From ravi@acsu.buffalo.edu Tue, 28 Dec 1993 02:54:03 GMT Date: Tue, 28 Dec 1993 02:54:03 GMT From: ravi@acsu.buffalo.edu (Ravi S. Subramaniam) Subject: Filter charateristics of a fuzzy controller Hi folks, I am looking for pointers (paper, books, suggestions etc) that highlight/prove/demonstrate/evaluate the filter characteristics of a fuzzy controller. I would prefer theoretical approaches but empirical descriptions would suffice. Thanks !! Ravi Subramaniam Please respond via email: ravi@acsu.buffalo.edu ------------------------------ From NISKANEN@viikki.Helsinki.FI 28 Dec 1993 08:59:46 EET DST Date: 28 Dec 93 08:59:46 EET DST From: "DOS VESA A NISKANEN, HY, PUH 7085052" Subject: Question about FAM's using AVQ (DCL) ------- Forwarded Message Follows ------- Received: From HYLKN1/MAILQUEUE2 by charon2-gw.pc.Helsinki.FI via Charon-4.0-VROOM with IPX id 102.931227211806.352; 27 Dec 93 21:25:24 -200 Received: From cc.Helsinki.FI by charon2-gw.pc.Helsinki.FI via Charon-4.0-VROOM with SMTP id 102.931227211806.352; 27 Dec 93 21:25:16 -200 Received: from hylk.Helsinki.FI by hylk.Helsinki.FI (PMDF V4.2-14 #4706) id <01H6ZLK8V79S9ZNHDT@hylk.Helsinki.FI>; Mon, 27 Dec 1993 21:18:07 EET Received: from kruuna.Helsinki.FI by hylk.Helsinki.FI (PMDF V4.2-14 #4706) id <01H6ZLJYRWKG9TI475@hylk.Helsinki.FI>; Mon, 27 Dec 1993 21:17:54 EET Received: from next5 (next5.cs.umr.edu [131.151.6.35]) by kruuna.Helsinki.FI (8.6.4/8.6.4) with SMTP id VAA08008 for ; Mon, 27 Dec 1993 21:17:41 +0200 Received: by next5 (NeXT-1.0 (From Sendmail 5.52)/1.34) id AA07124; Mon, 27 Dec 93 13:12:53 CST From mmoganti@mcs213k.cs.umr.edu Mon, 27 Dec 1993 13:12:53 -0600 (CST) Date: Mon, 27 Dec 1993 13:12:53 -0600 (CST) From: mmoganti@mcs213k.cs.umr.edu Subject: Question about FAM's using AVQ (DCL) Resent-message-id: <01H6ZLK8Y5DE9ZNHDT@hylk.Helsinki.FI> Message-id: <9312271912.AA07124@next5> MIME-version: 1.0 X-Mailer: ELM [version 2.3 PL11] Content-type: TEXT/PLAIN; CHARSET=US-ASCII Content-transfer-encoding: 7BIT I am new to NN's and Fuzzy Logic field, and want to apply some of these ideas in my research - Machine Vision. My question is about "Adaptive Vector Quantization", as Bart Kosko calls in his book "Neural Networks and Fuzzy Systems". He talks about Adaptive Vector Quantization using Differential Competitive Learning for updating the winning synaptic vectors in Chapters 6 and 8. (a) In chapter 6, on page 227 he uses an input vector "x" in describing how AVQ works. (b) On page 228, he uses "Si(xi)" and "Sj(yj)" as competitive input and output signals respectively. Actually my problem is similar to the Inverted Pendulum Problem using Adaptive Fuzzy Associative Memories -- Pages: 326 - 333 of the same book. I am unable to figure-out how to use DCL with the FAM's given in Chapter 8. I have a function f: X x Y -> Z. How should I choose my input vector ?? Should I make the two dimensional matrix into a one dimensional vector in place of "x" -- in (a) ?? What should be the Si and Sj in case of a FAM system: (X, Y; Z). I hope my questions are clear. Clearing my doubts, would help me in moving forward from my struck position. Thanks a lot for your Time and Help, Happy New Year, regards, Madhav Moganti mmoganti@cs.umr.edu DR. VESA A NISKANEN, DEPT OF ECONOMICS & MANAGEMENT, UNIV. OF HELSINKI, FINLAND, TEL +358 0 708 5052, FAX +358 0 708 5096 ------------------------------ From tsutherl@acs.ryerson.ca 30 Dec 1993 16:51:17 GMT Date: 30 Dec 1993 16:51:17 GMT From: tsutherl@acs.ryerson.ca (Tomie Sutherland) Subject: uses of fuzzy logic Does anyone have a list practical uses for fuzzy logic in industry today? The only one i've been able to find to date is a produc by sony. I would appreciate if someone could fill me in on developed and currently being developed systems using fuzzy logic. Thanks ------------------------------ From timb@earlham.edu Sun, 2 Jan 1994 13:32:48 -500 Date: Sun, 2 Jan 94 13:32:48 -500 From: timb@earlham.edu Subject: Signature Recognition with Fuzzy logic I am a member of a five person team writting a signature recognition program and I am weighing the advantages of a fuzzy logic engine over a neural network. Does anyone have any comments? There will be five of us working on the project for approximately ten weeks. Sincerely, Tim Bradley Timb@Yang.Earlham.edu ------------------------------ From cs188387%csun05@email.tuwien.ac.at Mon, 3 Jan 1994 08:22:17 GMT Date: Mon, 3 Jan 1994 08:22:17 GMT From: cs188387%csun05@email.tuwien.ac.at (Yeung Wai Keung \(BACS4 Class A\)) Subject: Inverted Pendulum FAMs Hi, Does anyone know the FAMs (the rule base) for the inverted pendulum example. I think it should be 3x3x3x3 = 81 rules. Is anyone working on the fuzzy inverted pendulum. If yes, would you share the experience with me? I want to use Genetic Algorithm to train the membership function to produce a efficient fuzzy controller for the inverted pendulum example! Thanks in advance, Destine Yuen cs373243@COMP.HKP.HK ------------------------------ From weiss@pat.mdc.com Wed, 22 Dec 1993 23:51:48 CST Date: Wed, 22 Dec 93 23:51:48 CST From: weiss@pat.mdc.com Subject: My last day on the job As many of you already know, McDonnell Douglas has had a major reduction in force (layoff), and I am among those who will depart tomorrow. One consequence is that until I find another position, or some other account to use, I will be off Internet for a while. For those of you who may know of a job in fuzzy logic (research, development, applications, teaching, etc.), or decision science (including Bayesian probability theory and decision analysis), or management science, I would appreciate any referrals. Since this will be my last opportunity to send out e-mail, I will make my resume available on the misc.jobs.resumes news group. A friend has offered to accept e-mail responses for the time being. His e-mail is desrosie@pat.mdc.com. To contact me until further notice, you can call my voice mail at (713) 639-3455, 24 hours a day. I can receive faxes at (713) 212-5060. Paper mail should be addressed to Jonathan Weiss 2437 Bay Area Blvd. #244 PO Box 58960-244 Houston TX 77258-8960 Best wishes for the holidays, and I hope to contact you all very soon with good news! By the way, my resume was posted by another friend, David Mulcihy, and it's his name you should look for in the index on the misc.jobs.resumes newsgroup. ------------------------------ From weiss@pat.mdc.com Wed, 22 Dec 1993 23:39:27 CST Date: Wed, 22 Dec 93 23:39:27 CST From: weiss@pat.mdc.com Subject: Where to find my resume Addendum to my earlier note: my resume appears in misc.jobs.resumes, but because I will not have direct access to Internet for a while, it was listed by a friend of mine, David Mulcihy, which is how it appears on the file list. Another friend has offered to be the recipient for e-mail responses; his e-mail address is desrosie@pat.mdc.com, and he will send on any messages that start with "message to J. Weiss" or something like that. Thanks again for your help! ------------------------------ End of Digest ************************ Contents: CFP: Tools with Artificial Intelligence (ck@cs.tulane.edu (Cris Koutsougeras)) CFP:(ISPACS '94) 1994 IEEE Int. Workshop on Intelligent Signal (bj@rnd.sec.samsung.co.kr (Byeungwoo Jeon)) fuzzy logic to solder quality in PCB's. (patnaik@irt.com (Rohit Patnaik)) AI/Fuzzy/NN software patents from 1992/93 (srctran@world.std.com (Gregory Aharonian)) Objective and subjective science (Geonics@vsb.cz) Is Lukasiewicz logic necessary? (Geonics@vsb.cz) Diff. between fuzzy logic, - inference and - control... (wattel@eb.ele.tue.nl (Bart Jan Wattel)) Re: uses of fuzzy logic (erik@til.com (Erik Horstkotte)) different sorts of fuzzy set theory ((Sabine Siegl) ) Neural Network with Fuzzy Logic (Andre Gomes de Melo Medeiros ) Artificial Intelligence Symposium (Jack Brahan ) Call for Papers: 37th Midwest Symposium on Circuits and Systems (mab@cajun23.cacs.usl.edu (Dr. Magdy Bayoumi)) CALL FOR PAPERS (hirota@hrt.hosei.ac.jp (Kaoru Hirota)) A Fuzzy Definition... ("Jamey T. Livingston" ) CFP: IEEE ASIC'94 (lee@rdcs.kodak.com (Paul x72869/MTD/6-81-RL)) CFP: Second Singapore International Conference on Intelligent Systems (SPICIS '94) (cheekit@iti.gov.sg (Dr Looi Chee Kit)) ---------------------------------------------------------------------- From: ck@cs.tulane.edu (Cris Koutsougeras) Subject: CFP: Tools with Artificial Intelligence CALL FOR PAPERS 6th IEEE International Conference on Tools with Artificial Intelligence November 6-9, 1994 Hotel Intercontinental New Orleans, Louisiana This conference is envisioned to foster the transfer of ideas relating to artificial intelligence among academics, industry, and government agencies. It focuses on methodologies which can aid the development of AI, as well as the demanding issues involved in turning these methodologies to practical tools. Thus, this conference encompasses the technical aspects of specifying, developing, and evaluating theoretical and applied mechanisms which can serve as tools for developing intelligent systems and pursuing artificial intelligence applications. Focal topics of interest include, but are not limited to, the following: * Machine Learning, Computational Learning * Artificial Neural Networks * Uncertainty Management, Fuzzy Logic * Distributed and Cooperative AI, Information Agents * Knowledge Based Systems, Intelligent Data Bases * Intelligent Strategies for Scheduling and Planning * AI Algorithms, Genetic Algorithms * Expert Systems * Natural Language Processing * AI Applications (Vision, Robotics, Signal Processing, etc.) * Information Modeling, Reasoning Techniques * AI Languages, Software Engineering, Object-Oriented Systems * Logic and Constraint Programming * Strategies for AI development * AI tools for Biotechnology INFORMATION FOR AUTHORS There will be both academic and industry tracks. A one day workshop (November 6th) precedes the conference (November 7-9). Authors are requested to submitt original papers to the program chair by April 20, 1994. Five copies (in English) of double-spaced typed manuscript (maximum of 25 pages) with an abstract are required. Please attach a cover letter indicating the conference track (academic/industry) and areas (in order of preference) most relevant to the paper. Include the contact author's postal address, e-mail address, and telephone number. Submissions in other audio-visual forms are acceptable only for the industry track, but they must focus on methodology and timely results on AI technological applications and problems. Authors will be notified of acceptance by July 15, 1994 and will be given instruc- tions for camera ready papers at that time. The deadline for camera ready papers will be August 19, 1994. Outstanding papers will be eli- gible for publication in the International Journal on Artificial Intelligence Tools. Submit papers and panel proposals by April 20, 1994 to the Program Chair: Cris Koutsougeras Computer Science Department Tulane University New Orleans, LA 70118 Phone: (504) 865-5840 e-mail: ck@cs.tulane.edu Potential panel organizers please submit a subject statement and a list of panelists. Acceptances of panel proposals will be announced by June 30, 1994. A computer account (tai@cs.tulane.edu) is running to provide automatic information responses. You can obtain the electronic files for the CFP, program, registration form, hotel reservation form, and general conference information. For more information please contact: Conference Chair Steering Committee Chair Jeffrey J.P. Tsai Nikolaos G. Bourbakis Dept. of EECS (M/C 154) Dept. of Electrical Engineering 851 S. Morgan Street SUNY at Binghamton University of Illinois Binghamton, NY 13902 Chicago, IL 60607-7053 Tel: (607)777-2165 (312)996-9324 e-mail: bourbaki@bingvaxu.cc.binghamton.edu (312)413-0024 (fax) tsai@bert.eecs.uic.edu Program Chair : Cris Koutsougeras, Tulane University Registration Chair : Takis Metaxas, (617) 283-3054, e-mail: takis@poobah.wellesley.edu Local Arrangements Chair : Akhtar Jameel, e-mail: jameel@cs.tulane.edu Workshop Organizing Chair : Mark Boddy, Honeywell Industrial Track Vice Chairs : Steven Szygenda, Raymond Paul Program Vice Chairs : Machine Learning: E. Kounalis Computational Learning: J. Vitter Uncertainty Management, Fuzzy Logic: R. Goldman Knowledge Based Systems, Intelligent Data Bases: M. Ozsoyoglu AI Algorithms, Genetic Algorithms: P. Marquis Natural Language Processing: B. Manaris Information Modeling, Reasoning Techniques: D. Zhang Logic and Constraint Programming: A. Bansal AI Languages, Software Engineering, Object-Oriented Systems: B. Bryant Artificial Neural Networks: P. Israel Distributed and Cooperative AI, Information Agents: C. Tsatsoulis Intelligent Strategies for Scheduling and Planning: L. Hoebel Expert Systems: F. Bastani AI Applications (Vision, Robotics, Signal Processing, etc.): C. T. Chen AI tools for Biotechnology: M. Perlin Strategies for AI development: U. Yalcinalp Publicity Chairs : R. Brause, Germany Mikio Aoyama, Japan Benjamin Jang, Taiwan Steering Committee : Chair: Nikolaos G. Bourbakis, SUNY-Binghamton John Mylopoulos, University of Toronto, Ontario, Canada C. V. Ramamoorthy, University of California-Berkeley Jeffrey J.P. Tsai, University of Illinois at Chicago Wei-Tek Tsai, University of Minnesota Benjamin W. Wah, University of Illinois at Urbana ------------------------------ From bj@rnd.sec.samsung.co.kr Mon, 3 Jan 1994 04:55:39 GMT Date: Mon, 3 Jan 94 04:55:39 GMT From: bj@rnd.sec.samsung.co.kr (Byeungwoo Jeon) Subject: CFP:(ISPACS '94) 1994 IEEE Int. Workshop on Intelligent Signal CALL FOR PRESENTATIONS ISPACS '94 1994 IEEE International Workshop on Intelligent Signal Processing and Communications Systems Oct. 5-7, 1994 Seoul, Korea The objective of the workshop is to provide a forum for discussions of new results and ideas on intelligent signal processing and their applications to communication systems. Topics include various advanced signal processing technologies to achieve intelligent and adaptable signal processing with applications to communications. The three-day workshop will feature serial sessions for all the contributions. Each speaker will have about 20-30 minutes for presentation including discussion. Prospective authors are invited to submit recent advances on the related topics and present them in the workshop. Areas of interest include: .Intelligent Signal Processing (Based on Neural Networks, Fuzzy Logic, etc) .Adaptive/Nonlinear Signal Processing .Adaptive Processing for Signal Communications .Neural Network Applications for Communications .Adaptive Signal Processing for Mobile & Personal Communications .Model-based Video/Image Codings .Signal Processing for Visual Communications .Multidimensional Signal Processing .Programmable DSP Systems for Communications .VLSI/ASIC for intelligent Signal Processing Instructions and Schedule: Authors are invited to submit five copies of a 500 word abstract in English to the TPC co-chair with address listed below. The title page must include the author's name, complete return address, telephone, and fax numbers. Final photo-ready manuscripts for accepted contributions should be in the form of a 4-6 page extended summary. Abstract of 500 words for review due:April 20, 1994 Notification of Acceptance mailed: May 30, 1994 Camera ready copy due: August 15, 1994 Submission should be mailed to: Professor Yeong Ho Ha ISPACS 94 TPC Co-chair Dept.of Electronic Engineering Kyungpook National University 1370 Sankyuk-Dong, Taegu, 702-701, Korea Phone:+82-53-950-5535 Fax:+82-53-950-5505 e-mail:yhha @ee.kyungpook.ac.kr ======================================================================== Sponsors:IEEE Communications Society, Signal Processing Society In Cooperation with: IEICE Technical Groups of Communication Systems and Digital Signal Processing KITE Telecommunication Society,Acoustics and Signal Processing Society KICS Technical Group of Signal Processing ASK Technical Group of Signal Processing IEEE Korea Council IEEE Taipei Section Workshop Co-chairs Byeong Gi Lee(Seoul Nat'l Univ.,Korea) TBD Thomas Fischer(Washington St.Univ.,USA) TPC Co-chairs Yeong Ho Ha(Kyungpook Nat'l Univ.,Korea) Masayuki Kawamata(Tohoku Univ.,Japan) TBD Technical Program Committee Kaoru Arakawa(Meiji Univ.,Japan) Robert R.Bitmead(Australian Nat'l Univ.,Australia) Byung Uk Choi(Hanyang Univ.,Korea) Jong Soo Choi(Choong Ang Univ.,Korea) Hong Y.Chung(AT&T,USA) T.Russel Hsing(Bellcore,USA) Andre Kaup(Aachen univ. of Tech.,Germany) Sang Uk Lee(Seoul Nat'l Univ.,Korea) Ryuji Kohno(Yokohama Nat'l Univ.,Japan) Taejeong Kim(Seoul Nat'l Univ.,Korea) Vijay K.Madisetti(Georgia Institute of Tech.,USA) Teresa H.Meng(Stanford Univ.,USA) Yoshikazu Miyanaga(Hokkaido Univ.,Japan) Naohisa Ohta(NTT,Japan) Soo-Chang Pei(Nat'l Taiwan Univ.,ROC) Koichi Sakaniwa(Tokyo Institute of Tech.,Japan) Henry Samueli(UCLA,USA) Janusz A.Starzyk(Ohio Univ.,ROC) Chien-Chung Yeh(Nat'l Taiwan Univ.,ROC) International Advisory Committee Tomonori Aoyama(NTT,Japan) Maurice Bellanger(CNAM,France) Pei-Chi Chen(DG Telecom,MOTC,ROC) Jae-kyoon Kim(KAIST,Korea) S.V.Kartalopoulos(AT&T.USA) Tatsuo Higuchi(Tohoku Univ.,Japan) Tae Won Lee(Korea Univ.,Korea) Lin-shan Lee(Academia Sinica,ROC) Dave Messerschmitt(UC Berkeley,USA) Testuya Miki(NTT,Japan) Kyu Tae Park(Yonsei Univ.,Korea) Finance Hwang Soo Lee(KAIST,Seoul,Korea) Local Arrangements Dae Hee Youn(Yonsei Univ.,Korea) Registration Yong Hoon Lee(KAIST,Deajon,Korea) Publications Jae Chon Lee(KAIST,Korea) Publicity Jechang Jeong(Samsung Electronics,Korea) Special Program Sang Hoon Lee(Korea Telecom,Korea) ==================================================================== ------------------------------ From patnaik@irt.com Mon, 3 Jan 1994 09:25:24 PST Date: Mon, 3 Jan 94 09:25:24 PST From: patnaik@irt.com (Rohit Patnaik) Subject: fuzzy logic to solder quality in PCB's. Can anyone point me to current research or existing papers/text where fuzzy logic / Neural networks based methods to analyse solder joint quality. Please send mail to me directly at my email address: patnaik@irt.com Thank you in advance Rohit Patnaik ------------------------------ From srctran@world.std.com Tue, 4 Jan 1994 03:38:50 GMT Date: Tue, 4 Jan 1994 03:38:50 GMT From: srctran@world.std.com (Gregory Aharonian) Subject: AI/Fuzzy/NN software patents from 1992/93 TITLES TO 2700 SOFTWARE PATENTS ISSUED IN 1992 and 1993 Greg Aharonian Internet Patent News Service P.O. Box 404, Belmont, MA 02178 patents@world.std.com 617-489-3727 In January and February, the Patent Office is holding hearings in San Jose and Washington on the "problem" of software patents. The hearings will focus on two aspects: the nature of software patents (legal, economic and software theory), and the process of awarding software patents (in particular, software prior art). To help these hearings be more empirical, I have prepared a list of 2700 software patents issued in the past two years. It should help people base assertions in the actual statistics of issued software patents (of which there are over 11,000). The patents listed below were issued in all of 1992 and the first half of 1993. The list is based on what I consider to be a software patent, though it does reflect the nature of software patenting in the US, and does include software patents from all categories of software for which patents are being sought. And given the Patent Office's classification scheme for software (which they are revising), this was not a very easy list to compile. Despite the tremendous numbers of software patents being issued (with respect to the small numbers of true software innovations each year), software patenting as of yet is not a really big socioeconomic problem, though unless the software community acts now, it will become a big problem. A series of diskettes with more detailed information on each software patent listed below (full title, number, assignee, abstract, classification, application date) are available for $595. Also provided are diskettes with 9000 titles from my software prior art database, and version 1.0 of my patents claim analysis program. Proceeds go to my project of making the Patent Office APS patent text files Internet accessible. For more information on the Internet Patent News Service, send 'help' in the body of a message to patents@world.std.com on the Internet. ============================================================================== I use 42 categories of software patents, listed below, though a few are so big that I will probably split them up. Some patents are listed in more than one category to simplify your search for relevant patents. Many of the titles have been abridged without losing their meaning, to fit on one line. Some titles start with '--'. This indicates the assignee is IBM. I do this because IBM has 1/8 of all software patents, has made money off its software patents, and it is interesting to see their software patenting strategy. IMAGE PROCESSING OPERATING SYSTEMS NETWORKING and COMMUNICATIONS PROCESS CONTROL and NUMERICAL CONTROL GRAPHICS GRAPHICAL USER INTERFACES DATABASE WORD PROCESSING and DOCUMENT HANDLING FINANCIAL COMPUTER AIDED SOFTWARE ENGINEERING ARTIFICIAL INTELLIGENCE and EXPERT SYSTEMS ENGINEERING CIRCUIT DESIGN / COMPUTER AIDED ENGINEERING NEURAL NETWORKS SECURITY AND ENCRYPTION MULTIPROCESSING PATTERN RECOGNITION MEDICAL AND HEALTH SIGNAL PROCESSING SPEECH RECOGNITION and SYNTHESIS COMPRESSION NUMERICAL ANALYSIS COMPUTER AIDED DESIGN AUTOMOBILE OFFICE AUTOMATION GEOPHYSICAL NATURAL LANGUAGE ANALYSIS CHARACTER RECOGNITION PARALLEL PROCESSING BIOLOGY VISION DISTRIBUTED PROCESSING ALGORITHMS and DATA STRUCTURES OBJECT ORIENTED PROGRAMMING ROBOTICS FUZZY LOGIC SIMULATION EDUCATION PHYSICS CHEMISTRY SPREADSHEETS VIRTUAL REALITY What follows are the AI patents. The full list is being posted to comp.software-eng, misc.legal.computing, misc.int-property. ------------------------------------------------------------------------ ARTIFICIAL INTELLIGENCE and EXPERT SYSTEMS Expert system development utilizing a frame processing technique Knowledge base management system --Hybrid backtrack/lookahead searching for constraint-satisfaction problems Organization of theory based systems Parallel inferencing method and apparatus for rule-based expert systems Document processing system having integrated expert module Retrieving justifiably relevant cases from a case library Inference method and system Implementing a concurrent logic program Rule invocation mechanism for inductive learning engine Optimization techniques using genetic algorithms Garbage collection system for a symbolic digital processor VLSI hardware implemented rule-based expert system apparatus and method Expert system for assisting in the design of a complex system Core predictions for qualitative physics Fault finder expert system --Dynamic scheduling Processing knowledge Failure diagnostics, wearout monitoring and predicting life expectancy of helicopter gearboxes and other rotating equipment Storing information about and associating slot behaviors of a slot in a frame-based semantic network Adaptive knowledge inference method and system Expert system including arrangement for acquiring redesign knowledge Element checking system for use in forward inference system Inference engine with conflict resolution based on resource availability Rule base processing system and rule evaluation control method therein Process status supervisory system Dynamic assumption ordering for qualitative physics --Attribute-based classification and retrieval system Electric discharge machining control apparatus --Expert system method for performing window protocol-based data flow analysis within a data communication network Method of resolution for rule conflict in a knowledge based system Inferential system and inferential method Integrated multi-visual expert system maintenance advisor Representing and solving numeric and symbolic problems Control unit having an inference function Problem state monitoring Fuzzy-boolean multi-stage inference apparatus Knowledge based system for document authentication Rule generating and verifying apparatus for fuzzy control AI-based adaptive vehicle control system Totally integrated construction cost estimating, analysis, and reporting Machine failure isolation using qualitative physics Image processing having apparatus for correcting the image processing Editing documents Read-type procedural attachments in Rete-like pattern matching environment Fast method for a bidirectional inference Image processing system suitable for use for a facsimile --Rolling back an expert system Perceptual grouping by multiple hypothesis probabilistic data association Paper machine controller for operating slices Bucket-oriented route planning method, and navigation system Inference rule determining method and inference device Automatic ordering system for allowing a shop to tailor ordering needs Learning methodology for improving traffic prediction accuracy of elevator systems using AI --Performing consistency checks Expert advice display processing system System for switching a rule group Expert system tester Knowledge based system for document authentication Exchange route decision system and method Failure analysis system Expert system for communications network --Building a computer-based Rete pattern matching network Expert system for performing beta-token partitioning in a Rete network Parameter and rule creation and modification mechanism for use by a procedure for synthesis of logic circuit designs Non-linear genetic process for use with plural co-evolving populations Expert system and method for batch production scheduling and planning --Processor allocation for a multiprocessor constraint satisfaction search --Identifying predicate-argument structures in natural language text Landmark recognition for autonomous mobile robots Converting a programmable logic controller hardware configuration and corresponding control program for use on a first programmable logic controller to use on a second programmable logic controller --Expert system debugger Parallel processing qualitative reasoning system Internal expert system to aid in servicing Adaptive memory management system for garbage collection Selective back-tracking in a hierarchical system containing a flag which indicates the validity of a choice-point Mapping rules and objects from a stable storage database management system within a forward or backward chaining inference cycle Diagnostic expert system organized according to Bayesian theory Operating a real-time expert system in a graphical programming environment Automated system to prioritize repair of plant equipment Knowledge compilation / pattern reasoning system System for processing data using logic language --Performance improvement tool for rule based expert systems Fault diagnostic system Fault diagnosis expert system Goal-directed financial asset management system User interactive expert machine controller Geometric inference engine Remotely controlling sensor processing algorithms to expert sensor diagnoses Creating, maintaining and using an expert system by recursively modifying calibration file and merging with standard file Neural network / expert system process control system and method --Inference engine for integrating backward and forward chaining reasoning Expert control system for real time management of automated factory equipment Diagnostic expert system Automated troubleshooting using selective advice and a learning knowledge base Automatic testing method for information processing devices Technique for producing an expert system for system fault diagnosis Modular blackboard based expert system AI pattern-recognition-based noise reduction system for speech processing Artificial intelligence processor Rule inference and localization during synthesis of logic circuit designs Rule based system for synthesizing a program suited for a target system Massively parallel propositional reasoning Self-optimizing method and machine ------------------------------------------------------------------------ NEURAL NETWORKS Accelerated training apparatus for back propagation networks Learning in a neural network On-line process control neural network using data pointers Displaying the state of an artificial neural network --Neural network shell for application programs Dynamically stable associative learning neural system with one fixed weight Neural network with modification of neuron weights and reaction coefficient Training system for neural networks and the like Classification using a layered neural network for multiclass classification Electrophotographic process control device using a neural network for estimating states of the device Classification using in a hierarchical neural network Neural network for analysis of organic materials using spectral data Interspike interval decoding neural network Neural network training using evolutionary programming Artificial neural device utilizing phase orientation in the complex number domain to encode and decode stimulus response patterns Automatically identifying targets in sonar images Information processing apparatus Predictive self-organizing neural network Machine-based learning system On-line training neural network system for process control Method of architecting multiple neural network and system therefor Color processing with neural networks Computer neural network regulatory process control Data processing system Control device for controlling learning of a neural network Neuron unit and neuron unit network Control system with two level sensor system Color transformation from physical to psychological attribute using neural network Selecting characteristics data for a data processing system Recurrent neural networks teaching system Pattern recognition device using a neural network Automatically identifying targets in sonar images Adaptive network for automated first break picking of seismic refraction events and method of operating the same Speech recognition using neural network and fuzzy logic Analog pattern categorization having dual weighted connectivity between nodes --Neural network model for reaching a goal state Neural network with plural weight calculation methods Coloring device for performing adaptive coloring of a monochromatic image On-line process control neural network using data pointers Adaptive pathfinding neural network for a packet communication system Correcting setup parameter decision characteristics using a neural network Customized personal terminal device Generating feature matrix by normalized out-class/in-class variation matrices Rapid category learning and recognition system Radiation image processing, determination and image read-out apparatus --Look ahead method for predictive dialing using a neural network High order information processing method by means of a neural network Multi-sensor explosive detection system using an artificial neural system Self-repairing Trellis network Adaptive network for in-band signal separation Signal phase pattern sensitive neural network system and method Learning system in a neuron computer --Neural network shell for application programs Neural network supervisory process control system and method Pattern recogntion system Genetic algorithm synthesis of neural networks Neural network for predicting lightning Speech recognition apparatus of speaker adaptation type Rhythm pattern learning apparatus Electronic musical instrument utilizing a neural network Categorization automata employing neuronal group selection with memory Neural mode, a network and a chaotic annealing optimization method Self-organization of stable category recognition codes for analog devices Recurrent neural network with variable size intermediate layer Neural network with selective error reduction to increase learning speed Neural network for performing beta-token partitioning in a Rete network Neural-based autonomous robotic system Neural network / expert system process control system and method Neural network system for analyzing chromatographic peaks Neural network with weight adjustment based on prior history of input signal Controlling a process using a trained parallel distributed processing network Neural network with semi-localized non-linear mapping of the input space --Neural network model for reaching a goal state Process control using neural networks Time series data selection Printing signal correction and printer control utilizing neural network Adaptive neural network image processing system Plural neural network having a successive approximation learning method Neural network with normalized learning constant for fast stable learning Waveform analysis using neural network techniques Information processing system using neural network learning function ------------------------------------------------------------------------ PATTERN RECOGNITION Parametric clutter elimination Pattern recognition apparatus Constellation matching system and method Classification using in a hierarchical neural network Pattern recognition data processing using an associative matching method Device for the recognition of sequences in a multidimensional signal Adaptive dictionary for a fingerprint recognizer Track extension for use with ATCRBS surveillance procedures Pattern processing system Vector quantization method employing mirrored input vectors to search codebook Hick's probabilistic data association method Automatic categorization of applicants from resumes Training module for estimating mixture Gaussian densities for speech-unit models in speech recognition systems Adjusting the shape of a running band-like or plate-like metal material in the width direction Pattern matching system for speech recognition system Approximate entropy General method of pattern classification using the two domain theory Pattern recognition device using a neural network Analog pattern categorization having dual weighted connectivity between nodes Binary image processing for decoding self-clocking glyph shape codes Face recognition system Moving target discrimination from passive measurements Pattern recognition system having inter-pattern spacing correction --Optical recognition of chemical graphics Feature detection and side scan sonar overlap navigation via image matching Classifying feature data at a high speed Pattern recogntion system Allocating core points of fingerprints Character discrimination using height-to-width ratio and vertical extraction Categorization automata employing neuronal group selection with memory Non-linear genetic algorithms for solving problems by finding a fit composition of functions Brake lining temperature prediction system for a traction control system Self-organization of stable category recognition codes for analog devices Knowledge compilation / pattern reasoning system Detecting line segments and patterns in an optically scanned document Pattern recognition device Electronic accident estimating system Speech recognition having dynamic reference pattern adaptation Model based pattern recognition Abnormal pattern detecting apparatus Detecting subpopulations in spectral analysis Feature extracting method Pattern recogntion apparatus and method Pattern discrimination Minutia data extraction in fingerprint identification Method of fingerprint verification AI pattern-recognition-based noise reduction system for speech processing Pattern recognition utilizing area linking and region growth techniques Combustion prediction and discrimination apparatus for an internal combustion engine and control apparatus therefor ------------------------------------------------------------------------ NATURAL LANGUAGE ANALYSIS Detecting a target language equivalent of a predicate word in a source language word string in a machine translation system Language analyzer for morphemically and syntactically analyzing natural languages by using block analysis and composite morphemes Method for translating Chinese sentences Translation system Machine language translation which produces consistent translated words Database retrieval system having a natural language interface Device for designating a processing area for use in a translation machine Electronic dictionary with correct and incorrect words Electronic translator with multiple speed searching function Classifying text Natural language generation system for producing natural language instructions Generating and/or updating cooccurrence relation dictionary Text processing apparatus using modification relation analysis Machine translation apparatus having a process function for proper nouns with acronyms Written language parser system Translating source language data into multiple target language data including means to prevent premature termination of processing European language processing machine with a spelling correction function --Identifying predicate-argument structures in natural language text Methods for part-of-speech determination and usage Machine translation utilizing previously translated documents Translating words or phrases and information related to words or phrases Machine translation for output of kana/kanji characters corresponding to input Machine translation system Dictionary searching system Means for resolving ambiguities in text based upon character context Input of target language equivalents and determination of attribute data --Modeling words with multi-arc Markov models Determining the semantic relatedness of lexical items in a text Subject and word associating devices Processing natural language text using autonomous punctuational structure System for processing natural language including identifying grammatical rule and semantic concept of an undefined word Natural language processing system --Use of morphological data to cross reference keywords used for retrieval Analyzing the semantics and syntax for a sentence or a phrase Translation machine system with splitting and combining of sentences Arabic language translating device with pronunciation capability Machine translation system Translating adverb phrases placed between two commas through a converter using tree-structured conversion rules Machine translation system and method of translation Translating a language having polite expressions Parsing natural language by unifying lexical features of words Registering new words by using linguistically comparable reference words ----------------------------------------------------------------------------- FUZZY LOGIC Fuzzy template shape matching using a scoring function Using fuzzy logic to determine the number of passengers entering and exiting an elevator car Method for judging a color difference using rules fuzzy inference Fuzzy temporal control method Compound control method for controlling a system Gain adjusting device for PID controller for controlling rotational speed of internal combustion engine Programmable fuzzy logic circuits Fuzzy system Fuzzy-boolean multi-stage inference apparatus Rule generating and verifying apparatus for fuzzy control Apparatus for controlling direction of underground excavator Fuzzy rule set synthesis from existing fuzzy rule sets Fuzzy inference system having a dominant rule detection unit Speech recognition using neural network and fuzzy logic Fuzzy inference thermocontrol for injection molding machine with PID control Inference rule determining method and inference device Controlling vehicle automatic transmission according to fuzzy set theory Autonomous vehicle for automatically/autonomously running on route of travel and its method using fuzzy control Camera having fuzzy inference function Autonomous vehicle using fuzzy control Controlling lockup clutch in vehicle automatic transmission using fuzzy sets Vehicle automatic transmission control system ============================================================================== WHERE TO SEND YOUR COMMENTS ABOUT SOFTWARE PATENTS Those interested in presenting written comments on the topics presented in the supplementary information, or any other related topics, should address their comments to the Commissioner of Patents and Trademarks, marked to the attention of Jeff Kushan. Comments submitted by mail should be sent to Commissioner of Patents and Trademarks, Box 4, Patent and Trademark Office, Washington, DC 20231. Comments may also be submitted by telefax at (703) 305-8885 and by electronic mail through the Internet to comments-software@uspto.gov. Written comments should include the following information: - name and affiliation of the individual responding; - an indication of whether comments offered represent views of the individual's organization or are the respondent's personal views; and - if applicable, the nature of the respondent's organization, including the size, type of organization (e.g., business, trade group, university, non-profit organization) and principal areas of business or software development activity. ------------------------------ From Geonics@vsb.cz 4 Jan 1994 12:22:03 EDT Date: 4 Jan 94 12:22:03 EDT From: Geonics@vsb.cz Subject: Objective and subjective science >The problem is in how do we define the notion of a set. It appears that sets >cannot be made arbitrary large and of arbitrary elements. We could say that >the definition of a set as a collection of objects which share common >property is very "subjective" in its nature. Therefore, we might argue >that mathematical science is based on subjective assumptions on what >is a "good" definition for set and whether or not somebody "believes" >in the validity of "Axiom of Choice" because it can neither be proved nor >refuted from the usual axioms of set theory. >P.S. What if we try do define set A={x|x is a bird that lives in France}. >Obviously there are birds that fly from France to Italy or Spain and vice >versa. The problem is that set A changes its cardinality every day many >times. Classical set theory cannot deal with such a problem. Even in >the fuzzy setup, we could not deal with birds which will be "born" next day. >In other words, our universal set X of all birds on earth is constantly >changing, because some birds die and some are being born. You have touched very difficult problems of philosophy of mathematics. A very important, but unfortunately not very well known contribution to them has been brought by Prof. Petr Vopenka and his group (Charles University, Faculty of mathematics and physics, Malostranske nam. 25, 110 00 Prague, Czech Republic). There are many papers on the Alternative Set Theory developed by this group. Some references may be found in \bibitem{nr:mtvcz} Nov\'ak, V., Ram\'\i k, J.: {\em Mathematical Theory of Vagueness in Czechoslovakia: a Historical Survey and Bibliography.\/} Int. J. of General Systems {\bf 20}(1991), 5--15. The following are books more or less dealing with the topic touched above. \bibitem{nov:aml} Nov\'ak, V.: {\bf The Alternative Mathematical Model of Linguistic Semantics and Pragmatics}, Plenum, New York, 1992. \bibitem{vop:mast} Vop\v{e}nka P., {\bf Mathematics In the Alternative Set Theory}. Teubner, Leipzig 1979. \bibitem{vop:fmast} Vop\v{e}nka P., {\bf Fundamentals of the Mathematics In the Alternative Set Theory}. Alfa, Bratislava 1990 (in Slovak). Vilem Novak Geonics@vsb.cz ------------------------------ From Geonics@vsb.cz 4 Jan 1994 12:24:01 EDT Date: 4 Jan 94 12:24:01 EDT From: Geonics@vsb.cz Subject: Is Lukasiewicz logic necessary? >Subject: Is Lukasiewicz logic necessary? >There is also the usual >lattice logic, which gives "p and q = min(p,q)", and >"p or q = max(p,q)" when applied to the real unit interval. The >resulting implication, produced by the universally accepted formula >p <= (q implies r) iff (p and q) <= r, >gives q implies r = 1 for q <= r; q implies r = r otherwise. >This is discontinuous for q = r ; does this really matter? Yes, this does matter. One of the important achievements of fuzzy logic is the proof of the completeness theorem stating that \] T\vdash_a A iff T\models_a A \[ holds for every formula in every theory of first-order fuzzy logic (the subscript a denotes a provability degree). Unfortunately, as has been proved in \cite{pav:ofl}, this may not hold if the implication operation is not continuous. In my opinion, we should not dispense of completeness property of fuzzy logic since this makes the theory well established and balanced. Furthermore, it is a nontrivial generalization of classical logic preserving all its good properties but adding important feature of gradedness. Some of the citations are listed contaning details and full proofs of theorems. Vilem Novak Geonics@vsb.cz \bibitem{nov:fsta} Nov\'ak, V.: {\bf Fuzzy Sets and Their Applications}, Adam--Hilger, Bristol, 1989. \bibitem{nov:fofl} Nov\'ak, V.: {\em On the Syntactico-Semantical Completeness of First--Order Fuzzy Logic. Part I --- Syntactical Aspects; Part II --- Main Results.\/} Kybernetika {\bf 26}(1990), 47--66; 134--154. \bibitem{nov:aml} Nov\'ak, V.: {\bf The Alternative Mathematical Model of Linguistic Semantics and Pragmatics}, Plenum, New York, 1992. \bibitem{pav:ofl} Pavelka, J.: {\em On fuzzy logic I, II, III}, Zeit. Math. Logic. Grundl. Math. {\bf 25}(1979), 45--52; 119--134; 447--464. ------------------------------ From wattel@eb.ele.tue.nl Tue, 4 Jan 1994 13:21:50 MET Date: Tue, 4 Jan 94 13:21:50 MET From: wattel@eb.ele.tue.nl (Bart Jan Wattel) Subject: Diff. between fuzzy logic, - inference and - control... Hi everyone ! I've read some books about fuzzy set theory, fuzzy logic etc. There's one question that arose: What's the difference between fuzzy logic, fuzzy inference and fuzzy control ? Some books or papers even talk about fuzzy inference control !!! Maybe I did not read the books well enough, but I do hope someone will spent a little time to answer my question... Thanks in advance ! Bartjan Wattel (wattel@eb.ele.tue.nl) ------------------------------ From erik@til.com Tue, 4 Jan 1994 18:19:12 GMT Date: Tue, 4 Jan 1994 18:19:12 GMT From: erik@til.com (Erik Horstkotte) Subject: Re: uses of fuzzy logic ---In article euq@hermes.acs.ryerson.ca, tsutherl@acs.ryerson.ca (Tomie Sutherland) writes: > >Does anyone have a list practical uses for fuzzy logic in industry today? >The only one i've been able to find to date is a produc by sony. I would >appreciate if someone could fill me in on developed and currently being >developed systems using fuzzy logic. Here's a short partial list of some products, off the top of my head. 1. Canon has several 8mm video camcorders that use fuzzy logic for autofocus. One model I know of is the H800. I believe that Fisher also had one a while back. 2. Mitsubishi has an air conditioner unit sold in Japan called, I kid you not, Beaver Warp. It has a variable-rate compressor controlled by fuzzy logic. 3. One refridgerator manufacturer (sorry, I've forgotten which) has a fuzzy logic controlled defrost system. 4. I believe that Nissan and Honda both have automobile automatic transmissions with fuzzy logic shift control. 5. At least two elevator companies are using fuzzy control for elevator car scheduling. 6. Yamaichi Securities in Japan offered some mutual funds that invested in stocks under the control of a fuzzy system. I'm not sure whether or not these funds are still around. Hope this helps. --- Erik Horstkotte, Togai InfraLogic, Inc. The World's Source for Fuzzy Logic Solutions (The company, not me!) erik@til.com, gordius!til!erik - (714) 588-3800 info@til.com for info, fuzzy-server@til.com for fuzzy mail-server ------------------------------ From siegl@wu-wien.ac.at Wed, 5 Jan 1994 10:23:40 CST Date: Wed, 5 Jan 94 10:23:40 CST From: (Sabine Siegl) Subject: different sorts of fuzzy set theory Hello! Can anybody tell me whether there are different streams of development in fuzzy set theory? I have read in a book by Demant about the fuzzy- lukasiewicz theory and I would like to know which other approaches have been found. Thanks a lot! Mag. Sabine Siegl Universtity of Economics, Vienna Department for Small Business Management ------------------------------ From agmm@di.ufpe.br Wed, 5 Jan 1994 14:17:50 EST Date: Wed, 5 Jan 94 14:17:50 EST From: Andre Gomes de Melo Medeiros Subject: Neural Network with Fuzzy Logic Hi, Does anyone have any information about uses fuzzy neural networks ? I would appreciate if someone could send me a list of papers about this particular model of neural network using fuzzy logic concepts. Thanks in advance Andre Gomes E-mail: agmm@di.ufpe.br ------------------------------ From jack@ai.iit.nrc.ca Wed, 5 Jan 1994 13:27:37 EST Date: Wed, 5 Jan 94 13:27:37 EST From: Jack Brahan Subject: Artificial Intelligence Symposium ICSRIC94 AI SYMPOSIUM - FIRST ANNOUNCEMENT AND CALL FOR PAPERS 7th INTERNATIONAL CONFERENCE on SYSTEMS RESEARCH INFORMATICS AND CYBERNETICS August 15-21, 1994 Convention Centre - Congresshouse Baden-Baden, Germany Sponsored by: The International Institute for Advanced Studies in Systems Research and Cybernetics and Society for Applied Systems Research The Conference provides an international forum for the presentation and discussion of short reports on current systems research in humanities, sciences and engineering. A number of specialized symposia are held within the Conference to focus on research in computer science, linguistics, cognitive science, psycho-cybernetics, synergetics, logic, philosophy, management, education and related areas. The aim of the conference is to encourage and facilitate the interdisciplinary and trans-disciplinary communication and cooperation amongst scientists, engineers, and professionals working in different fields, and to identify and develop those areas of research that will most benefit from such a cooperation. AI Symposium The 1994 conference will place particular emphasis on Artificial Intelligence. Topics in this Symposium will include, but are not limited to, the following: Knowledge representation, Reasoning, Machine Learning, Fuzzy Logic, Neural Networks, Expert Systems, User Models, Intelligent Tutoring Systems, and Development Methodologies. Papers dealing with theoretical issues or with applications are solicited. In addition to paper presentations, panel sessions on several of these topics are planned. Participants who wish to present a paper are requested to submit a 500 word abstract as soon as possible, but not later than March 15, 1994. (E-mail submissions are preferred.) Notification of acceptance will be sent to authors by April 30, 1994. Full papers, not exceeding 5 single-spaced typed pages, will be required by May 30, 1994. Submissions for the Artificial Intelligence Symposium should be addressed to: Mr. J.W. Brahan Institute for Information Technology National Research Council Ottawa, Ontario K1A 0R6 Canada e-mail: jack@ai.iit.nrc.ca Tel: 613 993 2484 Fax: 613 952 7151 All other submissions and correspondence regarding the conference should be addressed to: Prof. George E. Lasker Conference Chairman School of Computer Science University of Windsor Windsor, Ontario N9B 3P4 Canada Fax: 519 974 8191 ------------------------------ From mab@cajun23.cacs.usl.edu Thu, 6 Jan 1994 02:07:44 GMT Date: Thu, 6 Jan 1994 02:07:44 GMT From: mab@cajun23.cacs.usl.edu (Dr. Magdy Bayoumi) Subject: Call for Papers: 37th Midwest Symposium on Circuits and Systems ***************************************************************************** 37th MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS Lafayette Hilton and Towers, Lafayette, Louisiana August 3-5, 1994 FINAL CALL FOR PAPERS ***************************************************************************** The 1994 Midwest Symposium on Circuits and Systems is organized by the Center for Advanced Computer Studies, University of Southwestern Louisiana. The symposium is devoted to all aspects of theory, design, and applications of circuits and systems. Emphasis is on current and future challenges in these areas as well as their interdisciplinary impact. Topics may include but are not limited to: + Analog/Digital Circuit Design + Digital Signal Processing + Control Systems & Robotics + Microwave Circuits + Nonlinear Circuits & Systems + Analog/Digital VLSI Design + Power Electronics & Systems + Analog and Digital Filter Design + Neural Networks + Image Processing + Fuzzy Logic + Communication Circuits + Solid State Circuits + Computer Networks + Expert Systems + Fault Analysis + Computer Aided Design + Petri Nets + Biomedical Applications + Military Applications + Space Applications + Automotive Applications + Intelligent Systems + Manufacturing + System Integration & + Multimedia Prototyping Prospective authors are invited to send 4 copies of a 500-word summary of the paper, headed by the title, author(s) name(s), address(es), affiliation(s), email address(es), and telephone number(s), and a 50 word abstract for inclusion in the technical program if the paper is accepted to: Dr. Magdy A. Bayoumi The Center for Advanced Computer Studies USL Box 44330, 2 Rex Street Lafayette, LA 70504 Paper summaries and abstracts must be received by February 15, 1994. Notification of acceptance or rejection and author kits will be sent by April 15, 1994. Proposals for special sessions, tutorials and workshops are invited. These must be submitted to Dr. Dolores Etter. Besides the technical program, a very entertaining social program is planned. It will introduce the symposium attendees and their guests to the Cajun culture and Louisiana heritage. Lafayette is famous for its Cajun food, Cajun music and warm Cajun hospitality. Lafayette is a festive town all year round. It offers quality lodging at a very reasonable cost. It is about 120 miles west of New Orleans and served by American, Continental, Northwest and Delta Airlines. General Chair: Registration: Magdy A. Bayoumi Cathy Pomier The Center for Advanced The Center for Advanced Computer Studies Computer Studies USL Box 44330, 2 Rex Street USL Box 44330, 2 Rex Street Lafayette, LA 70504 Lafayette, LA 70504 Phone: (318) 231-6853 Phone: (318) 231-6147 Fax: (318) 231-5791 Fax: (318) 231-5791 email: mab@cacs.usl.edu email: cathy@cacs.usl.edu Technical Program Chair: Technical Program Co-Chair: W. Ken Jenkins Hussein Baher Coordinated Science Lab Electrical Engineering Dept. University of Illinois KFU of Petroleum and Minerals 1308 W. Main Street Dhahran 31261, Saudi Arabia Urbana, IL 61801-2307 Phone: (217) 333-2510 email: facc11f@saupm00.bitnet email: jenkins@uicsl.csl.uiuc.edu Special Sessions Chair: Proceedings: Dolores Etter Nian-Feng Tzeng Department of Electrical Engg. The Center for Advanced University of Colorado Computer Studies Boulder, CO 80309-0425 USL Box 44330, 2 Rex Street Phone: (303) 492-0638 Lafayette, LA 70504 Fax: (303) 497-2758 Phone: (318) 231-6284 email: etter@boulder.colorado.edu email: tzeng@cacs.usl.edu ------------------------------ From hirota@hrt.hosei.ac.jp Thu, 06 Jan 1994 15:49:36 +0900 Date: Thu, 06 Jan 94 15:49:36 +0900 From: hirota@hrt.hosei.ac.jp (Kaoru Hirota) Subject: CALL FOR PAPERS 　 BRAZIL-JAPAN Joint Symposium on Fuzzy Systems Campinas, Manaus, Brazil July 19-27, 1994 Announcement SYMPOSIUM The Brazil-Japan Joint Symposium on Fuzzy Systems invites all persons interesed in the field of Fuzzy Systems for presentation at the Symposium. Campinas is a mojor city of the State of Sao Paulo, one hour free-way driving from the city of Sao Paulo. Manaus is the capital of the State of Amazonas, the door to the rainforest. Both cities are easily acessed by frequent air services. The symposium will host sessions from July, 20 to 26, 1994. TOPICS OF INTEREST Basic and applied papers in all areas of Fuzzy Logic and Fuzzy Systems and their applications are being requested. Topics may include, but are not limited to: *Theoretic Foundations *Neural Networks & Connectionism *Fuzzy and Soft Computing *Vision & Image Understanding *Evolutionary Systems *Intelligent Systems *Learning and Knowledge Acquisition *Applications SCHEDULE Submission of FULL PAPERS(Camera Ready, IEEE Format): 30 April 1994 Notification: 30 May 1994 Three copies shall be send to the Symposium Secretriat: Brazil-Japan Fuzzy Symposium Fax:+55-192-39-1395 UNICAMP/FEE/DCA Phone:+55-192-39-4313 CP 6101 Telex:19-1150UCPS 13.081-970 Campinas-SP Brazil e-mail:gifsa@dca.fee.unicamp.br PROGRAM COMMITEE K.Hirota(Hosei University) -Chairman F.Gomide(UNICAMP)-Chairman T.Iokibe(Meidensha Co.) A.Rocha(UNICAMP) O.Itoh(Fuji Electric Co.) C.Morooka(UNICAMP) L.Koczy(Tokyo Institute of Technology) R.Tanscheit(PUC-Rio) M.Mukaidono(Meiji University) S.Samdri(INPE) M.Nakatsuyama(Yamagata University) J.Cardoso(UFSC) A.Ralescu(LIFE) J.Favilla(IBM) H.Shiizuka(Kogakuin University) N.Miyashita(Villares) M.Sugeno(Tokyo Institute of Technology) M.Andrade Netto(UNICAMP) T.Terano(LIFE) R.Machado(IBM) J.Watada(Osaka Institute of Technology) K.Kienitz(ITA) T.Yamazaki(JGC Corporation) F.Richieri(CVRD) Prof. Mikio Nakatsuyama Department of Electronic Engineering Yamagata University 4-3-16 Jonan, Yonezawa 992 Japan Tel: +81-238-22-5181 EXT 329 Fax: +81-238-24-2752 E-mail: nakatsu@ea5.yz.yamagata-u.ac.jp ------------------------------ From jtliving@austin.onu.edu Thu, 6 Jan 1994 09:19:46 -0500 (EST) Date: Thu, 6 Jan 1994 09:19:46 -0500 (EST) From: "Jamey T. Livingston" Subject: A Fuzzy Definition... I am hoping to make a presentation to a group of fellow students on FUZZY LOGIC. It will serve primarily as an introduction to FL. I would appreciate it if someone could give their opinion of what the very 'basics' of Fuzzy Logic are and perhaps their favorite metaphorical explanations,etc. Right now my understanding of FL is something like this: -Fuzzy Logic is a tool that describes how well something fits into a particular set of rules. -It _IS NOT_ probability. -The rules help to define something, for example: a cup is a vessel with an upward concavity with the capacity to hold liquid. Of course, you would have define what a vessel, upward concavity, etc. are but supposing we had 'black-boxes' that could detect and quantize how much a particular thing fits within the definitions of vessel and upward concavity then FL can give a set of mathematical rules that define what cup-ness is. These rules can then be coupled and extended to describe what a bowl is, etc. I guess my fundamental question is this: Is what is described above Fuzzy Logic? Is there more? If so, what? What are the primary 'operators' that work on fuzzy sets/rules? Thanks in Advance!! JT. ______________________________________________________________________________ Jamey T. Livingston (JT) Electrical Engineering ***************************** * Ohio Northern University * * The Home of * * The POLAR BEARS * ***************************** Computer Science email: jtliving@austin.onu.edu ______________________________________________________________________________ ------------------------------ From lee@rdcs.kodak.com Tue, 14 Dec 1993 15:08:16 GMT Date: Tue, 14 Dec 1993 15:08:16 GMT From: lee@rdcs.kodak.com (Paul x72869/MTD/6-81-RL) Subject: CFP: IEEE ASIC'94 ASIC'94 September 19 - 23, 1994 Rochester, New York CALL FOR PAPERS, WORKSHOPS, and TUTORIALS The Seventh Annual IEEE International ASIC Conference and Exhibit is organized to promote the practice of ASIC engineering by providing ASIC and systems level engineers/scientists and managers with the knowledge of the tools and techniques required in all phases of ASIC design and implementation. It emphasizes the understanding of practical details, trade-offs and economics of system integration using programmable array, gate array, standard cell, cell compiler, and full custom techniques in both the digital and analog domains. The conference offers: (1) An in-depth introduction to ASIC implementation for the systems engineers; (2) An advanced program for the experienced ASIC engineers; (3) A forum for ASIC users and vendors to share case design experiences; and (4) Executive overviews of ASIC trends, strategy, economics and competitiveness. HIGHLIGHTS -> Workshops (2 days) -> Tutorial Sessions -> Technical Papers -> Technical Exhibits -> Proceedings of Papers/Tutorials -> Evening Panel Discussions -> Spouse Program THIS YEARS CONFERENCE EXTENDS A SPECIAL REQUEST FOR TECHNICAL PAPERS ON ASICS FOR PERSONAL COMMUNICATION SYSTEMS. Technical Papers and Proposals for Workshops & Tutorials are Invited. Technical papers that describe the design, fabrication, testing, and application of ASICs in the following areas are solicited: ASIC Design & Applications: Architectures, Video/Electronic Imaging/HDTV Systems, Medical Electronics, Automotive ASICs, Data Processing & Communications ASICs, Speech & Image Processing, JPEG/MPEG Compression, Fuzzy Logic, Neural Networks. Analog & Mixed Signal ASICs: Design, Simulation, Test, Behavioral Modeling, A/D, D/A, Interfaces, Applications. ASIC CAD Tools, Simulation & Modeling: Design capture, Layout, Verilog, VHDL, Synthesis, Cell Compilation, & Module Generation, Timing Analysis, Circuit Simulation & Technology Modeling. ASIC Test & Manufacture: DFT, Fault Analysis, ATPG,High Speed Testing, Characterization, Reliability, Packaging. ASIC Technologies: CMOS, BiCMOS, GaAs Gate Arrays, Standard Cells, Compacted Arrays, Programmable Cores, Multichip Modules. Programmable Devices: FPGAs, EPLDs, PALs, PLAs, Parametrized Modules. ASIC Education, Economics & Project Management: Education & Training in modern ASIC Design Methodology, VHDL, Synthesis, ASIC Cost Analysis & Benchmarking, Technology Trade-offs. Workshops --------- Four or eight hour technical workshops covering ASIC design knowledge and skills. Proposals to form these workshops for either introductory or advanced level are invited. ASIC industry, as well as universities are encouraged to submit proposals. Contact the Workshop Chairman: Richard Hull Xerox Corporation 800 Phillips Road, Bldg. #103-06B, Webster, NY 14580 Phone: (716) 422-0281, Fax: (716) 422-9237 Tutorials: --------- Proposals are solicited for one to two hour educational tutorials covering ASIC fundamentals, mixed signal design, timing and logical synthesis, design for testability,VHDL, managing ASICs, and manufacturing considerations. Contact the Tutorial Chairman: David M. Boisvert East Coast Labs, Inc. 32 Thayer Street Rochester, NY 14607 Phone/Fax: (716) 242-9950 INSTRUCTIONS TO AUTHORS: ----------------------- Authors for papers, tutorials, and workshops are asked to submit 15 copies of a review package, which includes a 500 word summary on a 8-1/2 x 11 white paper. Two additional pages of figures and references are permitted. Author's name, affiliation, COMPLETE mailing address, telephone number and TELEX/ FAX/Email MUST appear on the summary. The summary should clearly state: 1) title of the paper; 2) the purpose of the work; 3) major contributions to the art; 4) the specific results and their significance; and 5) technical area. SEND SUMMARIES & PROPOSALS TO: Lynne M. Engelbrecht ASIC Conference Coordinator 1806 Lyell Avenue Rochester, NY 14606 Phone: (716) 254-2350 Fax: (716) 254-2237 IMPORTANT DATES: --------------- Summaries & Proposals deadline: March 4, 1994 Notification of Acceptance: April 15, 1994 Final Camera Ready Manuscript: June 10, 1994 Further Information may be obtained from: Conference Chairman: Paul P.K. Lee Eastman Kodak Company Rochester NY 14650-2008 Phone: (716) 477-2869, Fax: (716) 477-4947 Technical Program Chairman: Subhash C. Roy MCNC 3021 Cornwallis Road Research Triangle Park, NC 27709 Phone: (919) 248-1485, Fax (919) 248-1455 Exhibit Co-Chairmen: Peter D. Parslow PR Communications P.O. Box 10725 Rochester, NY 14610 Phone: (716) 288-7900, Fax: (716) 288-7909 AT&T Bell Laboratories 2A-232 600 Mountain Avenue Murray Hill, NJ 07974 Phone: (908) 582-2554, Fax: (908) 582-5194 ------------------------------ From: cheekit@iti.gov.sg (Dr Looi Chee Kit) Subject: CFP: Second Singapore International Conference on Intelligent Systems (SPICIS '94) CALL FOR PAPERS SPICIS '94 Second Singapore International Conference on Intelligent Systems 14-17 November 1994 Raffles City Convention Centre Singapore "Enhancing Business and Industry through Intelligent Systems" The Second Singapore International Conference on Intelligent Systems will be held in Singapore on 14-17 November, 1994. The conference is intended to provide a forum for presentations of applications of intelligent systems with a sectoral focus, as well as research on intelligent system technology that enable such applications. In addition to the technical sessions, there will be keynote, invited and tutorial sessions, as well as a panel on Intelligent System Applications in the Pacific Rim countries. Keynote, invited and tutorial speakers include Ed Mahler, Avron Barr, Guido Deboeck, Hideyuki Tamura, Bob Milne, Jae-Kyu Lee, and Desai Narasimhalu. Papers from all countries are sought in three main tracks: (1) Present applications of intelligent systems to the solution of problems in business, industry and other areas; (2) Describe research on intelligent systems technology that enable such applications; (3) Address issues in the deployment of intelligent systems. Areas of application include but are not limited to: agriculture, communications, construction & real estate, education & training, financial services, government, healthcare, publishing & information services, manufacturing, retail, wholesale & distribution, transportation. Intelligent system technologies include but are not limited to: knowledge-based systems, neural networks, fuzzy systems, vision, robotics, knowledge engineering, multimedia, natural language processing, human-computer interfaces, tutoring systems, machine learning. Topics in the deployment of intelligent systems include but are not limited to: justification for intelligent system projects, organizational issues, business process reengineering, human resources, integration with databases and information systems, knowledge sharing & reuse, knowledge acquisition, validation & verification. INFORMATION FOR AUTHORS Authors wishing to submit a paper should send five copies written in English to: Dr Looi Chee Kit SPICIS '94 c/o Japan-Singapore AI Centre 75 Science Park Drive #01-01-04 CINTECH II Singapore 0511 Tel: (65) 779 3088 Fax: (65) 779 6162 email: cheekit@iti.gov.sg The paper should identify one of the above tracks and the topic/subtopic it belongs to. Papers will be evaluated by an international programme committee on the basis of originality, correctness, clarity and significance of results. Use a Roman Times font, size 12, and double-spaced with a maximum of 5000 words. The cover page should include the following information: Authors' names mailing address, telephone and fax numbers, email address, area/subarea of paper, and about 200-word abstract. Authors of accepted papers, or their representatives, are expected to present their papers at the conference. Important dates: Papers must be received by 1 April 1994. Authors will be notified of acceptance or rejection by 1 July 1994. A final copy of each accepted paper, camera ready for inclusion in the conference proceedings, will be due by 1 August 1994. INTERNATIONAL PROGRAMME COMMITTEE Jean-Paul Barthes, Universitie de Technologies de Compiegne, France Tak-Wai Chan, National Central University, Taiwan Srisakdi Charmonman, Assumption University, Thailand Robert Fisher, University of Edinburgh, U.K. Norman Y. Foo, University of Sydney, Australia Shun Ishizaki, Keio University, Japan Steven Kim, University of Virginia, USA Myung Won Kim, Electronics & Telecom Research Institute, South Korea Jay Liebowitz, George Washington University, USA Jae Kyu Lee, KAIST, South Korea Dan O'Leary, University of Southern California, USA Amelia Fong Lochovsky, Hong Kong University of Science & Technology, Hong Kong Riichiro Mizoguchi, Osaka University, Japan Raymond Mooney, University of Texas, Austin, USA Claude le Pape, ILOG S.A., France John Smith, University of Central Queensland, Australia Mark E. Wiegand, BT Laboratories, U.K. Albert W.K. Yeap, Otago University, New Zealand ------------------------------ End of Digest ************************ Contents: CFP: Image and Signal Processing for Remote Sensing (mascaril@irit.irit.fr (Laurent MASCARILLA)) CFP: 12th International Conferences on Pattern Recognition (ICPR) (peleg@cs.huji.ac.il (Shmuel Peleg)) CFP: IEEE-SMC Transactions Special Issue on Learning and Robots (dorigo@ICSI.Berkeley.EDU (Marco Dorigo)) CFP: Neural Networks and Expert Systems in Medicine and Healthcare (shrwu@reading.ac.uk ()) CFP: 1st International Conference on Electronic Library and Visual Information Research (ELVIRA) (dz@dmu.ac.uk (D.Zhao)) Post-Doc Fellowship ("F. Masulli Dept. Physics Univ. Genova-It..." ) Neural Networks with Fuzzy Logic (Andre Gomes de Melo Medeiros ) Fuzzy classifiers of any sort, application to OO (tersavas@cssc-melb.tansu.com.au (Tansel Ersavas)) Re: A Fuzzy Definition... (Chuang Keng Chee ) Re: Neural Network with Fuzzy Logic (kellyfj@unix1.tcd.ie (Q)) Re: My last day on the job (rlp@bsu-cs.bsu.edu (Ralph L. Place)) help (balt@electra.upit.ro) Re: uses of fuzzy logic (spaceind@sugar.NeoSoft.COM (Space Industries Inc.)) conceptualization needed (mazlack@ucbeh.san.uc.edu) Input for ANN, how to prepare (sws@battelle.de (Steffen W. Schilke)) Re: A Fuzzy Definition... (Steve Lembark ) new BISC category under consideration (Glen Ozawa ) Re: Looking for a paper (Urgent) (daugher@cs.tamu.edu (Walter C. Daugherity)) Re: Diff. between fuzzy logic, - inference and - control... (tanaka@maui.til.com (Yokichi Tanaka)) Re: different sorts of fuzzy set theory (tmlaw@cs.cuhk.hk (Law Tak Ming)) last words from Dr. Zuliang Shen (Liya Ding ) [cfp] FUBEST'94 (lakovd@bgcict.bitnet (Prof. Dimiter Lakov)) ---------------------------------------------------------------------- From mascaril@irit.irit.fr Wed, 22 Dec 1993 18:26:21 GMT Date: Wed, 22 Dec 1993 18:26:21 GMT From: mascaril@irit.irit.fr (Laurent MASCARILLA) Subject: CFP: Image and Signal Processing for Remote Sensing within the international symposium on SATELLITE and REMOTE SENSING Second announcement and call for papers *********************************************************** * Conference on * * * * IMAGE and SIGNAL PROCESSING * * for REMOTE SENSING * * * * 26-30 Sept. 1994 CNR, ROME, Italy * * * *********************************************************** sponsored by : > The commission of the European communities,directorate general for science, research and development. > EOS - The European Optical Society > SPIE - The International Society for Optical Engineering **************************************************************************** At this conference all aspects of image and signal processing for remote image analysis will be encompassed . Papers describing recent and original work in the following and related research areas are sollicited : - Signal and image enhancement and restoration - Registration techniques - Stereoscopic images analysis - Shape and texture analysis - Image segmentation and object recognition - Multisensor and multisources techniques - Data fusion - Statistical, syntactic and hybrid pattern recognition techniques - Integration of remotely sensed data and geodata - Neural networks - Scene analysis and image understanding - Knowledge-based image interpretation - Expert systems, fuzzy logic and A.I. techniques **************************************************************************** Conference chair : DESACHY J. univ. Paul Sabatier - IRIT Institut de Recherche en Informatique de Toulouse 118, route de Narbonne 31062 TOULOUSE cedex FRANCE phone: (33) 61 55 65 99 fax: (33) 61 55 62 58 e.mail :desachy@irit.fr Conference cochairs : EHLERS M univ. of Osnabrueck FRG KITTLER J. univ. of Surrey UK MAITRE H. ecole nat. sup. de telecom. France Scientific program committee : CUBERO-CASTAN E. CNES France EICHINHERR DORNIER FRG FLOUZAT G. univ. de Toulouse France FUJIMURA S. univ. of Tokyo Japan GIRAUDON G. INRIA France HALLIKAINEN M. univ. of Helsinki Finland HARALICK R.M. univ. of Washington USA HUANG T. univ. of Illinois USA JAIN A.K. univ. of Michigan USA LANDGREBE D. Purdue univ. USA LEBERL F.W. Graz univ. Austria LEMEN H. IGN France MCKEOWN D.M. univ. of Pittsburgh USA MIGLIACCIO M. univ. Napoli Italy MORI A. Valenzano Italy MULDER N.J. ITC The Netherlands MUSSIO L. Politecnico Milano Italy REGAZZONI C. univ. of Genoa Italy SERPICO S.B. univ. of Genoa Italy TILTON J. NASA greenbelt USA ZAHZAH E.H. univ La Rochelle France propositions due date : 15 February 1994 Final Manuscript due date : 30 August l994 SUBMISSION OF ABSTRACTS : To qualify for acceptance, you must either fax one or mail all four copies of your abstract by 15 february 1994 to : *********************************** Satellite Remote sensing EUROPTO c/o Direct communications GmbH Xantener strasse 22 D - 10707 BERLIN , FRG *********************************** phone:++49-30-881 50 47 Fax:++49-30-882 20 28 Compuserve:100140,3216 (Heckel) CONDITION OF ACCEPTANCE : Authors are expected to secure travel and accomodation funding, independent of the organizers, through their sponsoring organizations before submitting abstracts. Only original material should be submitted. Abstracts should contain enough detail to clearly convey the approach and the results of the research ( a full paper may be joined, it will help for paper acceptance by the scientific committee ). Government and company clearance to present and publish should be final at the time of submittal. Submissions may be placed in an oral or poster session at the chairs' discretion. PROCEEDINGS OF THESE MEETINGS : These meetings will result inpublished proceedings that can be ordered through the advance programme. Manuscripts are required of all accepted applicants and must be submitted in English by 30 august 1994. Copyright to the manuscript is expected to be released for publication in the conference proceedings. Note : if an author does not attend the meeting and make a presentation, the chair may choose not to publish the author 's manuscript in the conference proceedings. Papers published are indexed in leading scientific databases including INSPEC, Compendex plus, Physics abstracts, Chemical abstracts, International aerospace abstracts and index to Scientific and technical proceedings. PAPER REVIEW : Commercial papers, description of papers with no research content, and papers where supporting data or a technical description cannot be given for proprietary reasons will not be accepted for presentation in this symposium. To assure a high quality conference, all abstracts and proceedings papers will be reviewed by the conference chairs and their scientific committees for technical merit and content. YOUR ABSTRACT SHOULD INCLUDE THE FOLLOWING : 1. ABSTRACT TITLE 2. AUTHOR LISTING (principal author first) full names and affiliations as they will appear in the advance programme. 3. CORRESPONDENCE FOR EACH AUTHOR Mailing address, telephone, telefax, e-mail address 4. SUBMIT TO : Conference title: Image and Signal processing Conference chair : Desachy J. at satellite remote sensing symposium 5. PRESENTATION Please indicate your preference for either "oral presentation" or "poster presentation" 6. KEY WORDS 7. ABSTRACT TEXT 500 words typed on white paper + eventually : full paper 8. BRIEF BIOGRAPHY ( principal author only ) 50 to 100 words ORAL PRESENTATION : Each author is generally allowed 25 minutes plus a five-minute discussion period. The following media equipment is provided free of charge : 35 mm slide projectors, overhead projectors, and electric pointers. Video and other equipment may be rented at the speaker 's expense. POSTER PRESENTATION : Interactive poster sessions will be scheduled in the evenings. Authors will be provided with poster boards for presentation set-up. All conference chairs encourage authors to contribute papers with technical content that lends itself well to the poster format. Please indicate your preferemce (oral or poster ) on the abstract. CHAIR / AUTHOR BENEFITS : Authors are expected to pay a reduced registration fee. Included with a fee payment are a copy of the procedings in which the participant 's role or paper appears, and other special benefits. *========================================================================* DESACHY Jacky IRIT (Institut de Recherche en Informatique de Toulouse) Equipe "Interpretation d'images" Universite Paul Sabatier 118, route de Narbonne 31062 TOULOUSE CEDEX FRANCE phone:(33) 61 55 65 99 fax:(33) 61 55 62 58 e.mail:desachy@irit.fr *========================================================================* ------------------------------ From peleg@cs.huji.ac.il Tue, 7 Dec 1993 00:48:14 GMT Date: Tue, 7 Dec 1993 00:48:14 GMT From: peleg@cs.huji.ac.il (Shmuel Peleg) Subject: CFP: 12th International Conferences on Pattern Recognition (ICPR) =============================================================================== CALL FOR PAPERS - 12th ICPR International Conferences on Pattern Recognition Oct 9-13, 1994, Jerusalem, Israel The 12th ICPR of the International Association for Pattern Recognition will be organized as a set of four conferences, each dealing with a special topic. The program for each individual conference will be organized by its own Program Committee. Papers describing applications are encouraged, and will be reviewed by a special Applications Committee. An award will be given for the best industry-related paper presented at the conference. Considerations for this award will include innovative applications, robust performance, and contributions to industrial progress. An exhibition will also be held. The conference proceedings are published by the IEEE Computer Society Press. GENERAL CO-CHAIRS: S. Ullman - Weizmann Inst. (shimon@wisdom.weizmann.ac.il) S. Peleg - The Hebrew University (peleg@cs.huji.ac.il) LOCAL ARRANGEMENTS: Y. Yeshurun - Tel-Aviv University (hezy@math.tau.ac.il) INDUSTRIAL & APPLICATIONS LIAISON: M. Ejiri - Hitachi (ejiri@crl.hitachi.co.jp) CONFERENCE DESCRIPTIONS 1. COMPUTER VISION AND IMAGE PROCESSING, T. Huang - University of Illinois Early vision and segmentation; image representation; shape and texture analysis; motion and stereo; range imaging and remote sensing; color; 3D representation and recognition. 2. PATTERN RECOGNITION AND NEURAL NETWORKS, N. Tishby - The Hebrew University Statistical, syntactic, and hybrid pattern recognition techniques; neural networks for associative memory, classification, and temporal processing; biologically oriented neural networks models; biomedical applications. 3. SIGNAL PROCESSING, D. Malah - Technion, Israel Institute of Technology Analysis, representation, coding, and recognition of signals; signal and image enhancement and restoration; scale-space and joint time-frequency analysis and representation; speech coding and recognition; image and video coding; auditory scene analysis. 4. PARALLEL COMPUTING, S. Tanimoto - University of Washington Parallel architectures and algorithms for pattern recognition, vision, and signal processing; special languages, programming tools, and applications of multiprocessor and distributed methods; design of chips, real-time hardware, and neural networks; recognition using multiple sensory modalities. PAPER SUBMISSION DEADLINE: February 1, 1994. Notification of Acceptance: May 1994. Camera-Ready Copy: June 1994. Send four copies of paper to: 12th ICPR, c/o International, 10 Rothschild blvd, 65121 Tel Aviv, ISRAEL. Tel. +972(3)510-2538, Fax +972(3)660-604 Each manuscript should include the following: 1. A Summary Page addressing these topics: - To which of the four conference is the paper submitted? - What is the paper about? - What is the original contribution of this work? - Does the paper mainly describe an application, and should be reviewed by the applications committee? 2. The paper, limited in length to 4000 words. This is the estimated length of the proceedings version. For further information contact the secretariat at the above address, or use E-mail: icpr@math.tau.ac.il . =============================================================================== Following are separate CFPs for each sub-conference within 12-ICPR =============================================================================== CALL FOR PAPERS - 12th ICPR - COMPUTER VISION AND APPLICATIONS Oct 9-13, 1994, Jerusalem, Israel CONFERENCE TOPICS: Early vision and segmentation; image representation; shape and texture analysis; motion and stereo; range imaging and remote sensing; color; 3D representation and recognition. PROGRAM COMMITTEE: T. Huang (Chair) - U. of Illinois (huang@uicsl.csl.uiuc.edu) J. Aggarwal N. Ahuja Y. Aloimonos P. Anandan M. Asada N. Ayache K. Baker H. Beyer P. Bouthemy A. Bovik K. Bowyer H. Bunke R. Chellappa H. Chen Z. Chen D. Cooper I. Cox C. Dyer S. Edelman O. Faugeras F. Ferrie P. Flynn D. Forsyth E. Grimson K. Hanna R. Hartley R. Horaud S. Hutchinson K. Ikeuchi W. Lin D. Metaxas R. Mohr S. Nayar R. Nelson S. Negahdaripour R. Nevatia J. Oliensis J. Ponce E. Riseman A. Rosenfeld P. Sander G. Sandini A. Sanfelieu Q. Shi M. Shizawa A. Singh R. Szeliski V. Torre S. Tsuji A. Waks Y. Wang J. Weng L. Wolff B. Zhang X. Zhuang S. Zucker A. Zisserman J.-O. Eklundh D. Geiger This conference is one of Four conferences in the 12th ICPR. Each submitted paper will be reviewed by members of the program committee. Papers describing applications are encouraged, and will be reviewed by a special Applications Committee. The conference proceedings are published by the IEEE Computer Society Press. 12-ICPR CO-CHAIRS: S. Ullman - Weizmann Inst. (shimon@wisdom.weizmann.ac.il) S. Peleg - The Hebrew University (peleg@cs.huji.ac.il) LOCAL ARRANGEMENTS: Y. Yeshurun - Tel-Aviv University (hezy@math.tau.ac.il) INDUSTRIAL & APPLICATIONS LIAISON: M. Ejiri - Hitachi (ejiri@crl.hitachi.co.jp) PAPER SUBMISSION DEADLINE: February 1, 1994. Notification of Acceptance: May 1994. Camera-Ready Copy: June 1994. Send four copies of paper to: 12th ICPR, c/o International, 10 Rothschild Blvd, 65121 Tel Aviv, ISRAEL. Tel. +972(3)510-2538, Fax +972(3)660-604 Each manuscript should include the following: 1. A Summary Page addressing these topics: - Indicate that the paper is submitted to the COMPUTER VISION conference. - What is the paper about? - What is the original contribution of this work? - Does the paper mainly describe an application, and should be reviewed by the applications committee? 2. Paper should be limited in length to 4000 words, the estimated length of the proceedings version. For further information on all ICPR conferences contact the secretariat at the above address, or use E-mail: icpr@math.tau.ac.il . =============================================================================== =============================================================================== CALL FOR PAPERS - 12th ICPR - PATTERN RECOGNITION AND NEURAL NETWORKS Oct 9-13, 1994, Jerusalem, Israel CONFERENCE TOPICS: Statistical pattern recognition; temporal pattern recognition; neural network models and algorithms; machine learning in pattern recognition; theoretical models and analysis of neural networks; models of Biological pattern recognition; adaptive models; fuzzy models; applications to Biological sequence analysis, applications to handwriting, speech, motor control, and active vision. PROGRAM COMMITTEE: Naftali Tishby (Chair) - Hebrew University (tishby@cs.huji.ac.il) Henry Baird Eric Baum Victor Brailovsky Alfred Bruckstein Pierre A. Devijver Robert P.W. Duin Isak Gath Geoffrey E. Hinton Nathan Interator Anil Jain Chuanyi Ji Michael Jordan Junichi Kanai Rangachar Kasturi Josef Kittler Yann LeCun Mike Mozer Erkki Oja Sarunas Raudys Gabriella Sanniti di Baja Eric Schwartz Haim Sompolinsky Vladimir Vapnik Harry Wechsler Daphna Weinshall Haim Wolfson This conference is one of Four conferences in the 12th ICPR. Each submitted paper will be carefully reviewed by members of the program committee. Papers describing applications are encouraged, and will be reviewed by a special Applications Committee. The conference proceedings are published by the IEEE Computer Society Press. 12-ICPR CO-CHAIRS: S. Ullman - Weizmann Inst. (shimon@wisdom.weizmann.ac.il) S. Peleg - The Hebrew University (peleg@cs.huji.ac.il) LOCAL ARRANGEMENTS: Y. Yeshurun - Tel-Aviv University (hezy@math.tau.ac.il) INDUSTRIAL & APPLICATIONS LIAISON: M. Ejiri - Hitachi (ejiri@crl.hitachi.co.jp) PAPER SUBMISSION DEADLINE: February 1, 1994. Notification of Acceptance: May 1994. Camera-Ready Copy: June 1994. Send four copies of paper to: 12th ICPR, c/o International, 10 Rothschild Blvd, 65121 Tel Aviv, ISRAEL. Tel. +972(3)510-2538, Fax +972(3)660-604 Each manuscript should include the following: 1. A Summary Page addressing these topics: - Indicate that the paper is for the PATTAERN RECOGNITION conference. - What is the paper about? - What is the original contribution of this work? - Does the paper mainly describe an application, and should be reviewed by the applications committee? 2. Paper should be limited in length to 4000 words, the estimated length of the proceedings version. For further information on all ICPR conferences contact the secretariat at the above address, or use E-mail: icpr@math.tau.ac.il . =============================================================================== =============================================================================== CALL FOR PAPERS - 12th ICPR - PARALLEL COMPUTING Oct 9-13, 1994, Jerusalem, Israel CONFERENCE TOPICS: Parallel architectures and algorithms for pattern recognition, vision, and signal processing; Special languages, programming tools, and applications of multiprocessor and distributed methods; Design of chips, real-time hardware, and neural networks; and Recognition using multiple sensory modalities. PROGRAM COMMITTEE: Steven Tanimoto (Chair) - Univ. of Washington (tanimoto@cs.washington.edu) Magdy Bayoumi Peter Burt Virginio Cantoni Per-Erik Danielsson Larry Davis M.J.B. Duff Marco Ferretti Joan Frau Concettina Guerra Richard Hall Susanne Hambrusch Robert Hummel Shu-Yuen Hwang Katsushi Inoue Simon Kasif Masatsugu Kidode Pieter Jonker James Little Joseph Pfeiffer, Jr. Russ Miller Viktor Prassana Sanjay Ranka Anthony Reeves Jorge Sanz Martin Savol Jon Webb Charles Weems Bertrand Zavidovique This conference is one of Four conferences in the 12th ICPR. Each submitted paper will be reviewed by members of the program committee. Papers describing applications are encouraged, and will be reviewed by a special Applications Committee. The conference proceedings are published by the IEEE Computer Society Press. 12-ICPR CO-CHAIRS: S. Ullman - Weizmann Inst. (shimon@wisdom.weizmann.ac.il) S. Peleg - The Hebrew University (peleg@cs.huji.ac.il) LOCAL ARRANGEMENTS: Y. Yeshurun - Tel-Aviv University (hezy@math.tau.ac.il) INDUSTRIAL & APPLICATIONS LIAISON: M. Ejiri - Hitachi (ejiri@crl.hitachi.co.jp) PAPER SUBMISSION DEADLINE: February 1, 1994. Notification of Acceptance: May 1994. Camera-Ready Copy: June 1994. Send four copies of paper to: 12th ICPR, c/o International, 10 Rothschild Blvd, 65121 Tel Aviv, ISRAEL. Tel. +972(3)510-2538, Fax +972(3)660-604 Each manuscript should include the following: 1. A Summary Page addressing these topics: - Indicate that the paper is submitted to the PARALLEL COMPUTING conference. - What is the paper about? - What is the original contribution of this work? - Does the paper mainly describe an application, and should be reviewed by the applications committee? 2. Paper should be limited in length to 4000 words, the estimated length of the proceedings version. For further information on all ICPR conferences contact the secretariat at the above address, or use E-mail: icpr@math.tau.ac.il. =============================================================================== =============================================================================== CALL FOR PAPERS - 12th ICPR - SIGNAL PROCESSING Oct 9-13, 1994, Jerusalem, Israel CONFERENCE TOPICS: Analysis, representation, coding, recognition and enhancement of signals: speech and image enhancement; image restoration; speech and audio coding; image and video coding; multiresolution and wavelet analysis; scale-space and joint time-frequency representation; morphological signal processing; auditory scene analysis. PROGRAM COMMITTEE: D. Malah (Chair) - Technion (malah@techunix.technion.ac.il) M. Barlaud J. Biemond A. Bregman Y. Bresler D. Chazan A. Cohen V. Cuperman Y. Ephraim S. Furui A. Gill N. Jayant E. Karnin M. Kunt S. Mallat W. Pearlman A. Rosenberg Y. Sakai P. Salembier M. Tekalp Y. Yasuda Y. Zeevi This conference is one of Four conferences in the 12th ICPR. Each submitted paper will be reviewed by members of the program committee. Papers describing applications are encouraged, and will be reviewed by a special Applications Committee. The conference proceedings are published by the IEEE Computer Society Press. 12-ICPR CO-CHAIRS: S. Ullman - Weizmann Inst. (shimon@wisdom.weizmann.ac.il) S. Peleg - The Hebrew University (peleg@cs.huji.ac.il) LOCAL ARRANGEMENTS: Y. Yeshurun - Tel-Aviv University (hezy@math.tau.ac.il) INDUSTRIAL & APPLICATIONS LIAISON: M. Ejiri - Hitachi (ejiri@crl.hitachi.co.jp) PAPER SUBMISSION DEADLINE: February 1, 1994. Notification of Acceptance: May 15, 1994. Camera-Ready Copy: June 30, 1994. Send four copies of paper to: 12th ICPR, c/o International, 10 Rothschild Blvd, 65121 Tel Aviv, ISRAEL. Tel. +972(3)510-2538, Fax +972(3)660-604 Each manuscript should include the following: 1. A Summary Page addressing these topics: - Indicate that the paper is submitted to the SIGNAL PROCESSING conference. - What is the paper about? - What is the original contribution of this work? - Does the paper mainly describe an application, and should be reviewed by the applications committee? 2. The paper, limited in length to 4000 words. This is the estimated length of the proceedings version. For further information on all ICPR conferences contact the secretariat at the above address, or use E-mail: icpr@math.tau.ac.il . =============================================================================== ------------------------------ From dorigo@ICSI.Berkeley.EDU Mon, 29 Nov 1993 19:24:21 GMT Date: Mon, 29 Nov 1993 19:24:21 GMT From: dorigo@ICSI.Berkeley.EDU (Marco Dorigo) Subject: CFP: IEEE-SMC Transactions Special Issue on Learning and Robots IEEE-SMC TRANSACTIONS SPECIAL ISSUE ON LEARNING AND ROBOTS Call For Papers: Special issue of IEEE Transactions on Systems, Man and Cybernetics (IEEE-SMC) on: Learning Approaches to Autonomous Robots Control. Guest Editor: Marco Dorigo Submission deadline: May 20, 1994. Recent research on control of autonomous robots (or agents) has increasingly focused on the development and application of new learning paradigms. This issue of robot control has been addressed in a number of research areas including the following: - Reinforcement learning (Q-learning, Classifier systems, etc.). - Evolutionary Computation. - Evolving neural nets. - Neurocontrol and neurodynamics. - Adaptive fuzzy systems. - Artificial life. The aim of the special issue of IEEE-SMC is to draw together current research on a variety of these learning techniques (used and developed in some or all of the above research fields) which have been applied to real robots' control, as well as to discuss the implications this research has on the design and development of robots in general. This includes the following (not exhaustive) sub-topics: - Learning approaches to stimulus-response robots. - Learning approaches to robots acting in real environments. - Supervised (that is, with a trainer) and unsupervised type of behavior learning. - Hierarchical architectures for learning robots. - Trade-offs between learning and design. - Interplay between reactive and reasoning type of robot activity in a "learning perspective." - Robustness of learning techniques to noisy environments and to unreliable sensors and/or actuators. - Ethologically inspired learning architectures for autonomous robots. - Foundational analysis of interdependence among situated activity, learning algorithms, and degree of environmental complexity. - Cooperative learning robots. Papers on research still in its "simulation" phase, that is, yet to be implemented on real autonomous robots, will also be considered if it has clear and relevant implications for still to come concrete realization. To be considered for the special issue, five copies of each paper must be received by the editor at one of the addresses below by May 20, 1994. The first page should include a descriptive title, the names and addresses of all authors, a brief abstract, and salient keywords. Submissions will be carefully refereed for technical contribution, originality of the approach, practical significance, and clarity of presentation (according to the standard IEEE Transactions criteria), as well as salience to the topic of the special issue. Notifications will be sent by September 15, 1994, and final versions of accepted papers will be due two months later. Expected publication is mid-1995. Marco Dorigo (Editor) Progetto di Intelligenza Artificiale e Robotica Dipartimento di Elettronica e Informazione Politecnico di Milano Piazza Leonardo da Vinci 32 20133 Milano, Italy dorigo@ipmel2.elet.polimi.it voice: +39-2-2399-3622 fax: +39-2-2399-3411 Marco Dorigo (Editor) IRIDIA Universite' Libre de Bruxelles Avenue Franklin Roosvelt 50 CP 194/6 1050 Bruxelles Belgium tel. +32-2-6503167 fax +32-2-6502715 mdorigo@ulb.ac.be All prospective contributors should get in touch with the editor as soon as possible, and in any case well before the submission deadline, in order to receive more detailed information on the sort of research that the IEEE-SMC special issue is expected to cover. Such responses will also help us with the organization of reviews, and with last minute communications (such as change of Editor's address). Queries on any aspect of the above should also be directed to the above address. ------------------------------ From shrwu@reading.ac.uk Thu, 11 Nov 1993 14:51:29 GMT Date: Thu, 11 Nov 1993 14:51:29 GMT From: shrwu@reading.ac.uk () Subject: CFP: Neural Networks and Expert Systems in Medicine and Healthcare =========================================================== *********************************** * * * CALL FOR PAPERS * * * *********************************** =========================================================== ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | International Conference on Neural Networks and | | Expert Systems in Medicine and Healthcare | | | | Plymouth, England: 24-26 August, 1994 | | | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ =========================================================== In the last few years there has been an explosion of interest in a number of intelligent systems techniques, notably in Neural Networks and Expert Systems. Medicine and healthcare have emerged as fertile areas for the application of these techniques because they require expertise (which is not always available), often involve non-trivial pattern recognition tasks, and because of difficulties with conventional methods. The aims of the conference are to bring together research engineers, medical informaticians, scientists, and medical experts, to discuss actual and potential applications of neural networks and expert systems in medicine and healthcare, and to identify their benefits, limitations, current and future roles. The organisers invite papers from prospective authors in academia, industry, government and private organisations world wide in all areas of medicine and healthcare including, but not limited to biosignal processing, medical image processing, cardiology, obstetrics and gynaecology, paediatrics, neurology, radiology, occupational medicine, drugs and administration of medicine, patient management, therapy, prevention of diseases, care and rehabilitation, public health, and data security. Papers should come under one of the following general headings: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | [] Neural Networks & Expert Systems Techniques | | [] Neural Networks & Expert Systems Applications | | [] Integration of Neural Networks & Expert Systems into | | Clinical Environment | | [] Software/Hardware Tools & Environments | | | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Practical papers are strongly encouraged, especially those that demonstrate significant potential improvements in medicine or healthcare, or cover topics such as the use of concensus expertise; limitations of neural networks or expert systems, safety and legal issues; hybrid neural networks-expert systems, integration with other techniques, e.g genetic algorithms and multimedia; decision support tools; uncertainty handling and fuzzy logic; clinical verification, validation and assessment, integration of neural networks and expert systems into clinical information systems and environments, user interface, intelligent databases; computer aided tutoring; novel software tools and techniques. Prospective authors should submit four copies of extended abstracts of 3-4 pages (single spacing and in English) by February 18, 1994, to ====================================================== | Dr. Emmanuel C. Ifeachor | | Plymouth Postgraduate Medical School | | University of Plymouth, Medical Centre, Derriford | | Pymouth, United Kingdom, PL6 8DH. | ====================================================== Each abstract should contain enough detail to permit reviewers to judge its suitability, and should indicate the contact person, address for correspondence, and which of the four headings above is most appropriate for their papers. Authors whose abstracts are accepted will be asked to develop the abstracts into full papers of not more than 6 pages in length for inclusion in the conference proceedings. Authors of papers of significant importance will be invited at the end of the conference to revise their papers for publication in a special edition of a journal of international repute. ================================================================= ----------------------------------------------------------------- | Deadlines: Submission of extended abstract 18 February 1994, | | notification of acceptance or rejection by 31 March 1994, | | Deadline for submission of full papers, camera-ready 17 June | | 1994. | ----------------------------------------------------------------- ================================================================= The Conference is organised by Plymouth Postgraduate Medical School and Centre for Intelligent Systems, University of Plymouth and co-sponsored by the Institution of Electrical Engineers. In co-operation with The Institute of Physical Sciences in Medicine The Royal Society of Medicine. ----------------------------------------- Honorary Conference Chairman: Professor Bruce McA. Sayers, WHO and Imperial College, London Conference Chairman: Professor Karl Rosen, Plymouth Postgraduate Medical School Conference Co-Chairman: Dr Emmanuel Ifeachor, Centre for Intelligent Systems, University of Plymouth ------------------------------------------ Advisory/programme Committee: Professor Bernard Widrow, Stanford University, USA Dr Rolf Engelbrecht, GSF Munchen - MEDIS-Intitute, Germany Professor Shoichiro Hara, Research Information Dept., Japan Professor Periklis Ktonas, University of Houston, USA Professor Sifis Micheloyannis, University of Crete, Greece Dr Barrie Jervis, Sheffield Hallam University Professor John Stonham, Brunel University Professor Mike Denham, University of Plymouth Dr Keith Greene, Freedom Fields Hospital Dr Elaine Allen, Derriford Hospital Dr Paulo Lisboa, University of Liverpool ================================================================= ================================================================= ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | TUTORIAL COURSE on | | | | Expert Systems and Neural Networks | | Plymouth, England: 23 August, 1994 | | | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The tutorial will provide a practical introduction to the principles and techniques of neural networks and expert systems. It will be presented by respected experts in the fields, and should be of particular interest to clinicians, academics and industrialists who are considering the application of intelligent systems techniques to their problems or who want a good appreciation of the principles involved. ================================================================= REGISTRATION OF INTEREST ======================== I am interested in attending or receiving further information about the conference/tutorial. Please tick: [ ] I wish to receive registration information [ ] I wish to present a paper at the conference provisionally entitled: ------------------------------------------------------------- ------------------------------------------------------------- ------------------------------------------------------------- -------------------------------------- [ ] I wish to attend the tutorial Name: -------------------------------------- Adress: ------------------------------------------------------------- ------------------------------------------------------------- ------------------------------------------------------------- ------------------------------------------------------------- -------------------------------------- Phone: -------------------------------------- ======================================================== PLEASE COMPLETE IN CAPITAL LETTERS AND RETURN TO THE ADDRESS BELOW: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | Mrs Jackie Masters | | Plymouth Postgraduate Medical School | | Derriford Hospital, | | Plymouth, United Kingdom, PL6 8DH | | | | Tel/Fax: +44-752-792711 | | | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ =============================================================== ------------------------------ From dz@dmu.ac.uk Tue, 2 Nov 1993 20:02:58 GMT Date: Tue, 2 Nov 1993 20:02:58 GMT From: dz@dmu.ac.uk (D.Zhao) Subject: CFP: 1st International Conference on Electronic Library and Visual Information Research (ELVIRA) ELVIRA First International Conference on Electronic Library and Visual Information Research De Montfort University, Kents Hill, Milton Keynes 3-5 May 1994 CALL FOR PAPERS The electronic library or virtual library represents one of the most important research areas in Information Sciences and Librarianship. De Montfort University, being a leader in electronic library research in the U.K., will be the host of the First International Conference on ELVIRA, chaired by Derek Law, Librarian of King's College, London. The Conference intends to bring together individuals from both academia and industry, who are involved in the R&D of electronic library theories and systems. Due to the multidisciplinary nature of the electronic library development, researchers in other related areas are also welcome to discuss their achievements in the context of electronic library. Research students are also encouraged to present their findings. The Conference will cover both technical and social-economic aspects of the electronic library, which will be addressed at both theoretical and application levels. Possible topics for paper submission include but are not limited to the following: Electronic library theory and systems Electronic library models, Electronic library and other related concepts, Electronic library systems Information networking Electronic document delivery, Network information retrieval (GOPHER, WAIS, WWW), Protocols (z39.50, SFQL), CWIS, High speed networks for image and multimedia communication. Image processing, graphics and visualisation Document image processing, Digital fine-art collections, Digital video, Virtual reality. Information retrieval Neural networks and fuzzy systems in information retrieval, Retrieval using parallel computers, Indexing and retrieval of images and multimedia objects, Information filtering, Concept retrieval Human computer interaction User interfaces of electronic library systems, Ergonomics, Usability tools and evaluation, User modelling, Learning/ educational effects. Electronic publishing Electronic books and journals, Hypertext/hypermedia information, Document architecture, Document interchange standards Economics and management Cost of implementing electronic libraries, Economic modelling and pricing of electronic information, Organisational changes Copyright Intellectual property rights and electronic information, Copyright management systems Submission of papers Contributors are required to submit a detailed synopsis of research which will be refereed by a panel under the chairmanship of Professor Mel Collier of De Montfort University. The synopsis should be written in English and within the length of 1000-1500 words. A biography of contributors should also be attached. The selected contributors will be required to submit a full paper of approximately 3000 words in length. The proceedings of the conference will be published. Schedule Last date for receipt of synopsis 31 January 1994 Notification of acceptance 1 March 1994 Full paper (with floppy disk version) 3 May 1994 Synopses, or requests for any further information, should be submitted to: Kathryn Arnold Information Centre Manager De Montfort University Hammerwood Gate, Kents Hill Milton Keynes, MK6 7HP Tel: 0908-834923 Fax: 0908- 834929 For your convenience, you may send the form below giving your notice of intention to contribute to ALVIRA >From: Name _____________________________ Address __________________________ _________________________________ _________________________________ Tel ______________________________ Fax ______________________________ Email ____________________________ Topic or title: ____________________________________ ____________________________________________________ Theme: _____________________________________________ Signed: ____________________________________________ ------------------------------ From MASULLI@genova.infn.it Fri, 7 Jan 1994 12:39:00 GMT Date: Fri, 7 Jan 1994 12:39:00 GMT From: "F. Masulli Dept. Physics Univ. Genova-It..." Subject: Post-Doc Fellowship ============= Post-Doc Fellowship in Soft-Computing =============== The Lab of Neural Networks of the Research Unit of Genoa (Italy) of the INFM (National Consortium for Matter Physics) could host a Post-Doc Fellow with a grant of the Program Human Capital and Mobility of the European Community. The research will be carried out in Application of Neural Networks and Fuzzy Systems (Soft Computing) to one of the following topics: - Image Understanding; - On-Line Handwriting Recognition. Applicant must be a Citizen of a member state of EEC or EFTA (with the exception of Italy) and hold a Doctoral Degree. The grant amount of the fellowship is interesting. Apply before Jan 20th, 1994 to Dr. Francesco Masulli (by fax or Email). Include a research program, a curriculum vitae, and the names and addresses of two referees. _____ Dr. Francesco Masulli Email: masulli@genova.infn.it Assistant Professor Fax: +39 10 314218 UdR INFM Genoa Via Dodecaneso 33 16146 Genova - Italy ------------------------------ From agmm@di.ufpe.br Fri, 7 Jan 1994 15:22:19 EST Date: Fri, 7 Jan 94 15:22:19 EST From: Andre Gomes de Melo Medeiros Subject: Neural Networks with Fuzzy Logic Hi, I am interested in combination of Fuzzy Logic and Neural Networks. I would aprecciate if someone could send me a list of papers about Fuzzy Neural Networks. Thanks in advance Andre Gomes E-mail: agmm@di.ufpe.br ------------------------------ From tersavas@cssc-melb.tansu.com.au 10 Jan 1994 16:48:54 +1100 Date: 10 Jan 1994 16:48:54 +1100 From: tersavas@cssc-melb.tansu.com.au (Tansel Ersavas) Subject: Fuzzy classifiers of any sort, application to OO I'm doing a research on Fuzzy classifiers and their application to OO Systems development process. Anyone out there can help me to point some reference, previous research material on this area? please email answers to tansel@cs.mu.oz.au Thanks in advance... Tansel Ersavas ------------------------------ From ckengche@Trantor.DSO.gov.SG Mon, 10 Jan 1994 17:15:31 SST Date: Mon, 10 Jan 94 17:15:31 SST From: Chuang Keng Chee Subject: Re: A Fuzzy Definition... After spending some time getting to know the domain (I am no expert), I feel that the essence of FL techniques is that Fuzzy Systems model the OPERATOR of a system as opposed to traditional systems which model the system. ------------------------------ From kellyfj@unix1.tcd.ie Mon, 10 Jan 1994 10:23:42 GMT Date: Mon, 10 Jan 94 10:23:42 GMT From: kellyfj@unix1.tcd.ie (Q) Subject: Re: Neural Network with Fuzzy Logic In comp.ai.fuzzy you write: >Hi, > Does anyone have any information about uses fuzzy neural >networks ? I would appreciate if someone could send me a list of papers >about this particular model of neural network using fuzzy logic concepts. Sorry I don't have precise references but check out: (1) Bart Koskos (Fuzzy Truck Backer Upper), there's a chapter on it in his book "Neural Networks and Fuzzy Systems" by prentice-hall (2) Carpenter & Grossberg: Fuzzy ART and Fuzzy ARTMAP Check out editions of "Neural Networks", the journal of the intnl Neural Nets society for the past 3 years, as they are both outlined there. Both are quite good, and very interesting, Best of luck, --Frank ------------------------------ From rlp@bsu-cs.bsu.edu Tue, 4 Jan 1994 09:07:14 -0500 Date: Tue, 4 Jan 94 09:07:14 -0500 From: rlp@bsu-cs.bsu.edu (Ralph L. Place) Subject: Re: My last day on the job For people seeking employment, let me suggest the on-line Career Center employment service (free). To access it, enter the command, gopher garnet.msen.com 9062 Of course you need to have a gopher to run. I have no connection with the service. Just trying to offer some help for anyone looking for a job. R. Place Dept of CS BSU Muncie, IN 47306 rlp@bsu-cs.bsu.edu ------------------------------ From balt@electra.upit.ro Mon, 10 Jan 1994 19:53:49 GMT Date: Mon, 10 Jan 94 19:53:49 GMT From: balt@electra.upit.ro Subject: help subscribe ------------------------------ From spaceind@sugar.NeoSoft.COM 10 Jan 1994 12:18:47 -0600 Date: 10 Jan 1994 12:18:47 -0600 From: spaceind@sugar.NeoSoft.COM (Space Industries Inc.) Subject: Re: uses of fuzzy logic one other use of fuzzy logic is the Commercial Refrigeration/Incubation Module (CRIM) which has flown on several space shuttle flights. its primary function is to serve as a thermally controlled (+/- 0.1 C) environmental carrier for protein crystal growth experiments, for example. for more info: Dr. Michael Lembeck Space Industries, Inc. 713-538-6054 ------------------------------ From mazlack@ucbeh.san.uc.edu 10 Jan 1994 20:00:29 EST Date: 10 Jan 94 20:00:29 EST From: mazlack@ucbeh.san.uc.edu Subject: conceptualization needed Conceptualization Help Needed: ----------------------------- I have a graduate student working on conceptualization from Natural Language text. The idea is to form the equivalent of human concepts through reading natural language text. We are seeking information about: (1) Algorithms and methodologies (2) Computational representational structures We will be considering both the cases where: (1) There are no preconceived categories or concepts (2) There is some sort of initial conceptualization seed. Please respond directly to me. ================================================================ email: mazlack@ucbeh.san.uc.edu snail: Lawrence J. Mazlack Post Office Box 21069 voice: +1-513-871-1389 (home) Cincinnati, Ohio 45221 +1-513-556-6964 (office) USA ================================================================ ------------------------------ From sws@battelle.de 11 Jan 1994 12:39:24 GMT Date: 11 Jan 94 12:39:24 GMT From: sws@battelle.de (Steffen W. Schilke) Subject: Input for ANN, how to prepare Hi there, well I have a question about how should I prepare my input (I expect the output in the same form) for an ANN : I would like to work with a set (approx. 20-30) of numbers in the form : 01.2345 1-2 digit . 4 digit fraction 1234.56(78) 4 digit . 2 (or 4) digit fraction 12345(.67) 5 digit . 0 (or 2) digit fraction I thought about to put that in a 16(32, 64) bit number (real or integer (multiplying with 10(0(0)))) and feeding that as bit-wise (16, 32 or 64 bits per number) input to my ANN (as I said I want the same form as output for the ANN) Are there ANNs in which I can feed that input in that form ? Any hints, tips, recommended readings or comments ? Thank you in advance steffen -- [standard disclaimer] In addition I would like to speak to my lawyer...... Deutsches Grundgesetz Artikel 22 : "Die Bundesflagge ist Schwarz-Rot-Gold" German Constitution Article 22 : "The German Flag is Black-Red-Gold" sws%bfxps.uucp@germany.eu.net sws@battelle.de It's not a trick, it's a .sig ------------------------------ From LEMBARK@SYSJJ.UG.EDS.COM Tue, 11 Jan 1994 09:59:50 -0700 (PDT) Date: Tue, 11 Jan 1994 09:59:50 -0700 (PDT) From: Steve Lembark Subject: Re: A Fuzzy Definition... > I am hoping to make a presentation to a group of fellow students on FUZZY >LOGIC. It will serve primarily as an introduction to FL. I would >appreciate it if someone could give their opinion of what the very >'basics' of Fuzzy Logic are and perhaps their favorite metaphorical >explanations,etc. > Right now my understanding of FL is something like this: > -Fuzzy Logic is a tool that describes how well something fits >into a particular set of rules. > -It _IS NOT_ probability. > -The rules help to define something, for example: > a cup is a vessel with an upward concavity with the > capacity to hold liquid. > Of course, you would have define what a vessel, upward concavity, > etc. are but supposing we had 'black-boxes' that could detect and > quantize how much a particular thing fits within the definitions > of vessel and upward concavity then FL can give a set of > mathematical rules that define what cup-ness is. These rules can > then be coupled and extended to describe what a bowl is, etc. > > I guess my fundamental question is this: Is what is described above >Fuzzy Logic? Is there more? If so, what? What are the primary >'operators' that work on fuzzy sets/rules? classical logic deals in true/false values. the are no probabilities or 'degrees of truth' associated with its values. problem: how many things in life are 100% anything? problem: things change over time and may be partly true during the xsition. e.g.: "i am standing in the living room" or "i am standing in the kitchen". assuming that there is a doorway between the two [and disregarding the b.s. about part of my body being between them in the doorway] it is possible for me to be partly in one and partly in the other -- thus making neither statement completely true in classical logic. in fuzzy logic you can come up with a set of 'fuzzy truth operators' which map the current condition into what's usually considered it "degree of truth" or "likelyhood of truth". thus with fuzzy logic i might say that i go from being 100% in the living room to 50% in the living room... as i move from 0% in the kitchen thru 50% in the kitchen, etc. this does a much better job of describing the reality of changing systems or ones with gradiations (e.g., "clean" laundry, baldness, quality of the rape -- as shakespeare described it). instead of saying that 'anything over 50% one way is true that way period', fuzzy logic can say to what degree the statement is true or how far it has changed. if you want a good explination see the C Users Journal, Vol. 11, No. 11, Nov/93, "C++ Classes For Fuzzy Logic", pp. 55-71. it describes (in english, not just computerese) what the fuzzy operators look like. you can also grab the code for examples of how to make the manipulators work. sl ------------------------------ From glen@eecs.berkeley.edu Tue, 11 Jan 1994 10:36:55 -0800 Date: Tue, 11 Jan 1994 10:36:55 -0800 From: Glen Ozawa Subject: new BISC category under consideration ============================================================ TO: BISC Group FROM: L.A. Zadeh At this juncture, members of BISC are, with a few exceptions, individuals or corporations. Under consideration is the establishment of a new category "Institutional Affiliate," which would involve for the most part academic institutions and nonprofit research laboratories. An Institutional Affiliate would not be expected to provide research support to BISC. The concept of an Institutional Affiliate is extended to facilitate the establishment of communication channels between BISC and Institutional Affiliates through e-mail and exchange of publications and reports. The links between BISC and Institutional Affiliates will be two-way and informal in nature. There will be no contractual arrangements. Please let me know if your institution or laboratory or center would be interested in becoming a BISC Institutional Affiliate. If your answer is in the affirmative, please e-mail to me the name, position, address and e-mail address of the person who would serve as the liaison. With best wishes for 1994, Lotfi A. Zadeh EMAIL: zadeh@cs.berkeley.edu FAX: (510) 642-5775, (510) 642-8271 TEL: (510) 642-4959 cc. Professor C. Sequin Professor M. Tomizuka =========================================================== ------------------------------ From daugher@cs.tamu.edu 11 Jan 1994 20:27:43 GMT Date: 11 Jan 1994 20:27:43 GMT From: daugher@cs.tamu.edu (Walter C. Daugherity) Subject: Re: Looking for a paper (Urgent) In article <1994Jan6.215148.27129@mercury.ncat.edu> vijay@mercury.ncat.edu writes: | Hi! , | I am looking for the following paper which appeared (or is | appearing) in | " Proceedings of Third International Conference on Industrial Fuzzy | Control and | Intelligent Systems, Houston, Texas, 1993." | Paper is | "From Min-Max Robust Control and Intelligent System- Kai liu and | Frank Lewis | Page 134-138". | I would appreciate if someone could give any information on how | to procure this paper. I have tried most of the libraries and they don't | have it. The Proceedings of IFIS-93, the Third International Conference on Industrial Fuzzy Control and Intelligent Systems, are available from the Center for Fuzzy Logic and Intelligent Systems Research Texas A&M University College Station, TX 77843-3112 Phone: (409)845-5466 Fax: (409)847-8578 E-mail: sherry@cs.tamu.edu for $50 (prepaid orders only; includes shipping in the U.S.). You may also request a catalog of other proceedings and technical reports. | Author's e-mail addresses would also be appreciated. | Thanks. | vijay | vijay@ncat.edu | | | -- | ******************************************************************************* | Vijayarangan Gopalan | e-mail:- vijay@ncat.edu vijay@linus.ncat.edu | ***************************************************************X************* It's kliu@arri.uta.edu. -- Walter C. Daugherity Internet, NeXTmail: daugher@cs.tamu.edu Center for Fuzzy Logic and Intelligent Systems Research Texas A & M University uucp: uunet!cs.tamu.edu!daugher College Station, TX 77843-3112 BITNET: DAUGHER@TAMVENUS ---Not an official document of Texas A&M--- ------------------------------ From tanaka@maui.til.com Tue, 11 Jan 1994 17:51:58 GMT Date: Tue, 11 Jan 1994 17:51:58 GMT From: tanaka@maui.til.com (Yokichi Tanaka) Subject: Re: Diff. between fuzzy logic, - inference and - control... In article <9401041222.AA19415@ebv.eb.ele.tue.nl>, wattel@eb.ele.tue.nl (Bart Jan Wattel) writes: |> |> What's the difference between fuzzy logic, fuzzy inference and |> fuzzy control ? Some books or papers even talk about |> fuzzy inference control !!! This industry still suffers from too many people, probably including ourselves, coining too many different phrases that mean the same thing. (Also, for using the same word to mean different things.) I would say that "fuzzy logic" is a very general term encompassing the technology. Anything using fuzzy set theory, whether rightfully or wrongfully, might be coined as being "fuzzy logic". Fuzzy inference is (to me) the method in which you evaluate a set of fuzzy IF-THEN rules. It is the process that (usually) take you from crisp input values, and ultimately outputs (usually) crisp output values. To perform a fuzzy inference, you need input variables, output variables, and a set of rules. There are various methods of performing fuzzy inferences such as max-min, max-dot (max-product), sum-product, etc. Fuzzy control is used to describe the end application (system). I suppose any control using some sort of fuzzy logic can be called fuzzy control. Almost always, fuzzy control does involve performing fuzzy inferences. Fuzzy inference control is specifically stating that the fuzzy control is using a fuzzy inference method. The set of fuzzy inference control is a subset of the set of fuzzy control (although, currently, I would say that the two sets are almost the same). The set of fuzzy inference control is also a subset of the set of all applications of fuzzy inference. In fact, the set of fuzzy inference control is the intersection of the set of fuzzy control and the set of all applications of fuzzy inference techniques. If (x is fuzzy_control) AND (x uses fuzzy_inference), then (x is fuzzy_inference_control). And all the above uses "fuzzy logic". To add a little more, if you take a fuzzy inference method and add the fuzzy rule base (knowledge base), it's often called the fuzzy expert system. (See FAQ.) FAM (or fuzzy associative memory) is also kind of related to "fuzzy inference". Sometimes I have seen it used synonymously; at other times, I have seen it used to refer to the fuzzy rulebase. |> |> Maybe I did not read the books well enough, but I do hope |> someone will spent a little time to answer my question... No, you read the books too well. -- Yoke Tanaka Togai InfraLogic, Inc. "fuzzy" tanaka@til.com 5 Vanderbilt, Irvine, Calif 92718, USA gordius!til!tanaka 714-588-3800 Fax 714-588-3808 ------------------------------ From tmlaw@cs.cuhk.hk Wed, 12 Jan 1994 11:37:11 +0800 Date: Wed, 12 Jan 94 11:37:11 +0800 From: tmlaw@cs.cuhk.hk (Law Tak Ming) Subject: Re: different sorts of fuzzy set theory Yes, there really is. Now, there are fuzzy Arithmatics, fuzzy neonetwork and a lot of applications in Probability and statistics. /Tak Ming Law The Chinese University of Hong Kong Computer Science Dept. In article <37423.siegl@nestroy.wu-wien.ac.at> you wrote: > Hello! > Can anybody tell me whether there are different streams of development in > fuzzy set theory? I have read in a book by Demant about the fuzzy- > lukasiewicz theory and I would like to know which other approaches have > been found. > Thanks a lot! > Mag. Sabine Siegl > Universtity of Economics, Vienna > Department for Small Business Management ------------------------------ From liya@iss.nus.sg Wed, 12 Jan 1994 11:40:28 +0800 Date: Wed, 12 Jan 1994 11:40:28 +0800 From: Liya Ding Subject: last words from Dr. Zuliang Shen My dear friends, It is my time to go. Thank you very much for your kindness and help. My friendship will always be with you. When you have new success, please allow me share your happiness. Bye Zuliang Shen ========================================================================== It is with deepest regret to inform you that Dr Zuliang Shen passed away January 10, 1994 in Singapore after one year fight against Lymphma. In his last minute, his wife Liya and her father were with him. He was born in March 3, 1954 in Shanghai, China. 1984-1986, he was Vice-chair of Computer Engineering Dept. of Shanghai University of Technology, China. 1986-1990, he worked in Prof. Mukaidono's Lab in Meiji University, Japan and obtained PhD under Prof. Mukaidono's supervision in the academic year of 1988 by his research on Fuzzy Logic. 1991-1993, he worked in Institute of Systems Science, Singapore. He was married. His wife, Dr. Liya Ding is also a fuzzy researcher. They had their 11th anniversary celebration of marriage one week ago. They have a three-year-nine-month daughter. A memorial service (non-religion) will be conducted on Jan 14 (Friday) at 4.00 pm at the Singapore Casket. The cremation will take place on Jan 15 (Saturday) at 11.00 am. ============================================================================== Dr. Liya DING | Institute of Systems Science | National University of Singapore | Heng Mui Keng Terrace, Kent Ridge | INTERNET: liya@iss.nus.sg SINGAPORE 0511 | ------------------------------ From lakovd@bgcict.bitnet Tue, 11 Jan 1994 12:09:42 +0200 Date: Tue, 11 Jan 1994 12:09:42 +0200 From: lakovd@bgcict.bitnet (Prof. Dimiter Lakov) Subject: [cfp] FUBEST'94 2nd Announcement and Call for Papers THE FIRST WORKSHOP ON FUZZY BASED EXPERT SYSTEMS FUBEST'94 September 28-30, 1994 Sofia, Bulgaria Sponsored by Bulgarian Academy of Sciences (BAS) Commission of the European Communities (CEC) Balkan Union of Fuzzy System Association (BUFSA) Institute for Computer&Communication Systems (ICCS) SUPPORTED BY (tentative) Union of Automation&Informatics (UAI) Technical University of Sofia (TU) Sofia University of Technology (VHTI) PROGRAM COMMITTEE Honorary Chairman: L.A.Zadeh, (USA) General Chairman: H.-J.Zimmermann, (Germany) Local Committee Chairman D.V.Lakov, (Bulgaria) Members: Batyrshin I., (Russia) Novak V., (Czech) * Bersini H., (Belgium) Pedrich W., (Canada)* Bien Z., (Korea) * Ryjov A., (Russia) Borisov A., (Latvia) Teodorescu N., (Romania) Hirota K., (Japan) Titli A., (France) Kacprzyk J., (Poland) Topencharov V., (Bulgaria) Koczy L., (Hungary) Vachkov G., (Bulgaria) Kovalerchuk B., (Uzbekistan) Verdegay J., (Spain) Lakov D., (Bulgaria) Yager R., (USA) Miyamoto A., (Japan) Yamakawa T., (Japan) * To be confirmed Organizing Committee Chairman: D.Lakov Secretary Ms.D.Georgieva SCOPE The main objectives are to establish the first contacts of the scientists in the field with the Balkan branch, exchange some plans and fertilize scientific thought and ideas in the field of Expert Systems based on Intelligent Engineering Technologies: Fuzzy, Neuro and other paradigms comprising so called MIQ (Machine Intelligent Quotient) systems. As a valuable issue will be activation and promotion of Bulgarian activity in the field, following the new policy of IFSA to support local branches on federative principle of organization. CONFERENCE TOPICS In the scientific program are included but not limited the following topics of interest concerning the applications of fuzzy paradigm into: - Dynamics of Knowledge-Based Systems - Expert and Diagnostic Systems - Reasoning Under Uncertainty - Decision Support Systems - Intelligent Interfaces - Case-Based Reasoning - Neural Networks - Machine Vision - Quality control - Sensor Fusion OFFICIAL LANGUAGE English IMPORTANT DEADLINES Submission of a camera ready paper May 30, 1994 Acceptance notification June 30, 1994 Early registration July 31, 1994 Registration August 31, 1994 INSTRUCTION FOR AUTHORS Authors are invited to submit camera-ready papers for FUBEST'94 Proceedings. - Papers have to be received by May 30, 1994. - Papers must be written in English. - Papers should not exceed 3 pages. There will be a charge of 10US$ per page exceeding 3 pages with a maximum two (2) excess pages. - Papers must be prepared on A4 size white papers with top, bottom and left margins to 25 mm and right margins to 20 mm - Please use a typewriter or letter quality printer in DOUBLE column format, single-spaced in Times or similar type style, type size 14 for the title, type size 12 for the author(s) name, affiliation and mailing address(es) (placed at the top of the first side) and type size 10 for all the others. - All text, figures, captions and references must be clean, sharp, readable and high contrast. - Fax submission are not acceptable. - Please deliver one original and two copies of your paper. Contributed papers are to be send to some of the following addresses: D.V.Lakov Organizing Committee Chairman of FUBEST'94 ISOMATIC LAB.ICCS-BAS Acad.G.Bonchev str.Bl.2 Sofia 1113 Bulgaria Tel: (+359/2) 737 601 Fax: (+359/2) 72-23-11 EMAIL: lakovd@bgcict.bitnet I.Z.Batyrshin, Department of Applied Mathematics, Kazan State University, 68 K.Marks str., 420015 Kazan, USSR Fax: (8432) 38 08 96 Fax: (8432) 420 20 12 EMAIL: batyr@bcentcom.kazan.su K.Hirota, Dept.of Systems Control Eng. Hosei University 3-7-2 Kajino-cho, Koganei-city Tokyo 184, Japan Tel&Fax: +81-423-87-6241 EMAIL: hirota@hrt.hosei.ac.jp J.Kacprzyk, System Research Institute Polish Academy of Sciences U1.Newelska 6, 01-447 Warsaw, POLAND Tel: (+48)(22) 36 41 03 Fax: (+48)(22) 37 27 72 EMAIL: kacprzyk@ibspan.waw.pl L.Koczy Technical University of Budapest Int.Center for Eng.Programs Bertalan L. utca 2. "Z"epulet I/102 H 1521 Budapest Hungary EMAIL: koczy@viking.ttt.bme.hu (after 31.08.1994), Japan EMAIL: koczy@sys.titech.ac.jp J.Verdegay Dept.de Ciencias de la Computacion e Inteligencia Artificial, Universidad de Granada, Spain Tel: (+58) 24 40 19 Fax: (+58) 24-33-17 R.Yager, Machine Intelligence Institute, Iona College, New Rochelle NY10801, USA EMAIL: rry1@iona.bitnet T.Yamakawa, Dept of Control Eng. & Science Kyushu Institute of Technology Iizuka, Fukuoka 820, JAPAN Tel: +81-948-29-7712 Fax: +81-948-29-7742 EMAIL: yamakawa@ces.kyutech.ac.jp N.- H.Teodorescu, Technical University of Iasi, Iasi 6600, Romania H.-J.Zimmermann RWTH - Templergraben D 5100, Aachen, Germany Tel:(0241) 80 61 82 Fax:(0241) 80 61 89 EMAIL: gd180zi@dacth11.bitnet THE REGISTRATION FEES: The conference fee includes: - Conference proceedings, - coffee and refreshments - Cocktail, September 29 - One day trip, September, 29 The fees will be paid as follows: 80 US$ until July 31. 1993 by banktransfer to BULGARIAN FOREIGN TRADE BANK LTD. 7, Sveta Nedelya Sq., Sofia 1000, BULGARIA SWIFT BFTBBGSF, Cable BULBANK Acc.No.4210093900 120 US$ at the registrarion desk A preferable conditions will be proposed for East European participants. CONTACT PERSON For more information on the conference, please contact: Assoc.Prof.D.V.Lakov Organizing Committee Chairman of FUBEST'94 ISOMATIC LAB.ICCS-BAS Acad.G.Bonchev str.Bl.2 Sofia 1113 Bulgaria Tel: (+359/2) 737 601 Fax: (+359/2) 72-23-11 EMAIL: lakovd@bgcict.bitnet Please refer this material to anyone else who may be interested. REGISTRATION FORM Please, complete and return as soon as possible THE FIRST WORKSHOP ON FUZZY BASED EXPERT SYSTEMS FUBEST'94 September 28-30, 1994 Sofia, Bulgaria Please check the appropriate boxes and type Mr., Ms., Prof., Dr. Last Name:...................................................... First Name:..................................................... Organization:................................................... Address:........................................................ Postal Code, City:.............................................. Country:........................................................ Telephone Number:............................................... Fax Number:..................................................... EMAIL Address:.................................................. I intend to attend the conference I intend to submit a paper I wish to enjoy the homestay program I wish to receive further information The following people could be interested in the conference: Remarks:........................................................ Date:........................................................... Please mail to: Assoc.Prof.D.V.Lakov ------------------------------ End of Digest ************************ Contents: Spring 1994 Course Announcements (Glen Ozawa ) Hybrid (Model based + FL) Control (rweeks@u.washington.edu (Robert Weeks)) Re: [Info Needed] Fuzzy Spatial Reasoning (zhang@lab3.fuzzy.or.jp (Weijing ZHANG)) Re: Hybrid (Model based + FL) Control (ziny@optima.com (Ziny Flikop)) BISC Seminar 1/20/94 - Abstract (Glen Ozawa ) Re: Hybrid (Model based + FL) Control (rweeks@u.washington.edu (Robert Weeks)) FUZZY ROBOT COMPETITION (Hisao Shiizuka ) Neural-Fuzzy Tool (NeuFuz) (nkhan@lcc1.nsc.com (Naveed Khan)) FL Shell - Pascal source code generator ("Igor Sauperl" ) [Frequently Asked Questions] Fuzzy-Mail (fuzzy-owner@vexpert.dbai.tuwien.ac.at) Call for Paper, IEEE Symp. on Intelligent Control (Steve Chiu ) Industry Uses of Fuzzy Logic (nkhan@lcc1.nsc.com (Naveed Khan)) CFP JIM Special issue (msanchez@mtecv2.mty.itesm.mx (Jose M Sanchez)) Call for Papers: CIFT'94 (fuller@cs.unitn.it (Robert Fuller (MF))) Re: uses of fuzzy logic (wattel@eb.ele.tue.nl (Bart Jan Wattel)) Handbook of Fuzzy Computation (Sean Pidgeon ) Fuzzy Logic Texts ?? (btaylor@slate.mines.colorado.edu (Taylor)) Re: Inverted Pendulum (qmdbms@gsusgi2.gsu.edu (Brian Schott)) ---------------------------------------------------------------------- From glen@eecs.berkeley.edu Wed, 12 Jan 1994 09:17:55 -0800 Date: Wed, 12 Jan 1994 09:17:55 -0800 From: Glen Ozawa Subject: Spring 1994 Course Announcements ================================================================= Spring 1994 Course Announcement University of California at Berkeley EECS Department Division of Computer Science CS 298-11 BISC SEMINAR ON SOFT COMPUTING Professors M. Anvari, J. Canny, L. Chua, R. Fearing, J. Feldman, J. Malik, S. Russell, A. Sangiovanni-Vincentelli, S. Sastry, C. Sequin, R. Wilensky, L.A. Zadeh, and A. Zakhor Thursdays 4:00 - 5:30 PM Credit: 1 unit, S/U Room: 47 Evans CC#: 26776 Topics covered relate to fuzzy logic, neural networks, probabilistic reasoning, genetic algorithms, chaotic systems and, more generally, to soft computing methods and their application to qualitative and approximate reasoning, control systems and information analysis, expert systems, image analysis and understanding, speech and natural language processing, planning, learning, search and decision analysis. ================================================================= ================================================================= Spring 1994 Course Announcement University of California at Berkeley EECS Department Division of Computer Science CS 294-4 FUZZY LOGIC, NEURAL NETWORKS AND SOFT COMPUTING Mondays 2:00 - 4:00 PM Credit: 2 units Room: 308 LeConte CC#: 26746 This course provides an introduction to soft computing - an emerging approach to computing which parallels the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision. The principal components of soft computing are fuzzy logic, neural network theory and probabilis- tic reasoning. Within fuzzy logic, attention is focused on the calculus of fuzzy if-then rules - a basic tool which is employed extensively in a wide variety of applications ranging from consumer electronics to medical diagnostic systems. In combination with neural network techniques, the calculus of fuzzy if-then rules provides a basis for the design of neuro-fuzzy systems which have the capability to learn and to adapt to changes in operating conditions. The basics of neural network theory and probabilistic reasoning are discussed and their roles in the applications of soft computing are illustrated by practical examples. PREREQUISITES: The course is self-contained. No prior knowledge of fuzzy logic or neural network theory is required. FINAL EXAMS: Optional written, oral, term paper or programming project. INSTRUCTOR IN CHARGE: L. A. Zadeh: 642-4959; zadeh@cs ================================================================= ------------------------------ From rweeks@u.washington.edu 12 Jan 1994 06:31:30 GMT Date: 12 Jan 94 06:31:30 GMT From: rweeks@u.washington.edu (Robert Weeks) Subject: Hybrid (Model based + FL) Control Does anybody know of any good references that show examples of a "hybrid" control law made up of a combination of nonlinear state equations and fuzzy logic? I have an automotive engine control application that could possibly benefit from such a "hybrid" control. I was hoping that one of you fuzzy logic experts might be able to provide some insight. The following is a brief description of what I'm trying to do: I have put together a nonlinear "observer" that estimates the air flow rate in an engine and the intake manifold pressure. Nonlinear equations are used in the observer to calculate the air flow rate at the throttle as well as the "speed-density" flow rate at the intake ports. The difference between the two flow rates is integrated to get an estimate of the intake manifold pressure. The throttle flow rate calculation is then corrected using a proportional + integral feedback term based on the error in the estimated and actual measured manifold pressure. My experience tells me that when there are large pressure drops across the throttle blade, the throttle flow rate calculation is accurate, but as the pressure drop approaches zero the accuracy is unacceptable. The "speed-density" calculation has just the opposite tendency. It is accurate under high "load" conditions but not very good when the manifold pressure is low (high vacuum). I am currently varying the feedback gains (in a smooth manner) to emphasize the throttle flow rate term under low load conditions and the speed-density term under high load conditions. Do you think that this could be an application where fuzzy logic could be applied? My very limited understanding of FL is that it is not "model based." Could anyone point me to a reference that uses a combination of model based nonlinear control combined with fuzzy control in one control law? Any suggestions would be greatly appreciated! -- Robert Weeks rweeks@u.washington.edu ------------------------------ From zhang@lab3.fuzzy.or.jp Wed, 12 Jan 1994 08:50:42 GMT Date: Wed, 12 Jan 1994 08:50:42 GMT From: zhang@lab3.fuzzy.or.jp (Weijing ZHANG) Subject: Re: [Info Needed] Fuzzy Spatial Reasoning After I posted for help on Fuzzy Spatial Reasoning, I got some mails asking for a summary. I am sorry to say that I have received very little info so far. (In fact, I got more mails asking for info than providing info). :-) Anyway I appriciate all the mails. I would like to exchange info with all the reseachers interested in Fuzzy Spatial Reasoning. Because I am quite busy, I cannot write anything in detail right now but I will send the references I have afterwards. Please keep in touch. Any info is appreciated and I hope I can provide a summary someday. Currently, I am working with Prof. Anca Ralescu in Image Understanding group in LIFE. Thanks. -- Weijing Zhang 88 :-) email: zhang@fuzzy.or.jp LIFE, Siber Hegner Bldg 4F 88888 phone: (81) 45-212-8240 89-1 Yamashita-cho, Naka-ku 888888 fax: (81) 45-212-8255 Yokohama 231, Japan 888888888 ------------------------------ From ziny@optima.com Wed, 12 Jan 1994 13:49:41 GMT Date: Wed, 12 Jan 94 13:49:41 GMT From: ziny@optima.com (Ziny Flikop) Subject: Re: Hybrid (Model based + FL) Control Robert, If you have a model and can measure input of the real system, tnen , it looks to me, you can develop via self-learning an open-loop control system based on decomposition of the input space on subspaces and defining for each subspace an optimal control. Number of subspaces received during decomposition will depend on desired accuracy of your control. That approach will work much faster than close-loop control system. It also looks to me, that you are investigating an area of instability in your system. As a first idea that comes to my mind: my be you can use weighted coefficients when you define your control. Probably, component of the input vector that is measured with low accuracy affect output not as much as component that can be measured accurately? In other words, weigth coefficients can be a function of accuracy. Other way to define weigth coefficients is sensitivity analysis of your system made under different input conditions. All this kind of analysis probably can be done on the model. I don't think that use of fuzzy logic in case of inaccurate measurements in the unstable area of control can improve your control system accuracy. I can send you, if you want, a paper on the self-learning open-loop control subject. ------------------------------ From glen@eecs.berkeley.edu Wed, 12 Jan 1994 15:11:28 -0800 Date: Wed, 12 Jan 1994 15:11:28 -0800 From: Glen Ozawa Subject: BISC Seminar 1/20/94 - Abstract ============================================================ CS 298-11 BISC Seminar on Soft Computing L. Kitainik Paragraph Corporation Sunnyvale, CA email: lkitainik@mcimail.com "The Handwriting Recognition System for the Newton" Thursday, January 20, 1994 4:00 p.m. - 5:00 p.m. 47 Evans Hall Main ideas and features underlying the On-Line handwriting recognition technology developed by ParaGraph International and currently implemented in the Apple's Newton will be outlined. This includes processing input words trace, soft association engine, vocabulary support, and other facilities. ============================================================ ------------------------------ From rweeks@u.washington.edu 12 Jan 1994 16:35:14 GMT Date: 12 Jan 1994 16:35:14 GMT From: rweeks@u.washington.edu (Robert Weeks) Subject: Re: Hybrid (Model based + FL) Control Ziny Flikop wrote: [some deleted] >It also looks to me, that you are investigating an area of instability in your >system. As a first idea that comes to my mind: my be you can use weighted >coefficients when you define your control. Probably, component of the >input vector that is measured with low accuracy affect output not as much as > component that can be measured accurately? In other words, weigth coefficients > can be a function of accuracy. I'm trying to do something like that now. Under low manifold pressure conditions (when the throttle flow rate calculation is accurate) I use a small feedback correction on the throttle flow term. As manifold pressure rises I increase (in a smooth manner) the gain on the throttle flow feedback term because the throttle flow rate calculation is less accurate under high manifold pressure conditions. The observer is similar to a "sliding mode" observer or Kalman filter. I just wondered whether fuzzy logic can easily be used to do something like this without having to throw out the embedded nonlinear model. From the little bit that I've read about FL it seems like you only use your model to simulate the performance of the fuzzy controller but there isn't any easy way of embedding the model within the FL controller itself. -- Robert Weeks rweeks@u.washington.edu ------------------------------ From shiizuka@sin.cc.kogakuin.ac.jp Thu, 13 Jan 1994 13:29:27 +0900 Date: Thu, 13 Jan 94 13:29:27 +0900 From: Hisao Shiizuka Subject: FUZZY ROBOT COMPETITION FUZZ-IEEE/IFES '95 CALL FOR FUZZY ROBOT COMPETITION March 20-24, 1995 YOKOHAMA, Japan Venue:Yokohama Prince Hotel Sponsor:FUZZ-IEEE/IFES '95 Fuzzy Robot Competition Organizing Committee Competition Organizing Committee Chair: Hisao Shiizuka (Kogakuin Univ.) Competition Organizing Commitee: Takanori Shibata (Mechanical Engineering Laboratory, MITI) Koji Takeda (Fuji Xerox) Jun Tani (Sony CSL) Toru Yamaguchi (Utsunomiya Univ.) "FUZZ-IEEE/IFES '95" is the joint international conference of the Second International Fuzzy Engineering Symposium and the Fourth IEEE International Conference on Fuzzy Systems. At this conference, a "Fuzzy Robot Competition" is planned in which participants compete using fuzzy technology and fuzzy information processing. Participants will not present the actual robot, rather they will compete by recording on video the robot they have constructed. This is a call for participants to take up this challenge. How to Apply for Competition Evaluations of Competition: The evaluations are based on two categories:"Motion" and "Intelligence" Requirments of Competition: (1) The contents of the video tape must be previously undisclosed (2) Relevant technologies are fuzzy or neural networks, chaos, and genetic algorithms, for such applications as flying robots, game robots, sumo-wrestling robots, empty -can-collecting robots, and apple-peeling robots. They can be mobile or fixed so long as they move autonomously through computer control. (3) Competition participants set and indicate their own conditions, and record the performance on video tape. At the same time, a paper must be written describing the hardware and the system architecture. However, an explanation of theory must not be included in the video tape, but written in the paper. What to Submit: Two video tapes (the master tape and one copy, 3-5 minutes, VHS) recording the performance of the fuzzy robot However, they must be of good recording quality. A paper written in English detailing the robot, of approximately 4 pages(A4 or letter-paper size) Publication of a Video Proceedings: Selected robots that have been accepted will be compiled into a video proceedings. Publication of Competition Papers: The papers which have been accepted will be published. Award: There will be a strict examination of the works that have been accepted, and certificates awarded to excellent robots. Supplementary prizes will be awarded as well (one million yen in total.) Transfer of Copyright: The copyright of the papers and video tapes accepted in this competition will be transferred to the IEEE FUZZ/IFES '95. Deadline of Submission: End of November 1994 Notice of Acceptance: End of January 1995 Papers and Videos should be submitted to: LIFE (Laboratory for International Fuzzy Engineering Research) Siber Hegner Bilding 4FL. 89-1 Yamashita-cho, Naka-ku, Yokohama 231, Japan attention: Satoko Miura, Secretary TEL: +81-45-212-8228 FAX: +81-45-212-8255 For furthr informaton, contact Prof. Hisao Shiizuka, Competiton Organizing Committee Chair, via E-mail:shiizuka@sin.cc.kogakuin.ac.jp ++++++++++++++++++++++++++++++++++++++++++++++++++ Rewritten by Nakatsuyama ++++++++++++++++++++++++++++++++++++++++++++++++++ Prof. Mikio Nakatsuyama Department of Electronic Engineering Yamagata University 4-3-16 Jonan, Yonezawa 992 Japan Tel: +81-238-22-5181 EXT 329 Fax: +81-238-24-2752 E-mail: nakatsu@ea5.yz.yamagata-u.ac.jp ------------------------------ From nkhan@lcc1.nsc.com Wed, 12 Jan 1994 20:15:46 GMT Date: Wed, 12 Jan 1994 20:15:46 GMT From: nkhan@lcc1.nsc.com (Naveed Khan) Subject: Neural-Fuzzy Tool (NeuFuz) NeuFuz Tool Set from National Semiconductor. Industry's first Neural Network based Fuzzy Logic Development tool set is available from National Semiconductor since march 1993. A number of customers have announced their products based on NeuFuz technology and products. The prominent being a cooker/fryer from Tefal, a French company known for domestic appliances. NeuFuz technology developed by National Semiconductor is unique in the sense that it uses Neural Networks to generate Fuzzy Rules and memebership functions, thus eliminating the time consuming task of writing the rules and defining the shape of membership functions. The user has to provide a system input/output data to the Neural Network and set the learning and accuracy parameters. A Modified multilayered feed forward Back Propogation network will learn that Input/output relationship and transform the knowledge to defuzzified rule set and set of membership functions. The tool set will allow you to verify the Neural Net output and compare it to fuzzy output. It will also allow you to optimize the rules and eliminate those rules which contribute insignificantly to the solution. At the end the user has an accurate and optimized set of rules and membership functions. These rules and membership functions are then coded to a processor specific assembly language or to a standard ANSI C language. NeuFuz4 Product: -It will handle 4 input and 1 output -Generate Fuzzy Rules and membership functions -User can assign up to 7 membership function for each input -Fuzzy Rule Verification will give user a good account of the accuracy of the solution. -The accuracy and learning of the Neural Network is pre-specified by the user. -User can obtain multiple solutions by changing the Learning Rate and Learning Factor of the Neural Network, thus avoiding a local minima solution. -It will generate Direct COP8-Family Assembly code -It will Provide a profile of the Code as to number of bytes of ROM and RAM space used. A quick way to learn about the tool set. 1. Contact National Semiconductor Customer Response Center at 800-272-9959 and request literature and a demo diskette 2. For $199 you can acquire a learning kit. A learning Kit includes 2 input 1 output software, limited to 3 membership functions and 50 data points. It also comes with a COP8 family Assembler/linker/ librarian. Order Entry code is NF2-C8A-Kit It can be ordered from any National Sales office or from NSC distributor in your region. You can obtain information about NSC sales office or distributor by calling NSC Customer Response Center at 800-272-9959. Neural Network and Fuzzy Logic Training: National also offers a comprehensive three day or 5 day training on Fuzzy Logic and Neural Networks. This training can be customized to user needs based on their knowledge and expertise. If your company is interested in this training please contact me directly at (408)-721-7265 or write to me at Naveed Khan National Semiconductor Intelligent Systems Group 2900 Semiconductor Drive P.O. Box 58090, M/S E-255 Santa Clara, CA 95052-8090 Fax: (408)732-6017 ------------------------------ From SAUPERL@vkma.tu-graz.ac.at Thu, 13 Jan 1994 11:17:24 MEZ-1 Date: Thu, 13 Jan 1994 11:17:24 MEZ-1 From: "Igor Sauperl" Subject: FL Shell - Pascal source code generator Hi, Does anyone know a PC based fuzzy logic developement system that generates Pascal (Turbo Pascal) source code and if there is a demo available. Thanks! Igor Sauperl sauperl@vkma.tu-graz.ac.at ------------------------------ From: fuzzy-owner@vexpert.dbai.tuwien.ac.at Subject: [Frequently Asked Questions] Fuzzy-Mail The latest version of the frequently asked questions list (including answers) for comp.ai.fuzzy can be retrieved by sending the command GET LISTSERVER FUZZY.FAQ to listserver@vexpert.dbai.tuwien.ac.at in the body of an otherwise empty mail. This message is automatically distributed whenever the frequently asked questions list is updated, which is normally every 13th of the month. Let us remind you of how to get more information concerning the use of the fuzzy-mail list: just send the command GET FUZZY-MAIL INFO to listserver@vexpert.dbai.tuwien.ac.at in the body of an otherwise empty mail. For further questions, please get in contact with Marcus Herzog or Wolfgang Slany Christian Doppler Labor fuer Expertensysteme Institut fuer Informationssysteme (Nr. 184/2) Technische Universitaet Wien Paniglg. 16, A-1040 Vienna, Austria (Europe) Tel: +43-1-58801-6123 Fax: +43-1-5055304 E-mail: fuzzy-owner@vexpert.dbai.tuwien.ac.at ------------------------------ From slc@JUPITER.RISC.ROCKWELL.COM Thu, 13 Jan 1994 15:23:13 PST Date: Thu, 13 Jan 1994 15:23:13 PST From: Steve Chiu Subject: Call for Paper, IEEE Symp. on Intelligent Control 9th IEEE International Symposium on Intelligent Control August 16-18, 1994 Holiday Inn, Crowne Plaza Columbus, Ohio, USA Sponsored by the IEEE Control Systems Society General Chair: Umit Ozguner, The Ohio State University Program Chairs: Michael B. Leahy, Jr., U.S. Air Force and Levent Acar, University of Missouri, Rolla The ever increasing technological demands of today call for very complex systems, which in turn require highly sophisticated controllers to ensure that high performance can be achieved and maintained under adverse conditions. There are needs in the control of these complex systems which cannot be met by conventional approaches to control. For instance, there is a significant interest in enhancing current avionic systems so that they can reconfigure the aircraft controls to maintain adequate levels of performance even if there are complete failures in one or more of the actuators or sensors. In a similar manner, there is a significant need to achieve higher degrees of autonomous operation for robotic systems, spacecraft, manufacturing systems, automotive systems, underwater and land vehicles, and others. To achieve such highly autonomous behavior for complex systems one can enhance today's control methods using intelligent control systems and techniques. The area of Intelligent Control is a fusion of a number of research areas in Systems and Control, Computer Science, and Operations Research among others, coming together, merging and expanding in new directions and opening new horizons to address the problems of this challenging and promising area. Intelligent control systems are typically able to perform one or more of the following functions to achieve autonomous behavior: planning actions of different levels of detail, emulation of human expert behavior, learning from past experiences, integrating sensor information, identifying changes that threaten the system behavior, such as failures, and reacting appropriately. This identifies the areas of Planning and Expert Systems, Fuzzy Systems, Neural Networks, Machine Learning, Multi-sensor Integration, Failure Diagnosis, and Reconfigurable Control, to mention but a few, as existing research areas that are related and important to Intelligent Control. While these techniques provide several key approaches to Intelligent Control, for complex systems they are often interconnected to operate within an architecture which is hierarchical and often distributed. It is for this reason that the areas of hierarchical intelligent control, distributed intelligent control, and architectures for intelligent systems are of significant importance in the design and construction of the overall intelligent controller for complex dynamical systems. Finally, it is of fundamental importance to recognize that (i) intelligent controllers are nonlinear (possibly hierarchical and distributed) controllers that are constructed in nonconventional ways, and (ii) intelligent controllers are often designed to operate in "critical environments" where, for example, the safety of a crew (e.g., in an aircraft/spacecraft), or environmental issues are of concern (e.g., from nuclear power plants or process control). Hence, it is both possible, and of significant importance to introduce mathematical modeling and analysis techniques to be used in the verification and certification of the behavior of intelligent control systems. Papers are being solicited for presentation at the Symposium and for publication in the Symposium Proceedings. Topics of interest include, but are not limited to: * Architectures for intelligent control * Knowledge-based and expert systems * Applications / Implementations * Hierarchical intelligent control * Planning systems * Distributed intelligent systems * Fuzzy systems / fuzzy control * Manufacturing systems * Robotics * Modeling intelligent systems * Machine learning / adaptive systems * Automotive systems / IVHS * Mathematical analysis of intelligent systems * Neural networks / neural control * Aircraft / spacecraft * Discrete event systems * Reconfigurable control * Underwater / land vehicles * Hybrid systems * Multisensor fusion / integration * Process control * Design techniques for intelligent controllers * Failure detection and identification * Consumer products Submissions: Papers: Five copies of the paper (including an abstract) should be sent by March 1, 1994 to: Major Michael B. Leahy, Jr. Prof. Levent Acar SA-ALC/TIEST, Bldg. 183 or Robot Systems Division 450 Quentin Roosevelt Rd. Building 220, Room B124 Kelly AFB, TX 78241-6416 NIST Phone: (210) 925-3711 Gaithersburg, MD 20899 Fax: (210) 925-4916 Email: mleahy@sadis05.kelly.af.mil acar@cme.nist.gov Clearly indicate who will serve as the corresponding author and include a telephone number, fax number, email address, and full mailing address. Authors will be notified of acceptance by May 6, 1994. Accepted papers, in final camera ready form (maximum of 6 pages in the proceedings), will be due June 10, 1994. Invited Sessions: Proposals for invited sessions are being solicited and are due March 1, 1994. The session organizers should contact one of the Program Chairs by February 18, 1994 to discuss their ideas and obtain information on the required invited session proposal format. Workshops and Tutorials: Proposals for workshops and tutorials should be submitted by March 15, 1994 to: Umit Ozguner, ISIC'94 Dept. Electrical Engineering The Ohio State University 412 Drees Laboratory 2015 Neil Ave. Columbus, OH 43210-1272, USA Phone: (614) 292-5940 email: umit@ee.eng.ohio-state.edu Please contact Umit Ozguner by March 1, 1994 to discuss the content and required format for the workshop or tutorial proposal. ------------------------------ From nkhan@lcc1.nsc.com Fri, 14 Jan 1994 22:09:52 GMT Date: Fri, 14 Jan 1994 22:09:52 GMT From: nkhan@lcc1.nsc.com (Naveed Khan) Subject: Industry Uses of Fuzzy Logic There are many products based on Fuzzy Logic in the market today. Most of the consumer products in SEA/Japan advertise Fuzzy Logic based products for consumers. We are beginning to see many automotive applications based on Fuzzy logic. Here are few examples I have seen in the market. By no means this list includes all possible fuzzy logic based products in the market. 1. Washing Machine AEG, Sharp, Goldstar 2. Rice Cooker Goldstar 3. Cooker/Fryer Tefal 4. Microwave Oven Sharp 5. Electric Shaver Sharp 6. Refrigerator Whirlpool 7. Battery Charger Bosch 8. Vacuum Cleaner Philips, Siemens 9. Camcorders Canon, Sanyo, JVC 10 Transmission Control GM(Saturn), Honda, Mazda 11. Climate Control Ford 12. Temp control NASA in space shuttle 13. Credit Card General Electric Corporation Regards, Naveed ------------------------------ From msanchez@mtecv2.mty.itesm.mx 14 Jan 1994 22:33:29 GMT Date: 14 Jan 1994 22:33:29 GMT From: msanchez@mtecv2.mty.itesm.mx (Jose M Sanchez) Subject: CFP JIM Special issue ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + JOURNAL OF INTELLIGENT MANUFACTURING + + CALL FOR PAPERS + ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Journal of Intelligent Manufacturing Editor-in-chief Prof. Andrew Kusiak Department of Industrial Engineering 4132 Engineering Building, University of Iowa Iowa City, IA 52242 USA Call for Papers Special Issue on: AI Based Models for Design for Manufacturing and Concurrent Engineering. The Journal of Intelligent Manufacturing (JIM) publishes quality refereed papers on applications of artificial intelligence in manufacturing. The JIM will publish a special issue on AI Based Models for Design for Manufacturing and Concurrent Engineering. The published papers will be focused on the development of new AI based models and design techniques that enhance the understanding on design for manufacturing and shorten the product development cycle. The topics for this special issue will include (but will not be limited to): - Feature-based Design - Design for Life Cycle Issues - Integrated product development - Multidisciplinary Design Optimization - Manufacturability Analysis and Assessment - Value Engineering - Concurrent Product Development - Intelligent Design Decision Support Systems Research papers, surveys, and application manuscripts covering both the practical and theoretical aspects of the above areas will be considered for publication. Authors are encouraged to submit four copies of the paper to the guest editor by April 15, 1994. Guest Editor Dr. Jose M. Sanchez Centro de Inteligencia Artificial Instituto Tecnologico y de Estudios Superiores de Monterrey Sucursal de Correos ,J, Monterrey, NL 64849 Mexico Tel.: (011-5283) 28-4197 Fax.: (011-5283) 28-4189 E-mail: msanchez@mtecv2.mty.itesm.mx Please feel free to circulate this flyer to colleagues or any other persons who might be interested in this special issue. ---------------------------------------------------------- Jose M. Sanchez, Ph.D Professor Artificial Intelligence Ctr msanchez@mtecv2.mty.itesm.mx Monterrey, NL 64789 Voice: (528) 358-2000 ext 5134 ---------------------------------------------------------- ---------------------------------------------------------- Jose M. Sanchez, Ph.D Professor Artificial Intelligence Ctr msanchez@mtecv2.mty.itesm.mx Monterrey, NL 64789 Voice: (528) 358-2000 ext 5134 ---------------------------------------------------------- ---------------------------------------------------------- Jose M. Sanchez, Ph.D Professor Artificial Intelligence Ctr msanchez@mtecv2.mty.itesm.mx Monterrey, NL 64789 Voice: (528) 358-2000 ext 5134 ---------------------------------------------------------- ------------------------------ From fuller@cs.unitn.it Mon, 17 Jan 1994 10:58:54 +0100 Date: Mon, 17 Jan 94 10:58:54 +0100 From: fuller@cs.unitn.it (Robert Fuller (MF)) Subject: Call for Papers: CIFT'94 Call for Papers 4th International Workshop CIFT'94 Current Issues in Fuzzy Technologies June 1-3 1994, Trento, Italy This is the 4th international workshop on Current Issues in Fuzzy Technologies. Because of the growing interest in this topic and the diversity of approaches, the workshop program will be tightly structured and will focus on a specific subject, all the while maintaining the original aim to foster a constructive dialogue between academia and industry. The strong interest in the use of fuzzy technology for decision making purposes has suggested that this year's choice should be in the field of Decision Models & Systems, with particular emphasis on Theory, Design and Applications. Topics of Interest * Group decisions * Aggregation Methods * Preference relations * Multicriteria decision making * Decision support systems * Approximate reasoning methods * Application s in control systems * Measures of information & uncertainty * Data bases & information retrieval Organizing Committee Mario Fedrizzi (chair) Erich P. Klement Aldo Ventre Alessandro Zorat Scientific Committee Piero Bonissone Miguel Delgado Patrik Eklund Michele Fedrizzi Robert Fuller Janusz Kacprzyk Laszlo Koczy Margit Kovacs Vilem Novak Walenty Ostasiewicz Rinaldo Poluzzi Marc Roubens Jose-Luis Verdegay Ronald R. Yager Deadline for submission of papers: February 28, 1994. Please send 3 copies of extended abstracts (3-5 pages +references) to Dr. R.A. Marques Pereira Dipartimento di Informatica e Studi Aziendali Universita di Trento Via Inama 5, 38100 Trento, Italy Notification of acceptance: March 15, 1994 Final version in camera-ready format: April 30, 1994 All accepted papers will be published in the workshop proceedings. For more information, please send an e-mail message to cift94@cs.unitn.it. ------------------------------ From wattel@eb.ele.tue.nl Mon, 17 Jan 1994 11:55:42 MET Date: Mon, 17 Jan 94 11:55:42 MET From: wattel@eb.ele.tue.nl (Bart Jan Wattel) Subject: Re: uses of fuzzy logic Hi all, I've included a (preliminary :-)) paragraph of my graduation report which covers the application of fuzzy logic. I have read the other replies to the question 'Uses of fuzzy logic', but I did not find any historical data. Maybe anyone knows more historical events ? Bartjan Wattel Eindhoven University of Technology, the Netherlands, Departement of Electrical Engineering, Email: wattel@eb.ele.tue.nl Digital Systems group -------------------------------------------------------------------------------- ¥subsection{The application of fuzzy logic} The first major event in the history of fuzzy theory was the founding of the Japan Fuzzy Systems Research Foundation in 1972, later becoming the Japan Office of the International Fuzzy Systems Association (IFSA). The first application of fuzzy logic is due to Dr. Mamdani of the University of London, U.K., who in 1974 designed an experimental fuzzy control for a steam engine. In 1980, a Danish company (F.L. Smidth ¥& Co. A/S) used fuzzy theory in cement kiln control. Three years later, Fuji Electric Co., Ltd. (Japan) implemented fuzzy control of chemical injection for water purification plants. The International Fuzzy Systems Association (IFSA) was founded in 1984, and held its first conference in 1985. Two years later, during the second IFSA International Conference, a fuzzy controller was exhibited. This controller originated from Omron Corp., a Japanese company which began research in fuzzy logic in 1984 and has since applied for over 700 patents. Also in 1987, a subway system which is controlled by fuzzy logic started operating in Sendai, Japan. The fuzzy logic in this subway system makes the journey more comfortable with smooth braking and acceleration. In 1989, Omron Corp. demonstrated fuzzy workstations at the Business Show in Harumi, Japan. Such a workstation is just a RISC--based computer, equipped with a fuzzy inference board. This fuzzy inference board is used to store and retrieve fuzzy information, and to make fuzzy inferences. The application of fuzzy theory in consumer products started in 1990 in Japan. An example is the ``fuzzy washing machine'', which automatically judges the material, the volume and the dirtiness of the laundry and chooses the optimum washing program and water flow. Another example is the fuzzy logic found in the electronic fuel injection controls and automatic cruise control systems of cars, making complex controls more efficient and easier to use. Fuzzy logic is also being used in vacuum cleaners, camcorders, television sets etc. In 1993 (?), Sony introduced the Sony PalmTop, which uses a fuzzy logic decision tree algorithm to perform handwritten (using a computer lightpen) Kanji character recognition. For instance, if one would write {¥em 250}, then the Sony Palmtop can distinguish the number {¥em 5} from the letter {¥em S}. Areas in which the theory of fuzzy logic and fuzzy reasoning can succesfully be applied include fund management systems, robots, sorting machines, helicopter control, nuclear power plants, pattern recognition, operation research, document retrieval systems and (medical) expert systems. ------------------------------ From pidgeon@a1.relay.upenn.edu Mon, 17 Jan 1994 09:30:01 -0500 Date: Mon, 17 Jan 1994 09:30:01 -0500 From: Sean Pidgeon Subject: Handbook of Fuzzy Computation ------- Forwarded message Posted: Mon, 17 Jan 94 00:00:01 -0500 Date: Mon, 17 Jan 94 09:30:01 -0500 Author: Dear Readers: I am in charge of reference work development for Institute of Physics Publishing, based in our Philadelphia office. Together with the reference division of Oxford University Press, we are planning to publish a major work of reference entitled Handbook of Fuzzy Computation. Our intention is that this Handbook should form a companion volume to the Handbook of Neural Computation and the Handbook of Evolutionary Computation, both of which are currently at an advanced stage of development by IOP and OUP. I have attached a copy of a highly preliminary contents list for the Handbook. Clearly, this requires a great deal more work, but we hope that it will give a flavour of what we have in mind. We would value your advice and possible assistance in this endeavour. I would th erefore be most grateful if you could take a few moments to read thorugh the outline and respond to the questions in the attached questionnaire. Many thanks for your help. Yours sincerely Sean Pidgeon Publisher IOP Publishing The Public Ledger Building Suite 1035 Independence Square Philadelphia PA 19106 Phone: 215 627 0880 Fax: 215 627 0879 Email: pidgeon@a1.relay.upenn.edu HANDBOOK OF FUZZY COMPUTATION Many scientists and engineers now use fuzzy logic to tackle problems that are either intractable, or unrealistically time consuming to solve, through traditional computational strategies. To address the need for speedy dissemination of new ideas in this field to a broad spectrum of fuzzy computation users, designers and implementers, Oxford University Press and Institute of Physics Publishing have joined forces to create a major reference publication devoted to fuzzy computational fundamentals, models, algorithms and applications. This work is intended to become the standard reference resource for the fuzzy computation community. The Handbook of Fuzzy Computation will be produced in parallel in two updatable formats, loose-leaf paper and CD-ROM, and will be kept up to date by means of supplements published on a regular basis. Details of new algorithms and applications may be submitted to the Handbook editors for peer review and possible inclusion in a future supplement to the Handbook. In this way we will create a moving compendium of the state of the art of fuzzy computation. Key features of the Handbook of Fuzzy Computation: A hands on guide to the design and implementation of practical fuzzy systems A comprehensive source for all fuzzy logic users, designers and implementers Provides an information pathway between scientists and engineers in different disciplines who apply fuzzy logic to generically similar problems Provides timely information in a rapidly changing field Possible contents: Foreword [by a Fuzzy Computation Giant] Preface [discusses aim of the Handbook] Acknowledgements Table of Contents List of Symbols Glossary PART I: INTRODUCTION 1 User's Guide 1.1 Introduction 1.2 How to use this handbook 1.3 Notations and Nomenclature 2 Background 2.1 Introduction 2.2 Principles of Fuzzy Logic 2.3 History of Fuzzy Logic PART II: FUNDAMENTAL CONCEPTS OF FUZZY LOGIC 3 Why Fuzzy Logic? 3.1 Introduction 3.2 Fuzzy versus Probabilistic Reasoning (i.e. Bayesian Reasoning) 3.3 ... 4 Fundamentals of the Theory of Vagueness 4.1 Introduction 4.2 Partial Membership in Sets 4.3 ... 5 Fundamentals of Fuzzy Set Theory 5.1 Introduction 5.2 The Concept of Possibility Distribution 5.3 ... 6 Fundamentals of Fuzzy Programming 6.1 Introduction 6.2 ... 7 ... PART III: FUZZY COMPUTATION MODELS AND ALGORITHMS 8 The "Fuzzy" Kalman Filter 9 Fuzzy Neural Networks 10 ... 11 ... 12 ... PART IV: APPLICATIONS OF FUZZY COMPUTATION 13 Application Domains for Fuzzy Logic 13.1 Introduction 13.2 Expert Systems 13.3 Pattern & Speech Recognition 13.4 Control 13.5 ... 14 Fuzzy Computation in Practice ['case study' approach] 14.1 Introduction 14.2 Aerospace 14.3 Robotics 14.4 Consumer Goods 14.5 Economics & Finance 14.6 Medicine & Biology 14.7 Mass Transit (e.g. Japan's light rail system) 14.8 ... 15 Fuzzy Logic Hardware Implementations 15.1 Introduction 15.2 Fuzzy Logic Adaptations to Hardware 15.2.1 ... 15.3 Electronic Implementations 15.3.1 ... 15.4 Other Implementations PART V: APPENDICES A1 Mathematical Proofs [including classical set theory?] A2 Bibliography of Fuzzy Computation Applications [inventory of real applications] A2.1 Introduction A2.2 Expert Systems A2.3 Pattern & Speech Recognition A2.4 Control A2.5 ... A3 Fuzzy Computation Software [references to evaluations of existing FC software] A4 Fuzzy Computation Services and Suppliers References Bibliography Index HANDBOOK OF FUZZY COMPUTATION Readership survey 1 Do you feel that there is a need for a publication of this type? 2 How useful to you, personally, is it likely to be? 3 Would you wish to purchase a personal copy of the Handbook? 4 Would you encourage your library to obtain a copy? 5 Are you aware of any related (and possibly overlapping) publications? If so, please list them below, together with any comments you may have on their general usefulness or on the extent of the overlap. 6 Do you have any suggestions for improvement or expansion of the attached draft aims and scope? 7 Would you, in principle, be interested in participating in this project, either as a coordinating editor or as a contributing author? 8 Do you feel that the proposed loose-leaf format (new or improved information added to a ringbound book) is appropriate? 9 Would you find it useful to have the Handbook available in an electronic format (e.g.CD-ROM)? 10 What is your main area of interest? 11 Would you be kind enough to include the names and addresses (e-mail addresses if possible) of colleagues who might find this proposal of interest? 12 Any other comments/suggestions? 13 What is your name and address? Please give phone, fax and e- mail if possible. Please return to: Sean Pidgeon Publisher IOP Publishing Inc The Public Ledger Building, Suite 1035 Independence Square Philadelphia, PA 19106 USA Tel: (215) 627 0880 Fax: (215) 627 0879 Email: pidgeon@a1.relay.upenn.edu ------- End of Forwarded message ------------------------------ From btaylor@slate.mines.colorado.edu Tue, 18 Jan 1994 00:07:41 GMT Date: Tue, 18 Jan 1994 00:07:41 GMT From: btaylor@slate.mines.colorado.edu (Taylor) Subject: Fuzzy Logic Texts ?? Can anyone recommend a good comprehensive and current text on Fuzzy Logic? I need one that covers the very basics as well as the advanced stuff. In addition, I would like it to cover uncertainty management using fuzzy logic. Thanks in advance. Brent Taylor btaylor@mines.colorado.edu ------------------------------ From qmdbms@gsusgi2.gsu.edu Sun, 16 Jan 1994 07:34:43 GMT Date: Sun, 16 Jan 1994 07:34:43 GMT From: qmdbms@gsusgi2.gsu.edu (Brian Schott) Subject: Re: Inverted Pendulum Alexander Williams <95akw@williams.edu> writes: >I am a college student doing research on fuzzy mathematics. >Unfortunately, we have a paucity of reference material on fuzzy systems >at my school. Can anyone post or send me some information on applying a >fuzzy control to the inverted pendulum system? Thanks. >Alexander Williams >Williams College >95akw@williams.edu Alexander, there is a great deal of material about fuzzy logic control. The FAQ for this newsgroup contains several recommendations. In addition you may find the material contained herein provides a starting place for experimentation. Attached is a demo of a simple inverted pendulum system simulation and a fuzzy controller. The system is implemented in a programming language named J. J is a recent derivative of the programming language APL. J is a public domain programming language which is available in executable form for almost every popular computer. This message has three parts to it: a sample run, a description of j, and the j code for the simulation. First is a screen shot of a run showing a 20-period simulation based on an inverted pendulum system for which the radian angles for the pole is scaled in units of 0.01 rad, the angular velocity is scaled in 0.05 rad/sec, and the push force dimension is scaled in units of 10 newtons. The system was designed to tune the system by controlling the scales of the three dimensions. The three dimensions are sampled at 17 values of each continuous variable from -8 to +8. The increment of time for the frictionless system is set at 0.02 seconds. The inverted pendulum is initialized in an unstable position with angle 0.05 rad, but with 0.0 angular velocity and a stationary carrying cart. The pendulum system is parameterized below in 'define' and 'setup'. The simulation aborts early if the pole angle exceeds 0.2094 rad (in absolute value). The screen shot assumes that the j code for the simulation is saved in the file named 'pendulum'. Next is a copy of a copyrighted description of the programming language J. It is written by Professor Lee J. Dickey who maintains an ftp site for J and APL at University of Waterloo. Finally, the j code for this simulation is provided. I am sorry that I have not documented it adequately. A few of the lines of code are longer than a typical screen line. Be careful not to truncate these long lines or to break them into two lines. I hope you find this material useful. I would very much like to develop this material further. Please share with me your ideas and comments. Brian Schott/Decision Sciences Dept. qmdbms@gsusgi2.gsu.edu College of Business Administration 404-651-4070 Georgia State University interests: approx. reasoning, Atlanta, Georgia USA 30303-3083 (B=) decision support systems SCREEN SHOT _________________________________________________________________________ 0!:2 <'pendulum' start 20 poleBV: 0 poleBV: 0.01 velocBV: 0 velocBV: 0.05 pushBV: 0 pushBV: 10 iter push cart angle total push 1 42.500000 0.000000 0.050000 42.500000 2 0.000000 0.016568 0.025473 42.500000 3_65.000000 0.033123 0.001259 107.500000 4 70.000000 0.024307 0.015239 177.500000 5_67.142857 0.042808 _0.011748 244.642857 6 68.888889 0.035103 0.000658 313.531746 7_70.000000 0.054285 _0.027332 383.531746 8 65.000000 0.046149 _0.014343 448.531746 9_68.888889 0.063386 _0.039558 517.420635 10 0.000000 0.053743 _0.024542 517.420635 11 67.142857 0.044111 _0.009775 584.563492 12_68.888889 0.060686 _0.034453 653.452381 13 65.000000 0.050381 _0.018868 718.452381 14_67.142857 0.065450 _0.041523 785.595238 15 0.000000 0.054321 _0.025002 785.595238 16 65.000000 0.043204 _0.008741 850.595238 17_68.888889 0.057459 _0.030673 919.484127 18 65.000000 0.044832 _0.012337 984.484127 19_68.888889 0.057578 _0.032221 1053.373016 20 65.000000 0.043444 _0.011861 1118.373016 0!:55 '' NB. this line exits j ___________________________________________________________________ End of SCREEN SHOT What is J? ___________________________________________________________________ What is J? An introduction by Leroy J. Dickey University of Waterloo This article is intended to be an introduction to the language J and some of its features. J is a high powered general purpose programming language. This dialect of APL uses the ASCII character set, has boxed arrays, complex numbers, the rank operator, and some novel compositions of functions. Like APL, J is an array language. Any time one wants to do calculations with more than one number at a time, or with more than one name in a list, a collective (an array) is the right structure to use, and J is designed to do such calculations easily. Those who write programs for themselves and who want their answers quickly will be happy with the swift and concise way programs can be written in J. This article consists of several examples that illustrate some of the power of the language J. Each example presents input and output from an interactive J session, and a few lines of explanation have been added. Lines that are indented with four spaces are those that were typed in to the J interpreter, and the lines that are indented with only one space are the responses from J. Other text lines are comments that have been added later. The topics that have been chosen for inclusion do not come close to telling everything about J, but some of them represent subjects that at one time or another the author found new and exciting. J is a general purpose computing language, and is well suited to a broad spectrum of programming needs. Because the interests of the author are in mathematics, examples are primarily mathematical in nature. In this discussion about J, the words noun and verb are used to stand for data and function, respectively. Thus 'neon' is a noun, 1 2 3 4 is a noun, and + is a verb. One may assign data to a name, as in the statement alpha5=.'neon' , and a name (such as alpha5) used to refer to the data is said to be a pronoun. Similarly, one may associate a name with a verb, and such a name is said to be a proverb, (pronounced "pro-verb", not "prah-verb"). In the assignment plus =. + the name plus is a proverb used to refer to the verb +. There are also language elements called conjunctions, which join two verbs or proverbs, and there are elements called adverbs, which modify the meaning of one verb or proverb. Example 1: Calculating e This example shows how calculations are done with a list of numbers and how J uses a functional notation. That is, each verb (function) acts on the noun or pronoun (data) to its right. It is easy to create a collective (array). Here, for instance, are 9 integers: i. 9 0 1 2 3 4 5 6 7 8 a =. i. 9 a 0 1 2 3 4 5 6 7 8 The factorials of these numbers are: ! a 1 1 2 6 24 120 720 5040 40320 The reciprocals of the above: % ! a 1 1 0.5 0.166667 0.0416667 0.00833333 0.00138889 0.000198413 2.48016e_5 And the sum of reciprocals of the factorials of a is: +/ % ! a 2.71828 Those who know some mathematics may recognize an approximation to the number e, the base for the natural logarithms. Of course, J has other ways to calculate this number; the point here is the use of the natural left-to-right execution of the meaning of the sequence symbols +/ % ! a as "the sum of the reciprocals of the factorials of a". Those who have done some programming in almost any other language, will see that the expression +/%!i.9 is a remarkably short one for a function that produces the sum of the first few terms of the series that approximates e. Moreover, it is possible to pronounce this program in English in a way that precisely conveys its meaning, and those who know the meaning of the words in the sentence will be able to understand it. And anybody who knows the mathematics and who has learned this much J will recognize that the program does exactly what the English words say and that it will produce an approximation to e. The author finds this expression in J much easier to think about and understand than the corresponding program intended to compute the same number in certain older languages. Here, for example, is what one might write in Fortran, to accomplish the same result: REAL SUM, FACT SUM = 1.0 FACT = 1.0 DO 10 N = 1, 8 FACT = FACT * N SUM = SUM + 1.0 / FACT 10 CONTINUE PRINT, SUM STOP END Compare this Fortran program with the J program that uses only a few key strokes: +/ % ! i. 9 . Not only is the J program shorter, but if you agree with the author that the program more closely approximates the English description, then you will probably agree that the J expression is easier to understand, even for someone who may have been using an older language, and who has only just learned the meaning of the symbols used in this example. The use of this compact notation brings about much shorter programs. It is the author's experience that for some applications, the ratio of the number of lines of Fortran or C code to the number of lines of J code has been about 20 to 1. Example 2: Average In this example, two verbs (functions) are defined. As before, lines indented with four spaces were given as input during a J session, and the ones immediately after, with one leading space, were produced by the J interpreter. Sum =. +/ Average =. Sum % # c =. 1 2 3 4 Average c 2.5 The first two lines create proverbs, the third creates a pronoun, and the fourth invokes the proverb (function) Average with the pronoun (data) c. The meaning of Average c is this: (+/ % #) 1 2 3 4 and this may be thought of as: find Sum c, ( +/ c means add up the entries in c), find # c (tally c), and then find the quotient of those two results. The sequence of three functions used in the definition of Average provides an example of a fork. A fork is a sequence of three functions (f h g), where x (f g h) y means (x f y) g (x h y) . This diagram may help you to understand the meaning: g / ¥ f h / ¥ / ¥ | | | | x y x y and the figure might suggest to you why the name fork is used. In a similar way, used with one argument, (f g h) y means ( f y) g ( h y). Thus, looking again at Average c, we can see that this has the same meaning as (Sum c) % (tally c). If the above definition of fork strikes the reader as awkward, the reader is invited to consider a thought experiment about the meaning of the English phrase "a less than or equal to b". Imagine that there is a function LT which returns the value 1 when a. ... i also believe that the rank operator is a wonderful invention, up there in the top ten computer inventions of all time. Conclusion: In this article, only a few of the many verbs in J have been used, but the reader has had a glimpse some of the power of J, as seen in hooks and forks, in the implicit definition of verbs, and in the uniform way that J acts on sub-arrays by means of the rank operator. J is powerful because one can get results quickly. It is a carefully thought out and beautifully consistent programming language for people who need to write programs for themselves, but who don't want to spend inordinately large amounts of time programming to get those results. If you have to write programs for others, this could still be a language for you, especially if you get paid by the job, and not by time. Availability: J is available by anonymous ftp from watserv1.waterloo.edu in the directory "‾/languages/apl/j" and is available from certain other servers. At the Waterloo site, versions of J are available that run on several kinds of computers. J is a product of Iverson Software Inc., 33 Major Street, Toronto, Ontario, Canada M5S 2K9. (416) 925 6096, and when purchased from them, comes with a dictionary of J and other aids for learning J. Learning J: Because J is a relatively new language, there are not yet many books or articles about it. At the Waterloo site, there is a tutorial that has much material concentrated into a small space. With each release of J to date, there has been a status file that tells which features have been implemented. Several status files are available. The reader who chooses to learn J from these materials might like to print the 47 tutorial files and study them one at a time, and to have at hand a copy of a status file listing the names of the verbs. For each example given in the tutorial, the reader might wish to experiment with J by inventing nouns, verbs, adverbs, and conjunctions to test ideas related to those presented in the tutorial and thereby to let J itself be the guide and the interpreter (pun intended). The author of J: The inventor-developer of J is Kenneth E. Iverson, the same man who invented APL, a pioneer of computing, and recipient of the prestigious ACM Turing Award. Some years ago, he retired from IBM and went to work for I.P.Sharp Associates, a Toronto company that developed the world's first private packet switching network, the finest APL available, and was at one time the world's largest time sharing service which just happened to be devoted entirely to APL. The descendent of this company, Reuter:file, still has offices in many of the world's major cities. Now Iverson is retired (again) and lives in Toronto, where he spends his time developing and promoting J. The implementor for J is Roger Hui. Roger hails from Edmonton, and has lived in Toronto since he joined I.P.Sharp Associates in 1975. The source code for J, written in C, is worthy of some comment, because it makes extensive use of macro expansion. Its style, influenced by the work of Arthur Whitney of Morgan Stanley in New York, reflects Roger's strong background in APL. Today, Roger spends much of his time developing J and does occasional contract work in APL. Copyright (c) 1991,1992 by Leroy J. Dickey Permission is granted to use this for nonprofit and educational purposes. It may be given away, but it may not be sold. Revised 1992-03-21. ___________________________________________________________________ End of What is J? Beginning of Inverted Pendulum Simulation ___________________________________________________________________ logic =. 'mamdani' Implies =. '' : ' x. <./ y.' and =. '' : ' x. <./ y. ' fuse =. >./ ante =. 4 cons =. 4 nante =. 17 ncons =. 17 NB. the next section defines the triangular membership functions of =. @ half =. -: mdn =. half of >: of ] ramp =. i. of >: % ] n =. nante tri =. (- of <: of ((mdn n)&+) of [{.(}: of ramp of ])), ((mdn n)&- of [{.( |. of ramp of ])) hfWdth =. <: of mdn nbig =. - of hfWdth n neg =. - of half of hfWdth n zero =. 0 pos =. half of hfWdth n pbig =. hfWdth n antenbig =. nbig tri ante anteneg =. neg tri ante antezero =. zero tri ante antepos =. pos tri ante antepbig =. pbig tri ante n =. ncons hfWdth =. <: of mdn tri =. (- of <: of ((mdn n)&+) of [{.(}: of ramp of ])), ((mdn n)&- of [{.( |. of ramp of ])) nbig =. - of hfWdth n neg =. - of half of hfWdth n zero =. 0 pos =. half of hfWdth n pbig =. hfWdth n consnbig =. nbig tri cons consneg =. neg tri cons conszero =. zero tri cons conspos =. pos tri cons conspbig =. pbig tri cons NB. the next sections builds 11 subrules and aggregates them into 1 super Rule Transpose =. ,"_1 of (i. of (<: of # of $) |: ]) AND =. (". of ('ante' &, of [)) and (". of ( 'ante' &, of ])) cmprl =. Transpose of ((( > of {. of [) AND ( > of {: of [)) Implies ". of ('cons' &, of ])) tmp=. ('zero' ; 'zero') cmprl 'zero' tmp=. fuse tmp ,: ('neg' ; 'zero') cmprl 'neg' tmp=. fuse tmp ,: ('pos' ; 'zero') cmprl 'pos' tmp=. fuse tmp ,: ('neg' ; 'pos') cmprl 'neg' tmp=. fuse tmp ,: ('pos' ; 'neg') cmprl 'pos' tmp=. fuse tmp ,: ('pbig' ; 'zero') cmprl 'pbig' tmp=. fuse tmp ,: ('nbig' ; 'zero') cmprl 'nbig' tmp=. fuse tmp ,: ('zero' ; 'pos') cmprl 'pos' tmp=. fuse tmp ,: ('zero' ; 'neg') cmprl 'neg' tmp=. fuse tmp ,: ('zero' ; 'pbig') cmprl 'pbig' tmp=. fuse tmp ,: ('zero' ; 'nbig') cmprl 'nbig' Rule =. tmp tmp =. i. 0 define =. i. 0 0 define =. define ,'Mc =: 1.0' define =. define ,'Mp =: 0.1' define =. define ,'l =: 0.5' define =. define ,'g =: 9.8' ". define =. define ,'tau =: 0.02' setup =. i. 0 0 ". setup =. setup , 'tm =: cp =: cv =: pp =: pv =: 0.0' RUN =. i. 0 0 RUN =. RUN , 'push =. y. ' RUN =. RUN , 'sinPp =. 1 o. pp ' RUN =. RUN , 'cosPp =. 2 o. pp ' RUN =. RUN , 'M =. Mc + Mp ' RUN =. RUN , 'common =. (push + Mp * l * pv * pv *sinPp ) % M ' RUN =. RUN , 'tmp =. l * (4.0 % 3.0 ) - Mp * cosPp * cosPp % M ' RUN =. RUN , 'pa =. ((g * sinPp) - (cosPp * common)) % tmp ' RUN =. RUN , 'ca =. common - Mp * l * pa * cosPp % M ' RUN =. RUN , 'cp =: cp + tau * cv ' RUN =. RUN , 'cv =: cv + tau * ca ' RUN =. RUN , 'pp =: pp + tau * pv ' RUN =. RUN , 'pv =: pv + tau * pa ' RUN =. RUN , 'cp , pp ' run =. RUN : '' closest =. '':' {.&/:&| y. - x. ' sameP =. *./@(}. =}:)@] midItem =. -:&.>:@#@] zeroP =. 0&=@[ lastItem =. <:@#@] firstItem =. 0:@] positiveP =. 0&<@[ noChange =. firstItem`lastItem @. positiveP notZero =. closest`noChange @. sameP closestTo =. (notZero`midItem @.zeroP)"0 1 pushBVs =. 15 * (-|.}.i.9),i.9 poleBVs =. 0.15 * (-|.}.i.9),i.9 velocBVs =. 0.6 * (-|.}.i.9),i.9 wmean =. (+/ . *) % (+/ . ]) pushValues =. pushBVs wmean Rule DO=. i. 0 0 DO =. DO, 'result=: 0 0$0 ' DO =. DO, 'tmp2 =: 0 0 ' DO =. DO,' $. =. ,(y.*$label) $ label' DO =. DO,'label)' DO =. DO, '$. =. (0.2094 >: |{: tmp2)#$.' DO =. DO,'v=.pv closestTo velocBVs' DO =. DO,'p=.pp closestTo poleBVs' DO =. DO,'n=.# velocBVs' DO =. DO,'op =: op + |tmp1 =: (v + p * n) { pushValues' DO =. DO,'tmp2 =: run tmp1' DO =. DO,'((6, (3# 10.6), 12.6 ) ":(tm =: 1 + tm), tmp1, tmp2, op)1!:2 (2)' DO =. DO,'result=: result,(tmp1 ,tmp2)' simulate =. DO : '' read=.1!:1 write=.1!:2 append=.1!:3 kb=.1 screen=.2 tab=. 9{a. lf=. 10{a. cs=.{&('-',a.)&(('_',a.)&i.) clean =. cs@,&lf@;"1 @: (,&tab @ ": &. >) poleBVs =. velocBVs =. nante # 0 pushBVs =. ncons # 0 START =. i. 0 0 START =. START, '(''poleBV: '',":poleBV=:9{poleBVs) write screen' START =. START, 'poleBV=:".read kb [ ''poleBV: '' write screen' START =. START, 'poleBVs=:poleBV* (-|.}.i.9),i.9' START =. START, '(''velocBV: '',":velocBV=:9{velocBVs) write screen' START =. START, 'velocBV=:".read kb [ ''velocBV: '' write screen' START =. START, 'velocBVs=:velocBV* (-|.}.i.9),i.9' START =. START, '(''pushBV: '',":pushBV=:9{pushBVs) write screen' START =. START, 'pushBV=:".read kb [ ''pushBV: '' write screen' START =. START, 'pushBVs=:pushBV* (-|.}.i.9),i.9' START =. START, 'pushValues =: pushBVs wmean Rule' START =. START, '". setup' START =. START, 'op =: 0' START =. START, 'pp =: 0.05' START =. START,''' iter push cart angle total push'' write screen' START =. START,'(i.0)[ simulate y.' start =. START : '' NB. usage: start 20 ------------------------------ End of Digest ************************ Contents: Fuzzy Volume Registration (rmorris@mv.mv.com (Robert Morris)) Face Recognition (Marko.Grobelnik@ijs.si (Marko Grobelnik, IJS ¥(AI Lab¥))) Looking for papers for Invited Session (ecaxron@ariel.lerc.nasa.gov (Ron Graham)) CFP: International GIS WORKSHOP, Sep'94 Delft NL (P.v.Oosterom@fel.tno.nl (Peter van Oosterom)) [cfp] European Conference on Circuit Theory and Design (mkciliz@rodan.syr.edu ()) Fuzzy Systems text (jim_mckay@quickmail.cis.yale.edu (Jim McKay)) CFP: Australian Joint Conference on Artificial Intelligence (AI'94) (ai94@fermat.une.edu.au (Artificial Intelligence Conference 1994)) Conference Proceedings on CD-ROM for Fuzz-IEEE '93 (tzaucha@goodyear.com) Looking for info on the "Fuzzy" language (amoroso@hp4.sm.dsi.unimi.it (Paolo Amoroso)) ---------------------------------------------------------------------- From rmorris@mv.mv.com Tue, 18 Jan 1994 07:17:30 GMT Date: Tue, 18 Jan 1994 07:17:30 GMT From: rmorris@mv.mv.com (Robert Morris) Subject: Fuzzy Volume Registration My Doctoral Thesis involves "Fuzzy Volume Registration". I'd like to know of other on-going research in this highly specialized field. So far, it seems like few people have worked in this area, but I would like to know if I'm wrong. I'd also like to make sure that I don't duplicate the work of others - or repeat to many of their mistakes ROM Thanks for any help you may give me! ------------------------------ From Marko.Grobelnik@ijs.si 18 Jan 1994 11:05:36 +0100 Date: 18 Jan 94 11:05:36 +0100 From: Marko.Grobelnik@ijs.si (Marko Grobelnik, IJS ¥(AI Lab¥)) Subject: Face Recognition Recently I've heard for a problem called face-recognition from a bit-map picture. I didn't find any pointers in FAQs, so I am asking for any references to this problem. In the future I'd like to apply various Machine-Learning techniques to this problem. Therefore, I am also interested in ideas how to approach to the problem: what are relevant attributes, what is possible and what not, what is already in use (by e.g. goverments, security agency organizations, ...) I'll publish summary of relevant answers. ---------------------------------- Marko Grobelnik Artificial Intelligence Laboratory Josef Stefan Institute Jamova 39, Ljubljana Slovenia tel.: (+386) 61 1259 199 fax.: (+386) 61 219 385 e-mail: marko.grobelnik@ijs.si ------------------------------ From ecaxron@ariel.lerc.nasa.gov 18 Jan 1994 09:34 EST Date: 18 Jan 1994 09:34 EST From: ecaxron@ariel.lerc.nasa.gov (Ron Graham) Subject: Looking for papers for Invited Session I'm trying to organize an Invited Session for the IFAC Symposium on Automatic Control in Aerospace, to be held 09/12-16/94 at Palo Alto, CA, USA. The working title of this proposed session is "Neural and Fuzzy Control Development for Air and Space Operations." The intent of this session is to discuss problems in aircraft and spacecraft that are suitable for applied fuzzy and/or neural control, and to propose means of applying said technologies. As such, this session would not be very theoretical. The session would be chaired by myself and Chuck Larson of Rockwell, Downey, CA. Drafts of the papers have to be in soon. For this reason, I suggest you send me an abstract by e-mail right away if you're interested, and only do it if the work's in the can already and you're looking for a place to present it. We have four prospective authors, but we'd like as many more as we can get, to allow for drop-outs, lack of travel funding for confer- ences, and all the other stuff you run into with these things. Thanks in advance for any response. RG ------------------------------ From P.v.Oosterom@fel.tno.nl Tue, 18 Jan 1994 21:06:18 GMT Date: Tue, 18 Jan 1994 21:06:18 GMT From: P.v.Oosterom@fel.tno.nl (Peter van Oosterom) Subject: CFP: International GIS WORKSHOP, Sep'94 Delft NL first circular C A L L F O R P A P E R S International GIS WORKSHOP Spatial Data Modelling and Query Languages for 2D and 3D applications Delft, The Netherlands, September 12-13-14, 1994 Organized under the auspices of: * Netherlands Geodetic Commission * Wageningen Agricultural University (WAU), The Netherlands * TNO Physics and Electronics Laboratory, The Netherlands * University of Twente, The Netherlands * NexpRI: Netherlands Centre for Geographical Information Processing * National Center for Geographic Information and Analysis (NCGIA), USA Main Topics of the Workshop Original and unpublished contributions are invited in the field of *conceptual* modelling for GIS: - modelling from a raster- or vector-oriented approach. This subject includes topics such as the hierarchical ordering of terrain objects, and the vertical integration of themes (overlay). - query languages. This subject deals with topics such as indexing structures and (topologic) object relationships. - dimension. Issues related to 2D, 2.5D, and 3D data modelling. - fuzzy data handling, including subjects such as uncertainty and data quality. Target group Specialists/researchers in the field of the above mentioned subjects are welcome to contribute to this workshop. Set-up Authors are invited to submit extended abstracts. From the submissions, a maximum of 18 contributions will be selected to contribute a paper. In plenary sessions authors will have 45 minutes including discussion to present their paper. Deadline to submit abstracts (1000-1500 words, 4 copies): April 1, 1994. Organizing Committee Martien Molenaar, Wageningen Agricultural University Peter van Oosterom, TNO Physics and Electronics Laboratory Annita Wilschut, University of Twente Sylvia de Hoop, Wageningen Agricultural University Programme Committee Peter Burrough, University of Utrecht, The Netherlands Eliseo Clementini, University of l'Aquila, Italy Paolino Di Felice, University of l'Aquila, Italy Max Egenhofer, NCGIA, University of Maine, Orono Gregor Engels, University of Leiden, The Netherlands Peter Fisher, University of Leicester, UK Sylvia de Hoop, Wageningen Agricultural University, co-chair David Mark, NCGIA, State University of New York at Buffalo Martien Molenaar, Wageningen Agricultural University, chair Peter van Oosterom, TNO Physics and Electronics Laboratory Terence Smith, NCGIA, University of California, Santa Barbara Annita Wilschut, University of Twente Practical Information The workshop will be held in the scenic town of Delft, The Netherlands. The registration fee will not exceed Dfl. 400,- (about $200) and will include admission to the workshop, publications, dinner, lunches, coffee/tea. Accommodation is not included. The number of participants will be limited to 30 to allow ample discussion. The workshop language is English. Workshop participants must note that the Organizing Committee does not assume any liability whatsoever. Participants are requested to make their own arrangements for health and travel insurance. WAU, P.O. Box 339, 6700 AH Wageningen, The Netherlands Tel +31 8370 82643/82130, Fax +31 8370 84643 Pre-registration form International GIS WORKSHOP Spatial Data Modelling and Query Languages for 2D and 3D applications September 12-13-14, 1994, The Netherlands family name ..................................................................... first names ..................................................................... title M/F ..................................................................... position ..................................................................... organization ..................................................................... postal address ..................................................................... post code ..................................................................... country ..................................................................... telephone ..................................................................... telefax ..................................................................... e-mail ..................................................................... I would like to offer the following paper, tentative title: ..................................................................... I shall be accompanied ...........................................Y/N Please return this form to: Programme committee GIS WORKSHOP S. de Hoop WAU, Centre for Geo-Information Processing P.O. Box 339 6700 AH Wageningen, The Netherlands fax: +31 8370 84643 e-mail: dehoop@ds13.lmk.wau.nl ------------------------------ From mkciliz@rodan.syr.edu Tue, 18 Jan 1994 22:10:54 GMT Date: Tue, 18 Jan 1994 22:10:54 GMT From: mkciliz@rodan.syr.edu () Subject: [cfp] European Conference on Circuit Theory and Design ******************* CONFERENCE ANNOUNCEMENT ******************** **** EUROPEAN CONFERENCE ON CIRCUIT THEORY AND DESIGN - 1995 **** ------------------------------------------------------------------ Please note change of dates to : ************************* * * * 27 - 31 AUGUST 1995 * * * ************************* due to the following reasons : 1. European Control Conference (ECC-95) in Rome, Italy is taking place between September 5 - 8, 1995. 2. Hotel prices in Istanbul are reduced drastically from USD140 (single) and USD170 (double) to USD100 (single/double) during the last week of August 1995. --------------------------------------------------------------------------- ECCTD-95 will take place in Istanbul, Turkey, the easternmost European city on the banks of Bosphorus. The conference site will be conveniently located to provide easy access to historical monuments in the old city, to cultural centers and recreational facilities in the modern quarters as well as to magnificent natural spots. CONFERENCE TOPICS ----------------- The objective of the conference is to address current research topics in the following areas : CIRCUITS : Analog, Digital, Neural, Equivalent, Mixed-Integrated, Microwave, Switched-Capacitor Circuits. SIGNALS : Analog, Digital, Adaptive Signals; Image, Speech and Biomedical Processing; Mutiresolutional Analysis; Knowledge-Based Processing. SYSTEMS : Analog/Digital, Mixed, Video, Neural, Biomedical, Expert, Discrete Event, Fuzzy Systems. MATH. METHODS : Transform Theory, Linear/Nonlinear, Graph Theory, Fractals, Chaos, Large-Scale, Multi-Dimensional. COMP. METHODS : Analysis and Design Tools, Simulation, Modeling, Emulation, Complexity, Neural, Fault Analysis. The presentations will be in the form of contributed and invited papers in regular and special sessions, student poster sessions and state-of- the-art talks by keynote speakers. Deadline for submission of papers is tentatively scheduled for the end of December 1994. TUTORIALS --------- The first day of the conference will be devoted to half or full day tutorials. Topics planned will include Knowledge Based Signal Processing, Applications of Artificial Neural Networks, Fractal Techniques for Image Compression and other current subjects of interest. ACCOMODATION ------------ Istanbul offers a full spectrum of hotel accomodations, ranging from many five star hotels like Conrad, Sheraton, Hilton, Kempinski to high-quality but inexpensive economy class hotels, most of them easily accessible from the conference site. Baby sitting will also be available. The organizers will try their best to provide a warm welcome to the delegates and their companions, beginning with an informal opening cocktail on the evening of 28 August 1995, continuing the next evening still with another cocktail (casual this time) and concluding with a conference banquet on the evening of 30 August. An organized city tour is a *must* on the afternoon of 29 August to visit the major historical sites. For those interested, post-conference excursions are being planned to Cappadocia and Ephesus between 1 - 3 September 1995. ORGANIZING COMMITTEE -------------------- Conference Chairman : Prof. Dr. I. Cem Goknar, Istanbul Technical University Ph. (90) 212 - 285 3603, Fax (90) 212 - 285 3679 e-mail : eegoknar@tritu.bitnet Technical Program Prof. Dr. Siddik Yarman, Istanbul University Chairman : Ph. (90) 212 - 591 1996, Fax (90) 212 - 240 1349 Special Sessions & Prof. Dr. Kemal Inan, Middle East Technical University Tutorials Chairman : Ph. (90) 312 - 210 1000, Fax (90) 312 - 210 1105 Finance Chairman : Prof. Dr. Ergul Akcakaya, Istanbul Technical University Ph. (90) 212 - 285 3606, Fax (90) 212 - 285 3679 Publications Prof. Dr. Bulent Sankur, Bogazici University Chairman : Ph. (90) 212 - 263 1500, Fax (90) 212 - 257 5030 e-mail : sankur@trboun.bitnet Publicity Chairman : Prof. Dr. Yorgo Istefanopulos, Bogazici University Ph. (90) 212 - 263 1500, Fax (90) 212 - 257 5030 e-mail : stef@trboun.bitnet Exhibits Chairman : Prof. Dr. Ahmet Dervisoglu, Istanbul Tech. University Ph. (90) 212 - 285 1838, Fax (90) 212 - 285 3679 email : eedervis@tritu.bitnet Correspondence Assoc. Prof. Dr. Yusuf Leblebici, Istanbul Tech. Univ. Chairman : Ph. (90) 212 - 285 3648, Fax (90) 212 - 285 3679 e-mail : eeyusuf@tritu.bitnet Local Arrangements Assoc. Prof. Dr. Cuneyt Guzelis, Istanbul Tech. Univ. Chairman : Ph. (90) 212 - 285 3610, Fax (90) 212 - 285 3679 e-mail : eecuneyt@tritu.bitnet Student Activities Assoc. Prof. Dr. Omer Morgul, Bilkent University Chairman : Ph. (90) 312 - 532 4197, Fax (90) 312 - 266 4127 e-mail : morgul@trbilun.bitnet ------------------------------ From jim_mckay@quickmail.cis.yale.edu Tue, 18 Jan 1994 14:14:13 Date: Tue, 18 Jan 1994 14:14:13 From: jim_mckay@quickmail.cis.yale.edu (Jim McKay) Subject: Fuzzy Systems text I recently heard of a book entited "Fuzzy Systems Handbook" written by Earl Cox. Has anyone else heard (read) of it? If so, what audience is it intended for and does it include any projects in fuzzy control? ------------------------------ From ai94@fermat.une.edu.au 19 Jan 1994 01:37:07 GMT Date: 19 Jan 94 01:37:07 GMT From: ai94@fermat.une.edu.au (Artificial Intelligence Conference 1994) Subject: CFP: Australian Joint Conference on Artificial Intelligence (AI'94) ========= F I R S T ========= C A L L F O R P A P E R S Seventh Australian Joint Conference on Artificial Intelligence (AI'94) "Sowing the Seeds for the Future" 21 - 25 November 1994 Proudly sponsored by Microsoft Institute (principal sponsor), IBM, Sun Microsystems, Australian Computer Society, and Department of Mathematics, Statistics, and Computing Science (UNE). Hosted by Department of Mathematics, Statistics, and Computing Science The University of New England Armidale, N.S.W., 2351 AUSTRALIA AI'94 is the Seventh Australian Joint Conference on Artificial Intelligence. AI'94 is conducted under the auspices of the Australian Computer Society's National Committee for Artificial Intelligence and Expert Systems. The theme of the conference is "Sowing the Seeds for the Future", which reflects the nature of research in Artificial Intelligence. The goal of the conference is to promote research in artificial intelligence (AI) and scientific interchange among AI researchers and practitioners. AI'94 will be hosted by The Department of Mathematics, Statistics, and Computing Science at The University of New England, between Monday 21st November to Friday 25th November 1994. PROGRAM COMMITTEE CO-CHAIR ORGANISING COMMITTEE Dr. Chengqi Zhang (co-chair) Dr. Dickson Lukose (chair) Prof. John Debenham (co-chair) Mr. Allan Williams (secretary) Dr. Simant Dube (treasurer) Mr. Neil Dunstan Ms. Gabrielle Aldridge We invite authors to submit papers describing both experimental and theoretical results from all stages of AI research. In particular, we encourage submission of papers that describe innovative concepts, techniques, perspectives, or observations that are not yet supported by mature results. Such submissions must include substantial analysis of the ideas, the technology needed to realise them, and their potential impact. Papers describing applied AI are particularly solicited. In addition, because of the essential interdisciplinary nature of AI and the need to maintain effective communication across sub-specialties, we encourage authors to position and motivate their work in the larger context of the general AI community. Topics of interest include, but are not limited to: Machine Learning Knowledge Acquisition Natural Language Processing Natural Language Understanding Hybrid Systems Genetic Algorithms Evolutionary Programming Knowledge Based Systems Knowledge Representation Qualitative Reasoning Automated Reasoning Planning and Scheduling Cognitive Modelling Robotics Vision Distributed Artificial Intelligence Neural Network Image Analysis Authors are invited to submit complete, original papers in the format specified below, reflecting their current research results. All submitted papers will be refereed for quality and originality. The program committee reserves the right to accept submissions as either technical or poster presentation paper. Authors must submit five (5) copies of the completed paper to the AI'94 Conference Secretary at the following address by 15th. June 1994. AI'94 Conference Secretary Department of Mathematics, Statistics, and Computing Science The University of New England Armidale, N.S.W., 2351 AUSTRALIA All five (5) copies of the submitted paper must be clearly legible. Neither computer files nor fax submission are acceptable. Papers received after the 15th. June 1994 will be returned unopened. Notification of receipt will be mailed to the first author (or designated author) soon after receipt. PAPER FORMAT FOR REVIEW All five copies of the submissions must be printed on 8 1/2" x 11" or A4 paper using 12 point type (10 characters per inch for typewriters or 12 point LaTeX article-style). Double-sided printing is strongly encouraged. The body of submitted papers must be at most 8 pages, including figures, tables, diagrams, and bibliography, but excluding the title page. Papers exceeding the specified length or formatting requirements are subject to rejection without review. Each copy of the paper must have a title page (separate from the body of the paper) containing the title of the paper, the names and addresses of all authors, telephone number, fax number and electronic mail address, a short (less than 200 word) abstract, and a descriptive content area or areas. The body of the paper should have a copy of the title and a page number on each page. To facilitate the reviewing process, authors are requested to select appropriate content areas from the list below. Authors are invited to add additional content area descriptors to their title page as needed. Artificial Life, Automated Reasoning, Behaviour-Based Control, Belief Revision, Case-Based Reasoning, Cognitive Modelling, Common Sense Reasoning, Communication and Cooperation, Constraint-Based Reasoning, Computer-Aided Education, Connectionist Models, Corpus-Based Language Analysis, Deduction, Diagnosis, Discourse Analysis, Distributed Problem Solving, Expert Systems, Geometrical Reasoning, Information Extraction, Knowledge Acquisition, Knowledge Representation, Knowledge Sharing Technology, Large Scale Knowledge Engineering, Learning/Adaptation, Machine Learning, Machine Translation, Mathematical Foundations, Multi-Agent Planning, Natural Language Processing, Neural Networks, Nonmonotonic Reasoning, Perception, Planning, Probabilistic Reasoning, Qualitative Reasoning, Reasoning about Action, Reasoning about Physical Systems, Reactivity, Robot Navigation, Robotics, Rule-Based Reasoning, Scheduling, Search, Sensor Interpretation, Sensory Fusion/Fission, Simulation, Situated Cognition, Spatial Reasoning, Speech Recognition, System Architectures, Temporal Reasoning, Terminological Reasoning, Theorem Proving, Truth Maintenance, User Interfaces, Virtual Reality, Vision, 3-D Model Acquisition. Each paper will be carefully reviewed. Questions that will appear on the review form have been reproduced below. Authors are advised to bear these questions in mind while writing their papers: How important is the work reported? Does it attack an important/difficult problem or a peripheral/simple one? Does the approach offered advance the state of the art? Has this or similar work been previously reported? Are the problems and approaches completely new? Is this a novel combination of familiar techniques? Does the paper point out differences from related research? Is it re-inventing the wheel using new terminology? Is the paper technically sound? Does it carefully evaluate the strengths and limitations of its contribution? How are its claims backed up? Is the paper clearly written? Does it motivate the research? Does it describe the inputs, outputs and basic algorithms employed? Does the paper describe previous work? Are the results described and evaluated? Is the paper organised in a logical fashion? IMPORTANT DATES Deadline for paper submission : 15th. June 1994 Notification of acceptance : 31st. July 1994 Camera Ready Copy : 22nd. August 1994 FURTHER INFORMATION All enquires regarding AI'94 should be directed to the following address: AI'94 Conference Secretary Department of Mathematics, Statistics, and Computing Science The University of New England Armidale, N.S.W., 2351 AUSTRALIA E-mail: ai94@fermat.une.edu.au You may e-mail the following address with the Subject Heading "help" to obtain details on AI'94, UNE, and Armidale. ai94-info@fermat.une.edu.au ai94-info mail server has been established to enable electronic request for information regarding AI'94 Conference. ------------------------------ From tzaucha@goodyear.com Thu Jan 20 12:37:52 1994 Date: Thu Jan 20 12:37:52 1994 From: tzaucha@goodyear.com Subject: Conference Proceedings on CD-ROM for Fuzz-IEEE '93 Last year I attended the IEEE combined conference on Fuzzy Systems and Neural Networks. With my registration fee, I received one set of proceedings; I chose to take the neural network set. I had fully intended to order the Fuzzy Systems set when I returned home. Well, I'm finally getting around to it. At the conference, unless I am remembering incorreclty, they were selling the conference proceedings on CD-ROM. When I called the IEEE Service Center to inquire about the conference proceedings, they had no information about it being availible on CD. If anyone could provide information concerning the existence or non-existence of the proceedings for the "Second IEEE International Conference on Fuzzy Systems" (a.k.a. "FUZZ-IEEE") on CD-ROM, please let me know. (The bound volume is available, but CDs are so much more convenient.) Thanks! -- ----------------------------------------------------------------------- Timothy R. Zaucha | tzaucha@goodyear.com The Goodyear Tire & Rubber Company | Tire Mechanics & Manufacturing Science - D410F | Voice (216) 796-3931 The Goodyear Technical Center | Fax (216) 796-3947 Akron, OH 44309-3531 | ----------------------------------------------------------------------- ------------------------------ From amoroso@hp4.sm.dsi.unimi.it 20 Jan 1994 14:55:59 +0100 Date: 20 Jan 1994 14:55:59 +0100 From: amoroso@hp4.sm.dsi.unimi.it (Paolo Amoroso) Subject: Looking for info on the "Fuzzy" language I'm looking for (any kind of) information about a programming language named "Fuzzy". I'm not even sure about its name. All I know is that it should be a dialect of Lisp with support for Fuzzy Logic concepts. Please post your followups to comp.ai.fuzzy. Thanks in advance. -- Paolo Amoroso - amoroso@dsi.unimi.it (Univ.) - "Use the Source, Luke." ------------------------------ End of Digest ************************ Contents: Conference Proceedings on CD-ROM for Fuzz-IEEE '93 (zorat@cs.unitn.it) ANNIE '94 - CALL FOR PAPERS (mmoganti@saucer.cc.umr.edu (Madhav Moganti)) Fuzzy membership functions question (TAN HSIAO-YUN ) Call for Papers: EXPERSYS - 94 (heller@rosie.uh.edu (And thanks for all the fish)) Transp.probl. in fuzzy logic/Parametric progr. (s_marius@irau28.uka.de (Marius Kjeldahl)) FTP site for Fide 2.0 Demo (anderson@aptronix.com (Taylor Anderson)) NEED: MATLAB routines for fuzzy logic control (ORG100F ) Re: Conference Proceedings on CD-ROM for Fuzz-IEEE '93 (Michael Berthold ) FINAL CFP: 4th Dortmund Fuzzy Days, 4.-6.June'94 [ASCII+LaTeX] (kulas@jupiter.informatik.uni-dortmund.de (Marija Kulas)) Original Reference to Sugeno Type controller (Wu Zhi Qiao ) Re: Fuzzy membership functions question (Chih-Hung Wu ) BISC Siemens Fellowship (correction) (Glen Ozawa ) Fuzzy Inference Systems toolbox for MATLAB (M.F.Abbod@sheffield.ac.uk) WCCI 94: Symposium on IMITATING LIFE : Prelim. Program (khedkar@merak.crd.ge.com (Pratap Khedkar)) fuzzy clustering (v.dimitrov@uws.edu.au (Vladimir Dimitrov)) enquiry on automated character recognition system (jitshiew@iti.gov.sg (Han Jit Shiew)) III FLAT Congress ("J.L. Verdegay" ) ---------------------------------------------------------------------- From zorat@cs.unitn.it Tue, 25 Jan 1994 21:07:00 +0100 Date: Tue, 25 Jan 1994 21:07:00 +0100 From: zorat@cs.unitn.it Subject: Conference Proceedings on CD-ROM for Fuzz-IEEE '93 Last year I attended the IEEE combined conference on Fuzzy Systems and Neural Networks. With my registration fee, I received one set of proceedings; I chose to take the neural network set. I had fully intended to order the Fuzzy Systems set when I returned home. Well, I'm finally getting around to it. At the conference, unless I am remembering incorreclty, they were selling the conference proceedings on CD-ROM. When I called the IEEE Service Center to inquire about the conference proceedings, they had no information about it being availible on CD. If anyone could provide information concerning the existence or non-existence of the proceedings for the "Second IEEE International Conference on Fuzzy Systems" (a.k.a. "FUZZ-IEEE") on CD-ROM, please let me know. (The bound volume is available, but CDs are so much more convenient.) Thanks! -- ----------------------------------------------------------------------- Timothy R. Zaucha | tzaucha@goodyear.com The Goodyear Tire & Rubber Company | Tire Mechanics & Manufacturing Science - D410F | Voice (216) 796-3931 The Goodyear Technical Center | Fax (216) 796-3947 Akron, OH 44309-3531 | ----------------------------------------------------------------------- ------------------------------ From mmoganti@saucer.cc.umr.edu Wed, 26 Jan 1994 03:47:57 GMT Date: Wed, 26 Jan 1994 03:47:57 GMT From: mmoganti@saucer.cc.umr.edu (Madhav Moganti) Subject: ANNIE '94 - CALL FOR PAPERS ============================================================================ CALL FOR PAPERS ============================================================================ ANNIE '94 ========= ARTIFICIAL NEURAL NETWORKS IN ENGINEERING November 13 -16, 1994 Marriott Pavilion Hotel St. Louis, Missouri ============================================================================ ANNIE '94 will be held on November 13 - 16, 1994, at Marriott's Pavilion Hotel in downtown St. Louis, Missouri, USA. This will be the fourth international gathering of researchers interested in engineering applications of neural networks. The previous conferences drew approximately 150 papers each from twelve countries and their proceedings were published by ASME press as hardbound books titled Intelligent Engineering Systems Through Artificial Neural Networks edited by Drs. Dagli, Kumara and Shin, Intelligent Engineering Systems Through Artificial Neural Networks, Vol 2 edited by Drs. Dagli, Burke and Shin, and Intelligent Engineering Systems Through Artificial Neural Networks, Vol 3 edited by Drs. Dagli, Burke, Fernandez, and Ghosh. The conference will cover the theory of artificial neural networks and its applications in the engineering domain. The objective of the conference is to bring together researchers in the field of neural networks and exchange ideas on their applications to engineering problems. Presentations dealing with artificial neural network implementations in manufacturing, process control and monitoring, manufacturing feature recognition, image processing, control, hybrid systems, neurally based networks, chaos, wavelets, and optimization are encouraged. TOPICS OF INTEREST: =================== Artificial Neural Network Architectures: --------------------------------------- -Paradigms -Neurally-Based Networks -Associative Memory -Learning Algorithms and Training -Performance Analysis -Theoretical Foundations of Architectures -Fuzzy Logic -Genetic Algorithms -Chaos -Wavelets -Soft Computing Pattern Recognition: ------------------- -Pattern Identification -Feature Identification -Machine Vision and Image Processing Neuro-Control: ------------- -Adaptive Control -Non-linear Systems Modeling -Diagnosis -Process Monitoring Neuro-Engineering Systems: ------------------------- -Manufacturing Applications -Optimization -Hybrid Artificial Neural Systems -Engineering Applications Papers and session proposals relevant to these or closely related areas are invited. CALL FOR CONTRIBUTED PAPERS: =========================== The organizing committee invites all persons interested in the applications of artificial neural networks in engineering to submit papers for presentation at the conference. All papers accepted for presentation will be published in the conference proceedings. All papers will be reviewed for technical merit and content by senior researchers in the field to assure a high-quality conference and proceedings based on full paper submissions. Authors are requested to send a letter of intent, an information sheet that includes the full name of the author(s), title, address, phone number and FAX or E-mail number (if applicable) and an abstract (up to 200 words) by March 4, 1994. Full papers are due by May 20, 1994. Authors will be notified of the status of their submittal by July 8, 1994 and camera-ready manuscripts will be due by August 12, 1994. Approximately six to eight pages will be allocated for each accepted paper in the proceedings. Authors should forward their letter of intent, information sheet, abstract and full paper to: Dr. Cihan H. Dagli Conference Chair 223 Engineering Management Building University of Missouri-Rolla Rolla, MO 65401-0249, USA Phone: (314) 341-4374 FAX: (314) 341-6567 E-Mail: DAGLI@SHUTTLE.CC.UMR.EDU MONYA@SHUTTLE.CC.UMR.EDU KEYNOTE SPEAKERS: ================ ANNIE '94 will be seeking to invite distinguished researchers from industry, government and academia as keynote speakers. Suggestions of possible speakers' names should be made to the Conference Chair. AWARDS: ====== ANNIE '94 is planning to present a Best Paper Award to the authors of two papers in the area of "Novel Engineering Applications" and "Theoretical Development of Artificial Neural Networks" with best technical merit. AUTHORS' SCHEDULE: ----------------- March 4, 1994 Deadline for contributed paper abstract, information sheet and letter of intent May 20, 1994 Deadline for full papers July 8, 1994 Notification of status of contributed papers August 12, 1994 Deadline for camera ready manuscripts CONFERENCE TUTORIALS: -------------------- The organizing committee intends to arrange tutorials to be held in conjunction with the conference. The following, or closely related, topics are encouraged: -Pattern Recognition -Bio-medical Image Processing -Neurally-Based Networks -Specific Artificial Neural Network Paradigms -Learning Algorithms -Chaos -Wavelets -Fuzzy Logic -Genetic Algorithms -Soft Computing Interested individuals should contact the Conference Chairman. EXHIBITORS: ========== ANNIE '94 is inviting companies and research institutions interested in Artificial Neural Network Applications in Engineering to take part in the ANNIE Exhibition to be held on November 13 -16, 1994. Book companies publishing in this area are also welcome. For further information, please contact: ANNIE '94 Engineering Management Department 223 Engineering Management Building University of Missouri-Rolla Rolla, MO 65401 Phone: (314) 341-6576 FAX: (314) 341-6567 CONFERENCE PROCEEDINGS: ====================== Papers submitted to the conference will be reviewed by two referees and all accepted papers will be published as a hardbound book published by ASME Press and edited by Drs. Dagli, Fernandez, Ghosh, and Kumara. A copy of the book will be given to each participant at the conference. After the conference, the book will be available from the publisher. SPONSORING ORGANIZATIONS: ======================== Office of Naval Research, Arlington, VA Dynamic Systems and Control Division, ASME McDonnell Douglas Corporation, St. Louis, MO Corporate Headquarters, Lockheed Corp. Calabasas, CA Boeing Corporation, Seattle, WA Center for Optimization and Control, Washington University, St. Louis, MO ORGANIZING COMMITTEE: ==================== Conference Chair: ---------------- Prof. Cihan H. Dagli Engineering Management University of Missouri-Rolla Rolla, MO Conference Co-Chair: ------------------- Prof. Benito Fernandez Mechanical Engineering University of Texas at Austin Prof. Joydeep Ghosh Electrical and Computer Engineering University of Texas at Austin Prof. Soundar R.T. Kumara Industrial and Management Systems Engineering Penn State University Members: -------- USA: Prof. Luke Achenie, University of Connecticut Prof. Hojjat Adeli, Ohio State University at Columbus Prof. Massoud Amin, Washington University-St. Louis Prof. Marijke F. Augusteijn, University of Colorado Prof. Laura I. Burke, Lehigh University Prof. Thomas P. Caudell, Boeing Corp. Dr. Tien-Hsin Chao, Jet Propulsion Lab Prof. Rama Chellappa, University of Maryland Prof. C.L. Philip Chen, Wright State University Prof. John Y. Cheung, University of Oklahoma Prof. George Chryssolouris, MIT Dr. Joel Davis, ONR, Arlington, VA Prof. Okan Ersoy, Purdue University Prof. Laurene Fausett, Florida Institute of Technology Dr. William A. Fisher, Lockheed, Palo Alto, CA Prof. Jim Garrett, Carnegie-Mellon University Prof. Jamshid Ghaboussi, University of Illinois-Urbana Prof. David Goldberg, University of Illinois Prof. Bruce Golden, University of Maryland Dr. Aloke Guha, Honeywell, Minneapolis, MN Mr. Michael L. Hinman, Rome Air Devlp. Ctr. Prof. Susan I. Hruska, Florida State University Prof. Michael Jordan, MIT Prof. Nicolaos Karayiannis, University of Houston Prof. R.L. Kashyap, Purdue University Prof. Andrew Kusiak, University of Iowa Prof. Chun-Shin Lin, University of Missouri-Columbia Prof. Stephen C-Y. Lu, University of Illinois-Urbana Dr. Kenneth Marko, Ford Motor Company Mr. Thomas McTigue, McDonnell-Douglas, St. Louis, MO Prof. Evangelia Micheli-Tzanakou, Rutgers University Prof. Haluk Ogmen, University of Houston Prof. Tokunbo Ogunfunmi, Santa Clara University Prof. John M. Owens, Auburn University Prof. Ozcan Ozdamar, University of Miami-Coral Gables Prof. Gary K. Patterson, University of Missouri-Rolla Prof. James Peterson, Clemson University Prof. Russell Pimmel, University of Alabama-Tuscaloosa Prof. P.A. Ramamoorthy, University of Cincinnati Prof. Ervin Rodin, Washington University-St. Louis Prof. Steven K. Roger, Air Force Inst. of Technology Prof. Mohammed Sayeh, SIU-Carbondale Prof. Ishwar K. Sethi, Wayne State University Prof. Yung C. Shin, Purdue University Prof. Alice Smith, University of Pittsburgh Dr. Donald Specht, Lockheed Missiles and Space Co., Inc. Prof. Daniel St. Clair, University of Missouri-Rolla Prof. John P.H. Steele, Colorado School of Mines Dr. Richard Sutton, GTE Labs MS-44 Prof. Janos Sztipanovits, Vanderbilt University Prof. Harold Szu, NSWC, Washington, DC Prof. Lefteri H. Tsoukalas, Univ. of Tennessee-Nashville Prof. Aynur Unal, Vision & Sound Res. Inst. Prof. Benjamin Wah, University of Illinois-Urbana Dr. Paul Werbos, National Science Foundation Prof. Chwan-Hwa Wu, Auburn University Prof. Francis T. Yu, Pennsylvania State University Prof. Jacek M. Zurada, University of Louisville CANADA: Prof. Michael Guillot, University of Laval, Quebec Mr. John Sutherland, AND America Ltd. JAPAN: Prof. Yasuhiko Dote, Muroran Institute of Technology Prof. Toshihiro Ioi, Chiba Institute of Technology Prof. Yukinori Kakazu, Hokkaido University Prof. Setsuo Ohsuga, University of Tokyo Prof. Youchi Okabe, University of Tokyo Prof. Masaharu Kitamura, Tohoku University UNITED KINGDOM: Prof. Muhammed A. Javed, Southampton Institute, U.K. Prof. Tim Spracklen, University of Aberdeen, Scotland Prof. Gary Whittington, University of Aberdeen, Scotland FRANCE: Prof. Stephane Canu, Universite de Compi Prof. Thierry Denoeux, Universite de Compie Prof. Bernard Dubuission, University of Compie Prof. Pierre Morizet, University of Compie AUSTRIA: Prof. George Dorffner, Austria Research Institute for AI Prof. Robert Trappl, Austria Research Institute for AI BELGIUM: Dr. F. Vandamme, BIKIT, University of Ghent GERMANY: Dr. Winfried Schauer, Tech Hoch. Schule Wismar, Wismar ========================================================================= -------END OF ARTICLE---------- ========================================================================= ------------------------------ From tanh@a.cs.okstate.edu Wed, 26 Jan 1994 0:20:49 CST Date: Wed, 26 Jan 94 0:20:49 CST From: TAN HSIAO-YUN Subject: Fuzzy membership functions question Hi: I need some guide in the following questions: If the domain of data is numeric value (real, integer...), then the fuzzy membership degree can be caculate by defining the membership function, such as YOUNG(30)=0.8, TALL(175)=0.9 etc. The question is how can we caculate the fuzzy degree when the domain of data is charater string (not value)? For example, student grades are stored as A, B, C, D, E, F, how can we define fuzzy membership functions "EXECENT","GOOD" according to the non-value data (A,B,C,D,E,F)? How can we caculate fuzzy membership degree for the non-value data? Another example, if the color are stored as red, pink, black, white, blue, and so on and we need to define fuzzy membership functions like DARKCOLOR, BRIGHTCOLOR, etc, how can we define these fuzzy functions? how are the degree caculated? Any hint or suggestion will be great appreciated. My email address: tanh@a.cs.okstate.edu Thanks in advance. Tan, HY ------------------------------ From heller@rosie.uh.edu 26 Jan 1994 12:48 CST Date: 26 Jan 1994 12:48 CST From: heller@rosie.uh.edu (And thanks for all the fish) Subject: Call for Papers: EXPERSYS - 94 **************************************************************** * CALL FOR PAPERS * * The Sixth International Conference on * * * * ARTIFICIAL INTELLIGENCE * * & * * EXPERT SYSTEMS APPLICATIONS * **************************************************************** EXPERSYS - 94 December 1-2, 1994 J.W. Marriott Hotel, Houston, Texas (USA) **************************************************************** * General Chairman * * J.G. Chen, University of Houston (USA) * * * * Co-Chairmen * * F.G. Attia, University of Houston (USA) * * D.L. Crabtree, Purdue Univeristy (USA) * * * * Sponsored by * * Institute for Industrial Technology Transfer * * * * Co-Sponsors * * NASA/Johnson Space Center * * Society of Manufacturing Engineers (Houston) * * Institute of Industrial Engineers (Houston) * * University of Houston * * Purdue University * **************************************************************** AIM AND SCOPE Following the success of previous EXPERSYS Conferences organized in France and in the USA, the Sixth International EXPERSYS-94 will be held in Houston, Texas (USA) on December 1-2, 1994. It will bring together scientists, engineers, and industrial professionals from different parts of the world, working both on fundamental aspects as well as industrial applications of artificial intelligence and expert systems. The international conference committee invites you to submit a paper on the following topics (but not limited to): TOPICS OF INTEREST Artificial intelligence and expert systems applications in science, engineering, architecture, environment, business and finance, law, aerospace, military, telecommunications, and knowledge management and processing. Specific topics of previous conferences have covered ES in chemistry and biology, real time processing, manufacturing, CAD/CAM, automation, robotics, cost-benefit analysis, modeling, as well as development environments, verification and validation of ES. Other topics have also been AI interfaces, knowledge representation and processing, neural networks, fuzzy logic, speech recognition and natural language processing, intelligent software and hardware. New and innovative applications of AI and ES are highly encouraged. CALL FOR CONTRIBUTED PAPERS Authors are requested to submit three copies of abstract (350 words maximum) by April 1, 1994 to: Dr. Jacob J.G. Chen Conference General Chairman Department of Industrial Engineering University of Houston, Houston, TX 77204-4812, U.S.A. Phone: (713)743-4198 Fax: (713)743-4190 E-mail:JGCHEN@UH.EDU All abstracts and final papers will be reviewed by the International Advisory Committee. Notification of acceptance of abstracts will be mailed by May 1, 1994. CALL FOR INVITED SESSIONS Authors are encouraged to organize a session in the topics relevant to the Conference. Interested session organizers are requested to submit a proposal, including the title of the session, title of articles, and a list of participating authors and their affiliations by March 15, 1994 to the conference general chairman. Interested session organizers are encouraged to discuss their proposals with the conference general chairman as soon as possible. PROGRAM COMMITTEE General Chairman: J.G. Chen, University of Houston (USA) Co-Chairmen: F.G. Attia, University of Houston (USA) D.L. Crabtree, University of Purdue (USA) International Advisory Committee: A. Badiru, University of Oklahoma (USA) P. Chopra, University of Tennessee (USA) C. Donaghey, University of Houston (USA) S. Hashemi, University of Houston (USA) M. Heller, University of Houston (USA) J.P. Ignizio, University of Virginia (USA) M. Krisper, Ljubljana University (Bosnia) T. Martelli, Universite de Paris 5, LIMSI-CNRS (France) E. Mercier-Laurant, BULL (France) H.S. Nwana, University of Keele (U.K) U. Schmitt, FOGRA (Germany) P. Smith, University of Sunderland (U.K) C. Vassiliadis, Ohio University (USA) M.J. Wang, National Tsing Hua University (Taiwan) L. Webster, NASA/Johnson Space Center (USA) IMPORTANT DEADLINES April 1, 1994: Submission of Abstract (350 words maximum) May 1, 1994: Notification of acceptance of Abstract August 15, 1994: Submission of final paper (6 pages maximum) GENERAL INFORMATION REGISTRATION FEE: Regisration fee includes the Conference Proceedings, lunches, and coffee breaks. Early registration (Before August 15, 1994) - US$ 300 Regular registration - US$ 350 One-day registration - US$ 220 Student registration - US$ 60 Proceedings only - US$ 100 Tour to NASA/JSC (on December 3, 1994) - US$ 25 HOTEL: A limited number of rooms have been reserved at reduced price at J.W. Marriott Hotel. Delegates are invited to reserve their rooms directly. TOUR: Special tours of NASA/JSC technical areas for conference attendees will be arranged and hosted by NASA/JSC on December 3, 1994. Attendees will also visit Space Center Houston. Tour fee doesn't include lunch. EXPERSYS - 94 REPLY CARD Last and First Name _______________________________________________________ Company ___________________________________________________________________ Mailing Address ___________________________________________________________ City _________________________________ State ______________________________ Zip __________________________________ Country ____________________________ Phone ____________________ Fax __________________ E-Mail __________________ [ ] Please send me the Program of EXPERSYS - 94 REGISTRATION [ ] Early registration (Before August 15, 1994) -----------------US$ 300 [ ] Regular registration ----------------------------------------US$ 350 [ ] One-day registration ----------------------------------------US$ 220 [ ] Student registration ----------------------------------------US$ 60 [ ] Proceedings only --------------------------------------------US$ 100 [ ] Tour to NASA/JSC (on December 3, 1994) ----------------------US$ 25 PAPER PROPOSAL [ ] I would like to submit a paper. Please find enclosed an abstract of 350 words. [ ] I would like to organize a session. Please find enclosed proposal. REGISTRATION INFORMATION Please send registration form and fee to: 1. Delegates from Europe 2. Delegates from USA and other countries IITT - International Dr. Farouk G. Attia 94 Promenade A. Ballu University of Houston F-93460 Gournay sur Marne, France Houston, TX 77204-4083, USA Tel: 33-1-45921771 Tel: 713-743-4036 Fax: 33-1-45929215 Fax: 713-743-4032 Telex: 250303 (Att. iitt) Please make check payable to IITT-International or by bank transfer to IITT bank account: The Bank of NewYork, 300 Park Avenue, NY 10022, USA Account No.: 021908521-051139529 ------------------------------ From s_marius@irau28.uka.de 26 Jan 1994 11:19:42 GMT Date: 26 Jan 1994 11:19:42 GMT From: s_marius@irau28.uka.de (Marius Kjeldahl) Subject: Transp.probl. in fuzzy logic/Parametric progr. In an article by S. Chanas, W. Kolodziejczyk and A. Machaj, A fuzzy approach to the transportation problems, published in Fuzzy Sets and System 13, 1984, they mention two methods for solving such problems. One is by using an iterative method published earlier (by Bellmann and Zadeh), and the other by using parametric programming. I must admit that my knowledge on the latter is very weak, and would appreciate if somebody could give me a short introduction to this subject (what it is, how it's used with a simple example). I think the closest thing to parametric programming I have ever done, must be using Lagrange multipliers, but then again if I had a clue, I would not be posting this message. Thanks in advance.. -- Marius Kjeldahl ( s_marius@ira.uka.de ) | Why beer is better? A beer Student in Operational Research, Informatics, | want get upset if you come Economics and Management at the Norwegian Inst. | home with another beer. of Technology/Univ. of Karlsruhe, Germany | -- alt.tasteless.jokes ------------------------------ From anderson@aptronix.com Thu, 27 Jan 1994 01:23:47 GMT Date: Thu, 27 Jan 1994 01:23:47 GMT From: anderson@aptronix.com (Taylor Anderson) Subject: FTP site for Fide 2.0 Demo Greetings. We (Aptronix) will shortly have a _free_ demo of Fide 2.0 avaliable, for your enlightenment and enjoyment. (Fide is a PC based fuzzy design tool). We are looking for an FTP site where where we can put it. Otherwise, distribution will be limited to e-mail and BBS. (1.4Mb can take a while to send!!) So if you have an FTP site that is willing, let me know. Thanks. Taylor -- anderson@aptronix.com ------------------------------ From ORG100F@oduvm.bitnet Wed, 26 Jan 1994 10:41:39 EST Date: Wed, 26 Jan 1994 10:41:39 EST From: ORG100F Subject: NEED: MATLAB routines for fuzzy logic control Please let me know if there are MATLAB routines for fuzzy logic control in the public domain. I was told that a message was posted last year. Please reply to org@ee.odu.edu Oscar ------------------------------ From berthold@fzi.de Thu, 27 Jan 1994 18:07:50 +0100 Date: Thu, 27 Jan 1994 18:07:50 +0100 From: Michael Berthold Subject: Re: Conference Proceedings on CD-ROM for Fuzz-IEEE '93 Yes, they are available on CD. As a matter of fact I have both proceedings on CD in my office right now :-) - Michael ------------------------------ From kulas@jupiter.informatik.uni-dortmund.de 27 Jan 1994 18:37:27 GMT Date: 27 Jan 1994 18:37:27 GMT From: kulas@jupiter.informatik.uni-dortmund.de (Marija Kulas) Subject: FINAL CFP: 4th Dortmund Fuzzy Days, 4.-6.June'94 [ASCII+LaTeX] ***FINAL*** CALL FOR PAPERS AND SOFTWARE/HARDWARE DEMONSTRATIONS 4th Dortmund Fuzzy Days Theme: Computational Intelligence (Fuzzy Logic, Neural Networks, Evolutionary Algorithms) 6. - 8. June 1994 +------------------------------------------------------------+ | DEADLINES FOR SUBMISSIONS: | | Papers: 25. February 1994 Exhibits: 30. April 1994 | +------------------------------------------------------------+ The industry is entering the era of "intelligent" systems, i.e. products and technologies performing in an "intelligent" way or able to take over some of the human intellectual functions. After the prodigious market success of fuzzy logic in Japan, there is now a similar phenomenon featuring neural networks and, most recently, the so-called genetic (or evolutionary) algorithms. Closely concerned with the interests of industry, the Dortmund conference on fuzzy logic is once again enhancing its scope and addresses all the three great paradigms. We welcome contributions from industry as well as those from science. The topics of interest include, but are not limited to, the following: * fuzzy control * fuzzy decision support and optimization * fuzzy systems and hardware * fuzzy pattern recognition * neural networks * fuzzy neural networks * evolution strategies * genetic algorithms * evolutionary programming Please send first only an extended abstract of max. 3 pages by 25. February 1994 to the program committee chairman. You will be notified of acceptance or rejection by 18. March 1994. The final versions of accepted papers are intended to be published by Springer. The languages of the conference are german and english. Program Committee ----------------- S. F. Bocklisch, Techn. Univ. of Chemnitz R. Felix, FDZ, Dortmund M. Glesner, Techn. Univ. of Darmstadt K. Goser, University of Dortmund H. Hellendorn, Siemens, Muenchen H. Kiendl, University of Dortmund E. P. Klement, University of Linz R. Kruse, University of Braunschweig U. Lehmann, Maerkische FH Iserlohn B. Reusch, University of Dortmund (Chairman) H.-P. Schwefel, University of Dortmund V. van Seelen, University of Bochum J. Verdegay, University of Granada E. Trillas, INTA, Madrid Th. U. Vogel, Alcatel Alsthom Recherche, Marcoussis H. Werner, University of Kassel Organization ------------ * University of Dortmund Lehrstuhl Informatik I Prof. Dr. B. Reusch Dr. Norbert Jesse (Organization Chairman) D-44221 Dortmund, Germany Tel: ++49-231-755-6221 Fax: ++49-231-755-6555 E-mail: jesse@ls1.informatik.uni-dortmund.de * Fuzzy Demonstrations-Zentrum Dortmund im Informatik Centrum Dortmund e.V. Dr. Rudolf Felix Martin-Schmeisser-Weg 18 D-44227 Dortmund, Germany Tel: ++49-231-9744-755 Fax: ++49-231-9744-777 E-mail: felix@fuzzydo.uucp Tutorials --------- Prior to the conference there will be tutorials on fuzzy logic, evolutionary algorithms and neural networks. Exhibition ---------- People who want to present hardware, software (development tools or applications) or posters should contact the organizers until 30. April 1994. Supported By ------------ * Berkeley Initiative in Soft Computing (BISC) * Gesellschaft fuer Informatik (GI) * Informationstechnische Gesellschaft im VDE (ITG) * International Fuzzy Systems Association (IFSA) Europe * Spanish Association for Fuzzy Logic and Technologies (FLAT) * VDE/VDI-Gesellschaft Mikroelektronik (GME) * VDE/VDI-Gesellschaft Mess- und Automatisierungstechnik (GMA) -------------------------cut here--------------------------------------- ¥documentstyle[german]{article} ¥fboxrule0.5mm ¥textwidth 16.6cm ¥textheight 26.2cm ¥parindent 0cm ¥addtolength{¥evensidemargin}{-3.2cm} ¥addtolength{¥oddsidemargin}{-3.2cm} ¥addtolength{¥topmargin}{-4.8cm} ¥thispagestyle{empty} ¥sloppy ¥begin{document} ¥begin{center} {¥Large¥bf FINAL CALL FOR PAPERS¥¥ {¥LARGE¥bf 4th Dortmund Fuzzy Days ¥¥} Theme: Computational Intelligence ¥¥ (Fuzzy Logic, Neural Networks, Evolutionary Algorithms)¥¥ {6. - 8. June 1994} } ¥end{center} ¥ The industry is entering the era of ``intelligent'' systems, i.e. products and technologies performing in an ``intelligent'' way or able to take over some of the human intellectual functions. After the prodigious market success of fuzzy logic in Japan, there is now a similar phenomenon featuring neural networks and, most recently, the so-called genetic (or evolutionary) algorithms. Closely concerned with the interests of industry, the Dortmund conference on fuzzy logic is once again enhancing its scope and addresses all the three great paradigms.¥¥ We welcome contributions from industry as well as those from science. The topics of interest include, but are not limited to, the following:¥¥[0,5ex] ¥begin{minipage}[t]{8cm} ¥begin{tabular}{ll} $¥bullet$ & fuzzy control¥¥ $¥bullet$ & fuzzy decision support and optimization¥¥ $¥bullet$ & fuzzy systems and hardware¥¥ $¥bullet$ & fuzzy pattern recognition ¥end{tabular} ¥end{minipage} ¥begin{minipage}[t]{8cm} ¥begin{tabular}{ll} $¥bullet$ & neural networks¥¥ $¥bullet$ & fuzzy neural networks¥¥ $¥bullet$ & evolution strategies¥¥ $¥bullet$ & genetic algorithms¥¥ $¥bullet$ & evolutionary programming¥¥ ¥end{tabular} ¥end{minipage}¥¥[0.2ex] Please send only an extended abstract of {¥bf max.‾3 pages} by {¥bf 25.‾February‾1994} to the program committee chairman. You will be notified of acceptance or rejection by {¥bf 18.‾March‾1994}. The final versions of accepted papers are intended to be published by Springer. The languages of the conference are german and english. ¥¥[-1ex] ¥begin{center} {¥large¥bf Program Committee} ¥¥[-0.2ex] ¥end{center} ¥begin{minipage}{8cm} ¥begin{tabular}[t]{ll} S. F. Bocklisch & Techn. Univ. of Chemnitz¥¥ R. Felix & FDZ, Dortmund¥¥ M. Glesner & Techn. Univ. of Darmstadt¥¥ K. Goser & University of Dortmund¥¥ H. Hellendorn & Siemens, M"unchen¥¥ H. Kiendl & University of Dortmund¥¥ E. P. Klement & University of Linz ¥¥ R. Kruse & University of Braunschweig ¥end{tabular} ¥end{minipage}¥hfill ¥begin{minipage}[t]{8cm} ¥begin{tabular}{ll} U. Lehmann & M"arkische FH Iserlohn¥¥ B. Reusch & University of Dortmund {¥bf (Chairman)}¥¥ H.-P. Schwefel & University of Dortmund¥¥ V. van Seelen & University of Bochum¥¥ J. Verdegay & University of Granada¥¥ E. Trillas & INTA, Madrid¥¥ Th. U. Vogel & Alcatel Alsthom Recherche, Marcoussis¥¥ H. Werner & University of Kassel ¥end{tabular} ¥end{minipage} ¥¥[0.4ex] ¥begin{center} {¥large¥bf Organization} ¥¥[-0.4ex] ¥end{center} ¥begin{minipage}[t]{8cm} University of Dortmund¥¥ Lehrstuhl Informatik I¥¥ Prof. Dr. B. Reusch¥¥ Dr. Norbert Jesse (Organization Chairman)¥¥ D-44221 Dortmund, Germany¥¥ {¥sc¥bf Tel:} ++49-231-755-6221¥¥ {¥sc¥bf Fax:} ++49-231-755-6555¥¥ {¥sc¥bf E-mail:} jesse@ls1.informatik.uni-dortmund.de ¥end{minipage}¥hfill ¥begin{minipage}[t]{8cm} Fuzzy Demonstrations-Zentrum Dortmund im Informatik Centrum Dortmund e.V.¥¥ Dr. Rudolf Felix¥¥ Martin-Schmei"ser-Weg 18¥¥ D-44227 Dortmund, Germany¥¥ {¥sc¥bf Tel:} ++49-231-9744-755¥¥ {¥sc¥bf Fax:} ++49-231-9744-777¥¥ {¥sc¥bf E-mail:} felix@fuzzydo.uucp ¥end{minipage} ¥¥[0.2ex] ¥begin{center} {¥large¥bf Tutorials} ¥¥[-0.2ex] ¥end{center} Prior to the conference there will be tutorials on fuzzy logic, evolutionary algorithms and neural networks. ¥¥[0.2ex] ¥begin{center} {¥large¥bf Exhibition} ¥¥[-0.2ex] ¥end{center} People who want to present hardware, software (development tools or applications) or posters should contact the organizers until {¥bf 30.‾April‾1994}. ¥begin{center} {¥large¥bf Supported By} ¥end{center} ¥small ¥begin{tabular}{rp{7,2cm}} $¥bullet$ & Berkeley Initiative in Soft Computing (BISC)¥¥ $¥bullet$ & Gesellschaft f"ur Informatik (GI)¥¥ $¥bullet$ & Informationstechnische Gesellschaft im VDE (ITG)¥¥ $¥bullet$ & International Fuzzy Systems Association (IFSA) Europe ¥end{tabular} ¥hfill ¥begin{tabular}{rp{7,2cm}} $¥bullet$ & Spanish Association for Fuzzy Logic and Technologies (FLAT)¥¥ $¥bullet$ & VDE/VDI-Gesellschaft Mikroelektronik (GME)¥¥ $¥bullet$ & VDE/VDI-Gesellschaft Me"s- und Automatisierungstechnik (GMA) ¥end{tabular} ¥end{document} ------------------------------ From wzq@mzlab2.osakac.ac.jp Fri, 28 Jan 1994 12:11:59 +0900 Date: Fri, 28 Jan 94 12:11:59 +0900 From: Wu Zhi Qiao Subject: Original Reference to Sugeno Type controller Dear colleagues, In recent research on fuzzy controller, the simplified type of fuzzy cotroller in which the consequent parts of the control rules are crisp (real number) instead of fuzzy sets has been called the Sugeno Type controller in many literatures. Could anyone point me to the refereces or technical report in which it was originaly proposed? Thank you! Wu Zhi Qiao (Dr.) Mizumoto Lab Dept. of Management Engineering Osaka Electro-communication University Neyagawa, Osaka 572, Japan Tel: (0720)20-4569 Fax: (0720)24-0014 Email: wzq@mzlab2.osakac.ac.jp ------------------------------ From johnw@WATER.EE.NSYSU.EDU.TW Fri, 28 Jan 1994 12:50:05 CST Date: Fri, 28 Jan 1994 12:50:05 CST From: Chih-Hung Wu Subject: Re: Fuzzy membership functions question A common method we used in our work is to define a symbolic term to be a collection of other symbolic/numberic terms, such as: EXECENT = {class_A = good and class_B = good and class_c = good.....} GOOD(A) = score(class_A) about 80% ......... In other words, to deinfe your symbolic terms in hierarchy with the numeric terms at the bottom of the hierarchy. Objective definitions are needed, of course. May this can help. Chih-Hung Wu ------------------------------ From glen@eecs.berkeley.edu Fri, 28 Jan 1994 16:09:14 -0800 Date: Fri, 28 Jan 1994 16:09:14 -0800 From: Glen Ozawa Subject: BISC Siemens Fellowship (correction) ***Please note correction below: From glen@diva.EECS.Berkeley.EDU Fri Jan 28 15:16:53 1994 Date: Fri, 28 Jan 1994 15:08:26 -0800 From: Glen Ozawa To: bisc-group@diva.EECS.Berkeley.EDU Subject: BISC Siemens Fellowship =================================================================== TO: BISC Group FROM: L.A. Zadeh As one of the Founding Members of BISC, Siemens Corporation is providing support for BISC Siemens Fellowship for advanced doctoral *** --> students or postdocs. If you are interested in applying for the fellowship, please contact me in any way that is convenient for you. mail: Professor L.A. Zadeh Computer Science Division 561 Evans Hall University of California Berkeley, CA 94720 e-mail: zadeh@cs.berkeley.edu tel: (510) 642-4959 fax: (510) 642-5775 Please provide me with your resume and other relevant information about yourself. =================================================================== ------------------------------ From M.F.Abbod@sheffield.ac.uk 29 Jan 1994 10:44:36 BST Date: 29 Jan 94 10:44:36 BST From: M.F.Abbod@sheffield.ac.uk Subject: Fuzzy Inference Systems toolbox for MATLAB This is the original message for fuzzy tool box for matlab. M.Abbod, --------------------- Hi netter, I announced that Fuzzy Inference Systems toolbox for MATLAB is available last week. I have been surprised by vast response from different group of users. At first I tried to post the files individually based on the request. It seems a very tough job for me now and I decided to keep the files in an anonymous ftp site. Since the programs have been tested on MATLAB version 4.1, Sun workstation, some of users who are interested to work with PC asked me to take into account this point. I have done some modification and now PC users are also able to use this toolbox. HOW TO GET FISMAT The "Fuzzy Inference Systems toolbox for MATLAB" is available via anonymous FTP from: SERVER: ftp.mathworks.com [144.212.100.10] FILE: /pub/contrib/misc/fuzzy_inference_systems.sh or (for PC), /pub/contrib/misc/pc_fuzzy_inference_systems.sh This is a shell archive (produced by shar 3.50). To extract the files from this archive type "sh file_name". Upon competition, a new directory "fismat" will be created on your working directory. SUMMARY Fuzzy inference systems toolbox for MATLAB ,FISMAT, accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure. To have a quick review of FIS and become familiar with developed functions, a demonstration file "fisdemo.m" is provided. Therefore after retrieving the files it is recommended to go through different part of demo. The demonstration includes fuzzy controller demo which investigate three well-known examples in control systems. These are truck backer-upper control, inverted pendulum system (cart-pole), and temperature and humidity control of a bathroom. To become familiar with terminology used for FIS and also the list of references for each function, a postscript file "fismat.ps" also provided. NOTE: It is to be noted that FISMAT is a public domain program, therefore no one is allowed to sell or re-distribute the programs with his/her name. The permission for revision and re-distribution is given subject to keep the header (s) of functions. I am looking forward to hear your suggestion, comments or any possibly errors. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ A. Lotfi Department of Electrical and Computer Engineering University of Queensland Tel: 61 7 3654138 Qld., Australia Fax: 61 7 3654999 Email: lotfia@s1.elec.uq.oz.au ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ------------------------------ From khedkar@merak.crd.ge.com 29 Jan 1994 16:45:11 GMT Date: 29 Jan 94 16:45:11 GMT From: khedkar@merak.crd.ge.com (Pratap Khedkar) Subject: WCCI 94: Symposium on IMITATING LIFE : Prelim. Program IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE ORLANDO, FLORIDA, JUNE 26-JULY 2, 1994 Walt Disney Word Dolphin Hotel PRELIMINARY PROGRAM FOR THE SYMPOSIUM ****************************************** COMPUTATIONAL INTELLIGENCE: IMITATING LIFE ****************************************** JUNE 27 - JULY 1, 1994 (for further info contact the Meeting Management ph: 714-752-8205, fax 714-752-7444 e-mail: 70750.345@CompuServe.com) The Symposium addresses critical and emerging technologies and issues relating to biologically, psychologically, and linguistically motivated models that exhibit various facets of computational intelligence. The paradigms discussed include learning, reasoning, evolution, search, and optimization each of which often uses life imitating metaphors for guiding model building. Machine learning from data, neural and fuzzy information processing, approximate reasoning, and evolutionary computation, are examples of computational intelligence approaches addressed by Symposium speakers. The Symposium provides a unique forum for cross-fertilization between the areas of neural networks, fuzzy logic, and evolutionary computing. Symposium presentations are explicitly targeted towards the identification of challenges, issues, and potential solutions for problems arising in computational intelligence. The Symposium consists of 3 public lectures, 10 plenary talks and 30 mini-symposia presentations, covering Neural Networks (21), Fuzzy Logic (13) and Evolutionary Computation (9). Contributions include recent research that has implications for further progress, state-of-the-art reviews, and discussions of important applications in fields such as biology, signal and imaging processing, robotics and control. Presenters have been chosen from academia and industry and represent the leaders in their fields from throughout the world. The Symposium Proceedings "Computational Intelligence: Imitating Life," will be published and available at the Congress for each participant. Proceedings will later be distributed by the IEEE Press. ****************************************** Part I: SYMPOSIUM LECTURES M0N-FRI 10:20am - 12:40 pm ****************************************** Genetic Algorithms: A 25 Year Perspective, Kenneth DeJong, George Mason University Evolutionary Programming In Perspective, Lawrence Fogel, L. J. Fogel, Ph.D., Inc., La Jolla, California Genetic Algorithms for Optimization: Three Case Studies, Lawrence Davis, Tica Associates, Cambridge, Massachusetts Beyond AI Winter: The Double Helix of AI and Alife, Hiroaki Kitano, Sony Computer Science Laboratory, Inc., Japan How to Improve GA-Performance for Combinatorial Optimization Problems by Analyzing Their Fitness Landscape, Bernard Manderick, Erasmus University Rotterdam, The Netherlands Theory and Applications of the Breeder Genetic Algorithm, Heinz Muehlenbein, Germany Evolution Strategy, Ingo Rechenberg, Technische Universitaet Berlin, Germany Combinations of Genetic Algorithms with NNs or Fuzzy Systems, David Schaffer, Philips Laboratory, Briarcliff Manor, New York Similarity-Based Approximate Reasoning, Henri Prade, Universite Paul Sabatier, France Hybrid Approaches for Fuzzy Data Analysis and Configuration Using Genetic Algorithms and Evolutionary Methods, Hans J. Zimmermann, Aachen Institute of Technology, Germany Reasoning Under Uncertainty and Learning in Knowledge Based Systems: Imitating Human Problem Solving Behavior, Ramon Lopez de Mantaras, Girona, Spain Fuzzy Systems that Can Learn, Hamid Berenji, NASA Ames Research Center, Moffett Field, California Integration of Fuzzy Logic Within Hierarchically Structured Control Systems, Reza Langari, Texas A & M University Fuzzy Logic Controllers: An Industrial Reality, Piero P. Bonissone, General Electric, Schenectady, New York A Neo Fuzzy Neuron and its Application to System Identification and Expectation of Chaotic Behavior, Takeshi Yamakawa, Kyushu Institute of Technology, Fukuoka, Japan Qualitative Modelling Based on Numerical Data and Knowledge Data, and its Application to Control, Michio Sugeno, Tokyo Institute of Technology, Yokohama, Japan What Is Computational Intelligence, James C. Bezdek, University of West Florida Computational Intelligence in High Level Computer Vision: Determining Spatial Relationships, James Keller, University of Missouri-Columbia Fuzzy Modelling: Methodology, Algorithms, and Practice, Witold Pedrycz, University of Manitoba, Canada Learning as Adaptive Interpolation in Neural Fuzzy Systems, Pratap Khedkar, General Electric, Schenectady, New York Fuzzy-Neuro-GA Based Intelligent Robotics, Toshio Fukuda, Nagoya University, Japan Self-Generation of Neural Net Controller by Training In Natural Environment, Teruo Fujii, The University of Tokyo, Japan Learning Control Aspects In Terms of Neuro-Control, Tetsuro Yabuta, NTT, Japan Learning of Neural Controllers in Intelligent Control Systems, Sigeru Omatu, The University of Tokushima, Japan Visual Learning of Objects: Neural Models of Shape, Color, Motion and Space, Allen Waxman, MIT Lincoln Laboratory Unsupervised Learning for Feature Extraction, Erkki Oja, Helsinki University of Technology, Finland Neural Networks and Pattern Recognition, Anil K. Jain, Michigan State University Neural Representations of Space in Rats and Robots, David Touretzky, Carnegie Mellon University Computational Color Vision Model by Neural Networks, Shiro Usui, Toyohashi University of Technology, Japan Status of Auditory Modeling Research and its Relationship to Automatic Speech Recognition, Karen Payton, University of Massachusetts at Dartmouth Neural Network Theory - Early Payoffs and New Challenges, Robert Hecht-Nielsen, HNC, Inc., San Diego, California Neural Networks For Time Series, John Moody, Oregon Graduate Institute of Science and Technology, Beaverton, Oregon Biology-Inspired Pulse Processing Neural Nets With Adaptive Weights & Delays - Concept Sources From Neuroscience Vs. Applications in Industry and Medicine, Rolf Eckmiller, University of Bonn, Germany New Paradigms in Technology Transfer, Joseph R. Brown, Microelectronics and Computer Technology Corp., Austin, Texas Why Does TD-Gammon Learn So Well, Gerald Tesauro, IBM Thomas J. Watson Research Center, Yorktown, New York Neurobiological Computational Systems, Charles H. Anderson, Washington University Neural Computing Technology Transfer - A UK Government Programme, Robert A. Wiggins, Department of Trade and Industry, London, England Integrating Neural Networks For Real World Applications, Francoise Fogelman, SLIGOS - CSIA/LRN, France Biomedical Applications of Computational Intelligence, Russell Eberhart, Research Triangle Institute, Research Triangle Park, North Carolina Visual Preprocessing, George Sperling, University of California, Irvine ****************************************** Part II: PUBLIC LECTURES ****************************************** On the Evolution of Evolutionary Computation, Hans-Paul Schwefel, University of Dortmund, Germany No title available as of this date, Lofti Zadeh, University of California, Berkeley How Captain Amerika Uses Neural Networks To Fight Crime, Steven K. Rogers, Air Force Institute of Technology, Wright-Patterson AFB, Ohio ****************************************** Symposium Coordinator: Dr. Jacek M. Zurada Samuel T. Fife Alumni Professor of Electrical Engineering University of Louisville, Louisville, KY 40292 (502) 588-6314 (voice, till Dec.31,1993 *** (502) 852-6314 after Jan.1,1994 (502) 588-6807 (fax), till Dec.31,1993 *** (502) 852-6807 after Jan.1,1994 jmzura02@ulkyvx.louisville.edu ****************************************** ------------------------------ From v.dimitrov@uws.edu.au Mon, 31 Jan 1994 21:19:11 +1000 Date: Mon, 31 Jan 1994 21:19:11 +1000 From: v.dimitrov@uws.edu.au (Vladimir Dimitrov) Subject: fuzzy clustering Hello, I want to explain in quite some detail (i.e. for idiots) how one might use fuzzy methods to cluster items (of text). Does sombody know where (in which book or article) I can find such an explanation? Or maybe sombody can send me his(her) own original explanation? My address is: v.dimitrov@uws.edu.au ------------------------------ From jitshiew@iti.gov.sg Mon, 31 Jan 1994 10:06:11 GMT Date: Mon, 31 Jan 1994 10:06:11 GMT From: jitshiew@iti.gov.sg (Han Jit Shiew) Subject: enquiry on automated character recognition system Is everybody know any commerical character recognition system used to recognise thousands of different handwriting in the market ? If you do know, I would appreciate it very much if you can tell me the product name and which company that I can contact. Thank you. My E-mail address is jitshiew@ncb.gov.sg ------------------------------ From jverdegay@ugr.es Mon, 31 Jan 1994 11:32:02 +0100 Date: Mon, 31 Jan 1994 11:32:02 +0100 From: "J.L. Verdegay" Subject: III FLAT Congress The III Spanish Congress on Fuzzy Logic and Technologies took place in Santiago de Compostela, Spain, from September 30 to October 2. It was organized by the Department of Electronics and Computation and the Department of Logic and Philosophy of the Science of the University of Santiago de Compostela with the support of the Spanish Association for Fuzzy Logic and Technologies (FLAT). Since it was a national congress all regular presentations were in spanish. The congress was held at the Faculty of Physics facilities, and the local organizers were Dr. S. Barro and Dr. A. Sobrino. Book proceedings, published in spanish and financed by OMRON Electronics, were available for the Congress since first day. The 120 attendees saw the presentation of 43 working papers, two demonstration sessions (by OMRON Electronics and Fuzzy Demonstrations- Zentrum im Informatik Centrum Dortmund) and two invited conferences: the opening one by Prof. R.R. Yager on Fuzzy Logic and Neural Networks, and the closing one by Prof. E. Trillas on Predicates as Magnitudes. In this report the titles of the works presented as well as the authors and their addresses are provided. People interested in some of these articles can contact the corresponding author. 1.- Extension of Fuzzy Relations L. Gonzalez and A. Marin Dept. Matematica e Informatica. Universidad Publica de Navarra Campus Arrosadia, 31006 Pamplona (Spain) 2.- An Experimental Model to Determine the Structure of a Rule A. Gonzalez and R. Perez (gonzalez@robinson.ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 3.- A General Model to Learn Rules in a Fuzzy Environment A. Gonzales and R. Perez (gonzalez@robinson.ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 4.- Approximating Causal Nets by Polytrees L. de Campos and J.F. Huete (lci@robinson.ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 5.- Fuzzy Interval-Valued Relations P. Burillo and H. Bustince Dept. Matematica e Informatica. Universidad Publica de Navarra Campus Arrosadia, 31006 Pamplona (Spain) 6.- Eigen Fuzzy Sets Associated to Symmetric and Decomposable Relations M.J. Fernandez and F. Suarez Dept. Matematicas. Universidad de Oviedo 33007 Oviedo (Spain) 7.- Aggregation of T-Norms G. Mayor, T. Calvo and J. Torrens Dept. Matematicas e Informatica. Universidad de las Islas Baleares 07071 Palma de Mallorca (Spain) 8.- Fuzzy Preorders, Indistinguishabilities and Fuzzy Logic-States E. Trillas(1), S. Cubillo (2) and A. Rodriguez (3) (1) Dept. Inteligencia Artificial. Facultad de Informatica Campus de Montegancedo. Boadilla del Monte 28660 Madrid (Spain) (2) Dept. Matematica Aplicada. Facultad de Informatica Campus de Montegancedo. Boadilla del Monte 28660 Madrid (Spain) (3) Area de Estadistica e I.O. EUE Empresariales Jardin de San Francisco 24071 Leon (Spain) 9.- The Granularity Level in Fuzzy Data Bases J.C. Cubero, J.M. Medina and M.A. Vila (carlos@robinson.ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 10.- Adaptive Management of Communication Systems D. Maravall Dept. Inteligencia Artificial. Facultad de Informatica Campus de Montegancedo. Boadilla del Monte 28660 Madrid (Spain) 11.- A Decision-Makers's Personal Index for Comparison of Fuzzy Numbers Based on Artificial Neural Networks I. Requena, M. Delgado and J.L. Verdegay (requena@robinson.ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 12.- PROBO: An Interactive Decision Support System to Solve Fuzzy Linear Programming Problems J.M. Cadenas(*), F. Herrera and J.L. Verdegay (jcadenas@dif.um.es) (*) Dept. Informatica y Automatica Universidad de Murcia 30071-Espinardo, Murcia (Spain) 13.- Some Comments on the Evolution of Fuzzy-Prolog Machines M. Adan, J.A. Olivas and A. Sobrino (usc.lo.asc@cesga.es) Area de Logica y Filosofia de la Ciencia Campus Universitario 15706 Santiago de Compostela (Spain) 14.- Media Allocation in IncendIA by Fuzzy Logic Techniques R. Lago(*), A. Sobrino and J.A. Olivas (*) PPM Centro de Estudios Avda. Vi$uelas 17 28760 Tres Cantos, Madrid (Spain) 15.- A Fuzzy Reinforcement Chain of the Entailment Logic L. Pe$a (lavinius@cc.csic.es) Instituto de Filosofia del C.S.I.C. Foresta 17 28760 Tres Cantos, Madrid (Spain) 16.- Inference Using Fuzzy Rules from a Fuzzy Data Base O. Pons, M.A. Vila and M. Delgado (opc@robinson.ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 17.- An ATM for Fuzzy Logic J.L. Castro and J.M. Zurita (jcastro@ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 18.- Covering Degree for Fuzzy Partitions J. Aguilar-Martin (aguilar@laas.fr, aguilar@esaii.upc.es) Dept. ESAII - UPC- ETSEIT Colom 11 08222 Tarrasa (Spain) 19.- Application of L-Fuzzy Techniques to the Formal Representation of the Conceptual Knowledge A. Burusco and R. Fuentes Dept. Matematica e Informatica. Universidad Publica de Navarra Campus Arrosadia, 31006 Pamplona (Spain) 20.- On a Class of Computable W-Functions R. Morales, J.L. Perez, B. Clares and R. Conejo (morales@ctima.uma.es) Dept. Lenguajes y Sistemas Informaticos Facultad de Informatica. Universidad de Malaga 29071 Malaga (Spain) 21.- Consensus of Triangular Membership Functions V. Torra (fibels15@lsi.upc.es) ETSE. Universidad Rovira y Virgili Carretera de Salou 43007 Tarragona (Spain) 22.- Fuzzy Numbers and Equality Relations J. Jacas and J. Recasens (jacas@ea.upc.es) Sec. Matematicas e Informatica ETSA - UPC Diagonal 649 08028 Barcelona (Spain) 23.- Modeling by Fuzzy Logic a Perception Process of Justice: A Case Study E. Barbera and P. Albertos (pedro@aii.upv.es) Dept. Psicologia Basica Facultad de Psicologia Avda. Blasco Iba$ez 21 46010 Valencia (Spain) 24.- A Model of Fuzzy Mathematical Programming to Optimize the Economic Dispatch of Electrical Power A. Espin Dept. Ingenieria Electrica ETSI Caminos. Universidad de Granada 18071 Granada (Spain) 25.- Fuzzy Preferences in Economy J.L. Garcia-Lapresta (lapresta@cpd.uva.es) Dept. Economia Aplicada. Universidad de Valladolid Avda. Valle de Esgueva 6 47011 Valladolid (Spain) 26.- Analysis of Characteristiques and their Implications in an Education Environment C. Hervas, J.A. Gavilan, M.D. Villatoro and J.M. Hernandez Escuela Universitaria Politecnica Avda. Menendez Pidal sn 14004 Cordoba (Spain) (e-mail: ma1hemac@lucano.uco.es) 27.- A Model to Represent Fuzzy Temporal Information R. Marin(1), S. Barro(2), A. Bosch(3), I. Navarrete(1) M. Cardenas(1), A. Bugarin(2) and J. Mira(4) (1) Dept. Informatica y Automatica. Universidad de Murcia. Murcia (Spain) (2) Dept. Electronica y Computacion. Universidad de Santiago. Santiago de Compostela, Facultad de Fisica, 15706 Santiago de Compostela (Spain) (3) Dept. Lenguajes y Sistemas Informaticos. E.U. Politecnica. Universidad de Almeria. Almeria (Spain) (4) Dept. Informatica y Automatica. Facultad de Ciencias. UNED. Madrid (Spain) 28.- Autotuning of Fuzzy Controllers using Classical Techniques based on PID Regulators S. Dormido, M. Santos, A. Perez de Madrid and F. Morilla Dept. Informatica y Automatica. Facultad de Ciencias. UNED. Madrid (Spain) (e-mail: Matilde.Santos@human.uned.es) 29.- Neuro-Fuzzy Applications with Adaptive Techniques to the Balance Control of a Spatial Vehicle R. Ferreiro, B. Rodriguez Dept. Electronica y Sistemas. ESMC. Universidad de La Coru$a Paseo de Ronda 51 15011 La Coru$a (Spain) 30.- Linear Systems of Fuzzy Dynamic F. Matia, A. Jimenez and R. Camara Dept. Automatica, Ing. Electronica e Informatica Industrial Universidad Politecnica de Madrid J. Gutierrez Abascal 2 28006 Madrid (Spain) 31.- Automatic Extraction of Rules in a Fuzzy Control System L. Sanchez, J. Tuya and J.C. Alvarez (luciano@etsiig.uniovi.es) Escuela Tecnica Superior de Ingenieros Industriales Universidad de Oviedo Gijon (Spain) 32.- A Genetic Algorithm to Tune Fuzzy Controllers F. Herrera, M. Lozano and J.L. Verdegay (fherrera@ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 33.- A Comparative Study of Inference Systems and Defuzzification Methods in the Inverted Pendulum Fuzzy Control E. Cardenas, J.C. Castillo, O. Cordon and A. Peregrin Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 34.- Fuzzy Control of Autonomous Response Systems A. Sanz (idea@cc.unizar.es) Grupo de Bioingenieria. Area de Tecnologia Electronica Centro Politecnico Superior de Ingenieros de Zaragoza Universidad de Zaragoza Maria de Luna 3 50015 Zaragoza (Spain) 35.- Architectures for Fuzzy-Logic-Based Control Systems S. Sanchez-Solano, I. Baturone, A. Barriga and J.L. Huertas Dept. Dise$o de Circuitos Analogicos Centro Nacional de Microelectronica. Universidad de Sevilla Sevilla (Spain) 36.- Systolic Solution to the Rule-by-Rule Evaluation of Fuzzy Knowledge Bases A. Bugarin, S. Barro and R. Ruiz(1) Dept. Electronica y Computacion. Facultad de Fisica Universidad de Santiago de Compostela 15706 Santiago de Compostela (Spain) (1) Dept. Ingenieria Electromecanica ETSII Cartagena Universidad de Murcia 30203 Cartagena (Spain) 37.- Deformed Machines in Pattern Recognition J. Etxanove, J.R. Garitagoitia, J.R. Gozalez de Mendivil and R. Reina Dept. Electricidad y Electronica. Universidad del Pais Vasco Apdo. 644 48080 Bilbao (Spain) 38.- Fuzzy Correspondence in Stereoscopic Vision G. Pajarez, R. Pereira, J. Rives and J.A. Diaz (jrives@inisel.es) INISEL Apdo. 294 Torrejon de Ardoz 28850 Madrid (Spain) 39.- Detection of Break Points in Plane Geometric Figures by Using Fuzzy Algorithms G. Oliver(1), P. Sobrevilla(2) and E. Montseny(3) (1) Dept. Matematica Aplicada e Informatica Universidad de las Islas Baleares Palma de Mallorca (Spain) (2) Dept. Matematica Aplicada II. UPC Pau Gargallo 5 08028 Barcelona (3) Dept. Ingenieria Informatica Universidad Rovira i Virgili Ctra. de Salou sn 43006 Tarragona (Spain) 40.- Decision-Making and Linguistic Utilities M.T. Lamata and S. Moral (mlamata@ugr.es) Dept. Ciencias de la Computacion e I.A. Universidad de Granada 18071 Granada (Spain) 41.- Electronic Implementation of a Systolic Architecture for Fuzzy Control R. Ruiz(1), A. Bugarin(2), S. Barro(2) and J.C. Martinez(1) (1) Dept. Ingenieria Electromecanica ETSII Cartagena Universidad de Murcia 30203 Cartagena (Spain) (2) Dept. Electronica y Computacion. Facultad de Fisica Universidad de Santiago de Compostela 15706 Santiago de Compostela (Spain) 42.- On Partial Multivalued Logics and its Application to Knowledge-Based Modular Systems F. Esteva, P. Garcia and L. Godo (esteva@ceab.es) Instituto de Investigacion en Inteligencia Artificial - CSIC Cami de Santa Barbara sn 17300 Blanes, Gerona (Spain) 43.- Communication, Translation and Fuzzy Numbers L. Perez Gonzalez and M.V. Rodriguez EU. EE. EE. Jovellanos Ramiro de Maeztu 1 33201 Gijon, Oviedo (Spain) Additionally the General Assembly of FLAT was held. It was decided to appoint Prof. L.A. Zadeh as Honorary President of the Association, as well as to hold the IV Congress, hosted by the Institute for Research in Artificial Intelligence at Blanes, next September 1994 (A call for papers is being sent to FLAT's members). As english contributions can be accepted, people interested in attend this IV Congress can contact the General Chairman of the Congress: Prof. F. Esteva IV Congreso Espa$ol sobre Tecnologias y Logica Fuzzy IIIA - CSIC CEAB Cami de Santa Barbara 17300 Blanes, Girona (Spain) Tel: +34.72.336101, Fax: +34.72.337806, e-mail: flat94@ceab.es Finally the Principal Editor of the new journal MATHWARE AND SOFT COMPUTING, Prof. J. Jacas, informed the assembly on the Editorial Board, aims and scope of the Journal, etc., which first issue will appear this year. J.L. Verdegay e-mail: flat@robinson.ugr.es,verdegay@robinson.ugr.es ------------------------------ End of Digest ************************ Contents: Re: Original Reference to Sugeno Type controller (mo@umiacs.umd.edu (Song-Feng Mo)) Kahaner Report: First Asian Fuzzy Systems Symposium, Singapore 11/93 (rick@cs.arizona.edu (Rick Schlichting)) Kahaner Report: Demonstration of unmanned helicopter with fuzzy control (rick@cs.arizona.edu (Rick Schlichting)) from L.A. Zadeh (BISC Institutional Affiliates) (Glen Ozawa ) fuzzy sensing (wsimpson@uwpg02.uwinnipeg.ca) Re: Fide 2.0 demo at FTP site (mkant+@cs.cmu.edu (Mark Kantrowitz)) Re: Inverted Pendulum FAMs (sourav@control.prec.metro-u.ac.jp (Sourav Kundu)) CFP: ConTI'94, Timisoara, Romania (Gabriel.Climescu@seco.unine.ch) Call for papers, Proceedings of the IEEE (Steve Chiu ) ---------------------------------------------------------------------- From mo@umiacs.umd.edu 31 Jan 1994 09:51:52 -0500 Date: 31 Jan 1994 09:51:52 -0500 From: mo@umiacs.umd.edu (Song-Feng Mo) Subject: Re: Original Reference to Sugeno Type controller In article <9401280312.AA13268@mzlab2.osakac.ac.jp> fuzzy-mail@vexpert.dbai.tuwien.ac.at writes: > >In recent research on fuzzy controller, the simplified type of >fuzzy cotroller in which the consequent parts of the control >rules are crisp (real number) instead of fuzzy sets has been >called the Sugeno Type controller in many literatures. Could >anyone point me to the refereces or technical report in which >it was originaly proposed? > > Wu Zhi Qiao (Dr.) Prof. Sugeno presented a Fuzzy Control paper in IFSA'93. He can be reached at following address: Prof. M. Sugeno Systems Science Dept. Tokyo Institute of Technology 4259 Nagatsuta, Midori_Ku Yokohama 227, Japan. Good luck. ------------------------------ From rick@cs.arizona.edu 31 Jan 1994 11:57:05 -0700 Date: 31 Jan 1994 11:57:05 -0700 From: rick@cs.arizona.edu (Rick Schlichting) Subject: Kahaner Report: First Asian Fuzzy Systems Symposium, Singapore 11/93 [Dr. David Kahaner is a numerical analyst on sabbatical to the Office of Naval Research-Asia (ONR Asia) in Tokyo from NIST. The following is the professional opinion of David Kahaner and in no way has the blessing of the US Government or any agency of it. All information is dated and of limited life time. This disclaimer should be noted on ANY attribution.] [Copies of previous reports written by Kahaner can be obtained using anonymous FTP from host cs.arizona.edu, directory japan/kahaner.reports.] From: Dr. David K. Kahaner US Office of Naval Research Asia (From outside US): 23-17, 7-chome, Roppongi, Minato-ku, Tokyo 106 Japan (From within US): Unit 45002, APO AP 96337-0007 Tel: +81 3 3401-8924, Fax: +81 3 3403-9670 Email: kahaner@cs.titech.ac.jp Re: First Asian Fuzzy Systems Symposium, Singapore 11/93. 01/26/94 (MM/DD/YY) This file is named "afss-93.94" ABSTRACT. The First Asian Fuzzy Systems Symposium (AFSS), held in Singapore, 23-26 November, 1993 is summarized. A brief visit at the Institute of Systems Science, The National University of Singapore is described. I wish to acknowledge, with gratitude, that this comprehensive report was prepared by Dr. Laszlo T. Koczy LIFE Chair of Fuzzy Theory Dept. of Systems Science, Tokyo Institute of Technology 4259 Nagatsuta, Midori-ku, Yokohama 227, Japan Tel: +81-45-922-1111 ext. 2699 or 2192 Fax: +81-45-922-1385 Email: KOCZY@SYS.TITECH.AC.JP INTRODUCTION. Fuzzy sets were first mentioned in 1965 by Zadeh (University of California, Berkeley). The first engineering application (linguistic fuzzy controller for a highly nonlinear steam engine system) was done in 1974 by Mamdani (University of London). Industrial applications appeared en masse first in Japan from the mid 1980's (Sendai subway system, various home electronics goods and home appliances, industrial processes, etc.). At the present time, most existing applications are still by Japanese companies, and the majority of other applications by other Asian countries, especially Korea. [See also my reports, "copt-fuz.93" 12 Apr 1993, "fuzzy5.93" 4 Jun 1993, "soft.93a" "soft.93b" 2 Aug 1992, "helicopt.92" 24 Jan 1992, "fuzzy.92" 22 Dec 1992, and "iizuka.92" 22 Dec 1992, DKK]. Fuzzy research in Singapore started several years ago when the Institute of Systems Science (ISS) and some other departments of the National University of Singapore (NUS) started to build up some research groups in various fields of soft computing including fuzzy logic. Besides the NUS, there is sporadic interest at the Singapore's other colleges, and there are a few companies (mainly daughter companies of Japanese firms) which are secondarily involved in fuzzy research to some extent (as e.g., MYCOM Technology (Singapore) Pte. Ltd.). FIRST ASIAN FUZZY SYSTEMS SYMPOSIUM (AFSS) The idea of bringing together fuzzy scientists and company engineers from the Asian region where most of the application oriented fuzzy research is going on seems to be natural. Although the industrial applications still are concentrated mainly in Japan, there growing interest in many other - especially Eastern and South Eastern Asian - countries in both theoretical and applied research in the field, among them in Singapore, where in the past years a small but very strong group of fuzzy researchers (mainly of PR Chinese origin) was built up, and has conducted fuzzy research responding to local application needs (as e.g. by the Singapore Port Authority). Although this series of conferences began outside Japan, more than 50% of the participants were Japanese, and the scientific conference preparations were also in the hands of Prof Masao Mukaidono from the Meiji University in Tokyo, one of the most renowned Japanese fuzzy scientists, currently the President of SOFT, the Japanese fuzzy society. The general chair, Dr. Juzar Motiwalla (Director of ISS) and the organizing committee chair Prof. Pei-Zhuang Wang were both from the ISS, NUS. Pei-Zhuang is Head of Department at the Beijing Normal University and long term visiting scientist at the ISS, and is one of the great names in the international fuzzy research: Prof. Pei-Zhuang Wang Research Staff Institute of Systems Science National University of Singapore Heng Mui Keng Terrace, Kent Ridge Singapore 0511 Tel: +65-772-2543; Fax: +65-778-2571 Email: PZWANG@ISS.NUS.SG [For information about copies of AFSS Proceedings, contact Wang or Motiwalla, DKK.] The international program committee of the conference included 10 names from Japan, 14 from PR China, 10 from Singapore, 6 from Korea, 3 from India, and one each from Hong Kong, Iran and Turkey. These numbers do not conform with the distribution of the participants, as e.g. there was no attendance from Turkey, but a considerable number of Taiwanese participants appeared (where recently a local fuzzy society was established, and where also a very intensive interest in fuzzy research has been developing in the recent years. For further information on the Taiwan fuzzy society contact Dr. Jyou-Min Shyu Deputy Director Computer Systems Technology Division Computer & Communication Research Laboratories Industrial Technology Research Institute X000, Bld. 14., 195 Sec. 4, Chung Sing Rd. Chutung, Hsinchu, Taiwan 310, R.O.C.) There were no participants from nearby Malaysia or Thailand, although in both countries there are a few fuzzy researchers. India was also under represented with a single attendant (Dr. Nikhil R. Pal, Calcutta); the Indian Statistical Institute at New Delhi and Calcutta has a considerable number of internationally well known associates working in the field (S. Pal, Majumder, Puri). On the other hand, there were quite a few Australian scientists, many from the US, and even some European participants, all giving the meeting a more than regional character. PROGRAM. The keynote speaker of the opening day was Zadeh, the founder of fuzzy logic. His talk gave an overview of the state of the art and present trends in fuzzy research, and pointed to broader related fields as neural networks, genetic algorithms, etc., all together forming the field of "Soft Computing". During the next two days each, there were two plenary talks, one in theory and one in applications. Terano (Japan) summarized the research projects of the Laboratory for International Fuzzy Engineering Research (LIFE) in Yokohama. The main projects during the first period of the existence of LIFE were in the areas of fuzzy decision support, plant operating support, dynamic model for process control, natural language instructions understanding, image understanding, planning and intelligent control, associative memory, expert systems, and fuzzy computer projects. In the second half, natural language processing, the man-computer conversation, fuzzy sets and neural networks, visual information understanding and cooperative robots projects are being pursued. For further information concerning LIFE, contact Dr. Toshiro Terano Executive Director Laboratory for International Fuzzy Engineering Research Siber Hegner Building 4fl 89-1 Yamashita-cho, Naka-ku Yokohama-shi 231, Japan Tel: +81-45-212-8222; Fax: +81-45-212-8255 Parallel with Terano, Liu (China), the President of the Chinese Chapter of the Int. Fuzzy Systems Association (IFSA) gave an overview lecture on fuzzy mathematics research in China. He summarized what is going on in PR China in the areas of fuzzy logic in the narrow sense (factor spaces and truth valued flow, automated deduction, compositional rule of inference, approximate reasoning in general) and fuzzy topology (L-fuzzy structures, the fuzzy unit interval, separation and embedding theory, compactness and related areas, uniformity, proximity, metric spaces, function space, ordered structures, categories and Stone's Representation Theorem, etc.) His paper contains a long list (118) of references. Prof. Ying-Ming Liu Institute of Mathematics Sichuan University Chengdu 610064 P.R. China The other two plenary papers were given by Prof. Wang, and T. Yamazaki (JGC Corporation, Japan). In the first one the truth valued flow inference and its connection to neural networks was discussed; the second talk overviewed all fuzzy control approaches studied (partially developed) and applied in Japan. Despite its application oriented topic, this paper was an academic study. The contributed papers covered almost all areas of fuzzy research. In the following, the sessions and topics of papers will be listed, together with the affiliations of the presenters (not claiming completeness). The classification of papers follows the session titles, and so it is not always perfectly consistent. In the case of some organized sessions, the papers diverge from the topic, while in many cases, sessions with very different titles contain related papers. It is advisable to check any possibly related title if a certain area is searched for in the next list. In some cases I was able to identify the speakers missing from the conference (and so I indicated), but e.g. in the case of the large number of Chinese talks it was impossible to mark all those who could not attend (probably more than the half), who only sent the written text. Fuzzy sets operations and fundamentals (2 sessions): Representation of t-norms (Sichuan Univ.), adaptive membership functions for inference (Univ. of Queensland, Australia), estimation of membership functions (Chuo Univ. & Tama Inst. of management & Info. Sys., Japan), parameterized and discrete fuzzy numbers (Nat. Tsing Hua Univ. & Yuan-Ze Inst. Tech., Taiwan), degree of fuzziness ( Moscow Univ., Russia, no oral presentation), matching of fuzzy sets (LIFE), factor space in similarity reasoning (NUS). Relations: Solution of relational equations (LIFE), comparing fuzzy numbers (Kobe Univ., Japan), toll sets and fuzzy sets (Yonsei Univ.) [this paper seems to be misplaced in this session!]. Fuzzy Algebra: Lattice implication algebras (SW Jiaotong Univ., China), algebraic field extensions (Sistan & balouchestan Univ. & Kerman Univ., Iran), prime spectrum of rings (Kerman Univ.), fuzzy subgroups (Kerman Univ., Iran & Meiji Univ., Japan). Measures and Integrals: Fuzzy measure of uncertainty aversion (Meijo Univ., Japan), L-fuzzy integrals (Harbin Inst. of Tech., China), regularity and Lusin's Theorem (ibidem). Falling Shadow Theorem, Factor Space (2 sessions): Random fuzzy sets (Anhui Univ., China), antitonic set-valued mappings (Kunming Inst. Tech., China), L-fuzzy sets (Beijing Univ., China), factor spaces canes (Beijing Univ.), decision making by factor spaces (ibidem & Tianjin Publ. Co., China), comprehensive evaluation model (beijing Univ.). Topology: Lattice based topology (Sichuan Univ., China), nuclei and L-spatiality of locales (ibidem), fuzzy topos (Liaoning Univ. (China), NF-compactness (Jianghan petroleum Inst., China). Fuzzy Mathematics (in general, 3 sessions): Convergent series (Harbin Eng. Inst., China & Kum-oh Univ. Tech., Korea), F-Suslin sets (Jilin Inst. Educ. & Changchun Univ., China), Weibull function analysis (Univ. Ryukyus, Japan), fuzzy sets and mathematical inequalities (Univ. of new South Wales, Australia & Lab. Thermomecanique, France), powers and countable cardinals (Liaoning Univ.), fuzzy model identification in structural mechanics (Nat. central Univ., Taiwan), quasiprimes etc. in complete lattices (Jiangxi Univ., China), solutions of relation equations (Jilin Teachers' Coll., China & Iona Coll., USA), lattices of L-fuzzy modules (Kerman Univ., Iran), operator for morphology (NUS). Fuzzy Logic and Reasoning (5 sessions): Propositional logic (SW Jiaotong Univ., China), Nelson Theorem in fuzzy (Kanagawa Inst. Tech. & Meiji Univ., Japan), switching functions (ibidem), commutative implications (Shanghai Univ., China), tunable inference software (LIFE), inference operators' overview (Nat. Cheng Kung Univ., Taiwan), dynamic inference by neural network (SW Jiaotong Univ.), fuzzy computing for pattern recognition (related more to the Image and PR topic, only written paper, Indian Stat. Inst.), default reasoning by possibility theory (Visva-Bharati Univ. & Indian Stat. Inst., no oral presentation), remote sensing and application (Indian Stat. Inst., only printed form), bacteriological analysis of water samples (ibidem, only printed, more PR), clustering and cluster validity (ISI & Univ. West Florida), minimization for Stone logic functions (toyama Pref. Univ. & Meiji Univ., Japan), truth maintenance system (Nat. Chung Cheng Univ., Taiwan), logic circuit simulator (Meiji Univ.), case-based reasoning (NUS), generalized Modus Ponens (Moscow Instr. Inst., Russia, only printed version), multi-stage inference (Nat. Taiwan Univ.). Fuzzy Control (8 sessions): Phase lead compensators (Kanazawa Univ., Japan), servo control (Kumamoto Univ., Japan), prediction model of control states (Kyushu Inst. Techn., Japan), prediction (NUS), adaptive control by structure and parameter variation (NUS & Tsinghua Univ., China), and by model tuning (NUS), generalized PD controllers (NUS), prescriptive fuzzy controller (Polish Acad. Sci), theoretical analysis of certain type (triangular) fuzzy controllers (Chinese Univ. , Hong Kong), stability analysis (Seinan Jogakuin Coll. & Kyushu Inst. Tech., Japan), building the inference mechanism (NUS), linguistic model of the controlled object (Nagoya Univ., Japan), hierarchical control systems (Tokyo Inst. Tech. & LIFE, Japan, US Army), interpolation and rule base reduction (Tokyo Inst. Tech., Japan/ Tech. Univ. Budapest, Hungary), emphatic and suppressive rules (Osaka Electro-Communic. Univ., Japan), online regulating controller (Nat. Taiwan Univ.), controller design based on human observations (KAIST), quality control (Asia Univ., Japan), structure and tuning (Ngee Ann Polytech. & NUS, Singapore), learning in neuro-fuzzy controllers ( Electric Power Res. Inst., China), (another from ibidem & Inst. Tech Mara, Malaysia), adaptive manipulator control (CHinese Univ., Hong Kong), predictive controller with model tuning (JGC Co., Japan), stochastic inputs self-tuning control (Hsin-Chu teachers Coll., Taiwan & State Univ. New York, USA), self tuning controller (once more, Tatung Inst. tech., Taiwan), control of thermometric heat pump (Graz Univ. Tech., Austria), anti-swing control of overhead crane (Univ. Tokushima & Shikoku Instr. Co., Japan), train control (Saga Univ., Japan), intelligent gripper (SJ Res. & Dev. Ltd., Singapore & Lab. d'Automatique Industr., France). System Analysis: Identification algorithm for gas concentration in furnaces (Kanazawa Univ., EBARA INFILCO Ltd., Japan & Univ. North carolina, USA), relational models of process static behavior (Koryo Univ. & DanGook Univ., Korea), set parameters adjustment (Tatung Inst. Tech., Japan). Expert Systems and Diagnosis support (2 sessions): Searching trees (Univ. of Toronto, Canada, only written paper), brake system (Nanking Eng. Inst., China), chronic diseases diagnostics (Indian Inst. of Technology, Kharagpur, only written paper), cooperative decision support (LIFE), hepatobiliary diseases diagnosis (Keio Univ. & Tho Univ., Japan), motor diagnostics (Gunma Univ., Japan), information retrieval by neural networks (NUS). Industrial Applications (mixed): Oil-gas gathering pipeline optimization (Daqing Petroleul Inst., China), analog fuzzy circuits (Stanfor Univ., USA), variable structure controller (Koryo Univ. & Dangook Univ., Korea), semi-active suspension for compact cars (Univ. Tokushima, Japan), DC motors control (Ngee Ann Polytech., Singapore). Fuzzy Optimization: Finite element eqilibrium (Chongqing Univ., China), structure optimization (Tamkang Univ., Taiwan), fuzzy programming (NUS). Management & Decision Making: Intelligent decision support system (Metallurgical Inst., Ukraine, only printed text), risk evaluation system (Tsinghua Univ., China & Univ. of Calif., USA). Fuzzy Evaluation: Multifactorial evaluation of Lung function (Tianjin Med. College, China), multicriteria evaluation methods (Tianjin Inst. Textile Eng., China), fuzzy assessment and learning (Japan Sing. AI Centre, Ngee Ann Polytech. & Omron ..., Singapore). Fuzzy Images, Pattern Recognition & Clustering (3 sessions): Retrieval of image databases (NUS, Singapore), dynamic images on roads (Hosei Univ., Japan), fuzzy integral and pattern matching (Nat. Univ. of Defense Tech., China), aircraft identification (Changsha Inst. Tech., China, presumably identical with the previous institution), overview of algorithms (Hosei Univ. & Univ. of Manitoba, Canada), c-means clustering (Xidian Univ., China), membership function generation in pattern classification (Nat. Univ. Defense Tech., China), classifier and acquisition of control rules (Nagoya Univ.), pyramid decision method for object recognition (NUS). Data Base (2 sessions): Knowledge based info. retrieval (Nat. Chiao Tung Univ., Taiwan), fuzzy searching elements (Centr. Res. Inst. Info., Econ. & Manage. Sys, Russia, no oral presentation), integrity constraints (Chiba-Keizai Coll., Japan), multi-dimensional relational databases (Michigan Tech. Univ., USA), fuzzy data and SQL (Omron Co. Japan), scenic image data retrieval (Nagoya City Univ. & Nagoya INst. Tech., Japan). Fuzzy Computing: Linear regression (Kansas State Univ., USA), natural language communiaction system (LIFE), formation method of model reference adaptive control system (Musashi Inst. Tech., Japan), reliability computation (Jiao-Tong Inst., China). Fuzzy Programming: Fuzzy Prolog (NUS, Singapore & Meiji Univ., Japan), linear resolution for fuzzy program (Fujitsu Lab. & Meiji Univ., Japan), Lisp implementation of fuzzy set manipulation system (Osaka Univ. & Shingausha Co., Japan), Fuzzy C (Yamagata Univ., Japan) Fuzzy Neural Networks and Systems (3 sessions, appearing also in many other sessions): Inference and rule tuning (KAIST, Korea), adaptive controller (nat. Chiao-Tung Univ., Taiwan), knowledge base creation (Omron Electronics, The Netherlands), damage prediction of buildings (NUS & Lim Kim Cheong Consultants, Singapore), intelligent control by genetic algorithms and NN ( Chung-Ang Univ., Korea), direct fuzzification of NN (Univ. Alabama, USA & Ibaraki Univ., Japan), self organizing control (Defense Sci. Org. & NAS, Singapore), neuro- fuzzy modelling environment (NUS), comparison of various fuzzy NN (ibidem), back-propagating three-value NN (ibidem), adaptive truth value flow inference (ibidem). Learning (2 sessions): Decision trees (Nat. Sun Yat-Sen Univ., Taiwan), hysteresis characterization by learning (ibidem), fuzzy flip-flop and learning (Grad. Univ. for Adv. Stud., Hosei Univ., Japan & Univ. of Manitoba), parametric/structural learning (Nat. Chiao Tung Univ., Taiwan), freeway incident detection (ibidem), classifier with learning capability (Nat. Cheng Kung Univ., Taiwan). Behavior and Emotion Expression: Expressing attraction (LIFE), analysis of competence (Nat. Tsing Hua Univ.), interpretive structural modeling (Hokkaido Univ., Japan). DEMONSTRATIONS. There were a few demonstrations present, mainly from Singapore. As the conference overlapped with a local robot contest, some of the interesting experiments have not appeared here. In general, the demonstrated applications were control systems or related software. EVALUATION. The conference gave good insights into the fuzzy research going on in the East and South East Asian countries. The major industrial applications in Japan and Korea were however not represented here, the significant applier companies did not show up. Also I could not detect any spectacularly new theoretical results presented here for the first time (although some interesting algorithms in fuzzy logic, etc. have been introduced). The most informative aspect was the series of Singapore presentations, in the past, only a small part of these have appeared at the larger international conferences. One major factor for items missing at AFSS is the large number of international fuzzy conferences, especially the 5th IFSA World Congress held a few months earlier (in July) in the same region (Seoul). But even IFSA congresses are beginning to lose their initial importance, as the LIFE organized IFES Symposia (Yokohama) and the yearly IEEE Fuzzy Systems Conferences represent real competition. In March 1995 the first (and maybe last?) joint IFES-IEEE fuzzy conference will be held in Yokohama; very probably major results in the field will be saved up for that meeting. The organization was very good and we all enjoyed a friendly atmosphere, good food (representing all ethnic communities living in Singapore), and interesting sights. One minor problem -- it is almost impossible to use the proceedings as there are no page numbers, and consequently no real contents. (After the conference, a fictive list of contents was sent to all participants, referring to the imaginary page numbers - at least, it contains a full list of the papers in the proceedings.) It was decided that in the future, theoretically every second year an AFSS will be held. However, as in 1995 the IFES-IEEE conference will take place in Yokohama, the 2nd AFSS will be only in 1996 (in Taiwan). ------------------------------------------------------------------- VISIT TO INSTITUTE OF SYSTEMS SCIENCE (ISS) After the conference I visited the organizing Institute of Systems Science, National University of Singapore. The ISS is a research oriented institution although a number of graduate students prepare there their M.Sc. or PhD Thesis. [A variety of earlier reports have discussed ISS, DKK.] In the ISS, there is a group interested mainly in soft computing, especially fuzzy logic and neural networks. The leader of this group is Dr. Ho Chung Lui (Address as with Prof. Wang) Email: luihc@iss.nus.sg and others members are Prof. Wang, Dr. Liya Ding, Dr. Qi Tian, Goh Tion Hwee, and others. At the time of my visit, my host was my very close personal friend, the internationally well known fuzzy scientist Dr. Zuliang Shen, who passed away in January 1994. Let me remember him at this place with a few sentences. He was born in China and studied computer science. He wrote a large number of books in Chinese on programming languages and related topics, and he became an Associate Head of Department in Shanghai. Then, he was offered an opportunity to continue research in Japan, at the Meiji University, in the laboratory of Prof. M. Mukaidono where he obtained his PhD degree. In 1991 he moved to Singapore and joined the ISS. He has done excellent work in the fields of fuzzy reasoning (case based reasoning, the Revision Principle), the development of fuzzy Prolog, neuro-fuzzy systems, etc., and has a very long list of publications. Besides being an outstanding researcher, he was an exceptionally nice person, very popular in the entire fuzzy community. A few days before his death he was still working hard on his new project in real world computing. Beside Prof. Wang, he was the moving force in the fuzzy research in Singapore. His wife, Dr. Ding continues the projects they have worked together on. Some of the interesting work going on in the ISS is the swingless overhead crane control project developed according to the needs of the Singapore Port Authority. The control technique is demonstrated on a smaller size system, with essentially similar mechanical features. The main problem is that the load might be moved at the same time in all three dimensions, and with a relatively high speed. The results are very impressive, the swinging is almost completely eliminated by applying a set of rules and a simple mechanical sensor for the detection of the load's actual position (Hwee). Another problem is the automatic recognition of the container identification codes when they are entering or leaving the container store area. These codes can have different size, and especially quite different position on the container, further on, their parts might be located in various relation to each other. Although the problem is not yet solved in its full depths, the intermediate results are very promising (Tian). [See also remarks on this in the report, "nnasp.93" 28 Sept 1993, DKK.] Much theoretical and methodological research is done (including control algorithms, learning systems, real world computing, etc.) with the leading of Wang and Ding. ------------------------------END OF REPORT------------------------- ------------------------------ From rick@cs.arizona.edu 31 Jan 1994 11:57:35 -0700 Date: 31 Jan 1994 11:57:35 -0700 From: rick@cs.arizona.edu (Rick Schlichting) Subject: Kahaner Report: Demonstration of unmanned helicopter with fuzzy control [Dr. David Kahaner is a numerical analyst on sabbatical to the Office of Naval Research-Asia (ONR Asia) in Tokyo from NIST. The following is the professional opinion of David Kahaner and in no way has the blessing of the US Government or any agency of it. All information is dated and of limited life time. This disclaimer should be noted on ANY attribution.] [Copies of previous reports written by Kahaner can be obtained using anonymous FTP from host cs.arizona.edu, directory japan/kahaner.reports.] From: Dr. David K. Kahaner US Office of Naval Research Asia (From outside US): 23-17, 7-chome, Roppongi, Minato-ku, Tokyo 106 Japan (From within US): Unit 45002, APO AP 96337-0007 Tel: +81 3 3401-8924, Fax: +81 3 3403-9670 Email: kahaner@cs.titech.ac.jp Re: Demonstration of unmanned helicopter with fuzzy control 01/28/94 (MM/DD/YY) This file is named "sugeno.94" ABSTRACT. A demonstration flight of a 3.5-meter unmanned helicopter, with a newly developed fuzzy controller is described. This project was under the direction of Prof M.Sugeno from Tokyo Institute of Technology. I travelled to Yamaha's helicopter test site recently to see a demonstration of an unmanned helicopter equipped with a fuzzy controller. I have discussed several aspects of this project before, see for example the file "copt-fuz.93" 12 April 1993, but had not seen an actual flight. The project is lead by Prof Michio Sugeno Tokyo Institute of Technology Systems Sciences Department 4259 Nagatsuta, Midori-Ku Yokohama 227, Japan Tel: +81 45 922 1111 x2641; Fax: +81 45 921 1485 Prof Sugeno has been involved in fuzzy research since the 1960s. In addition to his position at Tokyo Institute of Technology he is also the Director of the Fuzzy Systems Research Project of the Science and Technology Agency (STA), and the Lead advisor to the Laboratory for International Fuzzy Engineering (LIFE). He has developed fuzzy control applications to water purification, voice command activated car, and warm water water supply unit (the first fuzzy control application to a consumer product). The current project is developed in cooperation with Yamaha Motor Co in Japan (the chief engineer on the project, I.Hisatomi is from Yamaha), and United Technologies Research Center in the US (the complex flight control research was done by M.Griffin from UTRC). An existing Yamaha 3.5m R-50 commercial rice-paddy-spraying helicopter is used as the platform, and three such R-50s have had their spray arms removed and re-engineered to accept the new control and guidance equipment. Sugeno claims that he has spent about US$1M (supported by MITI) on the project, much of it on expensive sensors. The R-30 is not a model helicopter; about 500 units have been sold, primarily for spraying small Japanese rice fields. The R-30 weighs about 100 pounds and has a 30 minute flying time. This unit is normally flown by remote control via joysticks. Yamaha told us that to master flying using the joystick controller, takes several months and requires that the operator be in constant visual contact with the R-30. A helicopter has 6-DOF in its motions, up/down, fore/aft, right/left, pitching, rolling, and yawing; there are 15 state variables. These correspond to various flight modes such as forward flight, backward flight, sideward flight, hovering, hovering turn, vertical climb, etc. A helicopter has a throttle control for rotor rotation and four other control inputs (collective pitch for climb or descent by changing the main rotor's lift by changing the main rotor blade angle, longitudinal cyclic pitch for forward or backward flight by tilting the main rotor path plane fore or aft, lateral cyclic pitch for left or right flight by tilting the main rotor path plane, antitorque pedals for heading direction control by changing the lift of the tail rotor through changing its angle). The system is inherently poorly damped or unstable and is easily affected by temperature, humidity, wind, etc. Flight modes are cross-coupled; in addition to basic airframe rigid body dynamics, rotor and engine affect dynamics. There are nonlinear variations with air speed, ground effects, etc. In addition, helicopters have many more flight modes than winged aircraft and are often forced to fly in difficult conditions (low altitude, near obstacles, etc). (Conventional control systems are based on feedback control, but helicopter pilots are able to operate in a predictive feedforward manner to stabilize the helicopter to compensate for time delays between change of input to output.) The primary innovation in the development of this system is the two layer control system, with voice commands entering at the upper layer and control commands produced at the lowest layer. Such a two layer system, which is highly modularized, allows command interpretation, navigation, and flight mode management (take-off, hover, forward, turn) to be in the top layer. The lower layer consists of four modular fuzzy controls for the four control inputs (longitudinal cyclic, lateral cyclic, collective pitch including throttle, and antitorque pedals). Each module consists of in-then fuzzy rules (39 rules are used for hovering, etc). Sugeno has applied for a patent (1992) on aspects of this system, which he claims will also apply to other systems that move in 3 dimensions, such as underwater. The test helicopter is equipped with the fuzzy controller, a command receiver, various sensors, a wireless camera and a telemeter. A TMOS 1000 sensor measures 3D accelerations, velocities, attitude angles, and angular velocities. A radio wave speed meter measures 3D velocities. A laser height meter measures height, and a magnetic azimuth sensor measures heading. A differential GPS system compensated by another GPS on fixed on the ground measures 3D position with 30-100cm accuracy. The telemeter transmits all 15 measured variables to the ground. The controller in an Omron FP3000 with an inference speed of 60 rules per microsec. There are unmanned helicopters under development but these are controlled remotely by hand, like the standard R-50. Sugeno claims that automatic control has previously only involved hovering, maintenance of constant course and altitude after achieving stationary flight, and automatic course control, with other control functions handled by a pilot, and that to date, no fully automatic control system has been developed. Using his system there is only one control and that is typically given by voice; the operator need not be aware of the helicopter's dynamics. In fact, voice control is not a major issue in this project. The operator speaks a command into a microphone and the digitized speech is then analyzed using a conventional speech processing box, which decides if it is one of the allowable commands and if so, displays its choice on a CRT. If the operator agrees with the analysis he confirms the choice by pressing a key, and the command is then transmitted to the helicopter. A second microphone near the speaker functions as an active sound subtraction system; the operation environment is quite noisy. Sugeno makes a persuasive case that fuzzy control can be effective in this complicated nonlinear environment, but eventually it comes down to the implementation. In the current demonstration Sugeno's staff showed three different flight sequences by speaking the commands. (1) Square flight with commands: take off, up, stop, forward, stop, right, stop, reverse, left hovering turn, forward, stop, land. (2) Figure eight flight with commands: take off, up, stop, forward, turn right, turn left, stop, reverse, land. Right circling climb with commands: take off, up, stop, left hovering turn, forward, right circling and up, stop, down, stop, land. One other planned demonstration, image guided landing was not working properly and was not shown (this involves searching via image processing of the video image for a specified landing site). Sugeno claims that this will work better when faster image processing hardware is mounted onboard. (A new participant in the project from UTRC, H.Winston, is a specialist in image processing and will work on this aspect.) Everything that we were shown worked without incident. Sugeno has already distributed a simple video showing early experiments, and he claims that a professional and updated version will be available by the end of March 1994. There are various aspects under development and others planned. Under development. Fuzzy commands such as fly forward a little, make a big right turn, etc. Fuzzy fly by wire for the case when fine control with voice cannot be achieved. Automatic landing based on image information (as mentioned above). Sugeno feels it will take another two years and about US$1M to add these features. Future development. Automatic collision avoidance flight based on image and radar information. Flight navigation system for out of view helicopter. Automatic autorotation system in case of engine failure. Sugeno felt that mission planning was the major research problem yet to be solved, i.e., from a high level specification of a task, develop a complete description of the steps necessary to solve it -- "go find the ship that is on fire" (there is an analogous problem in robotics and other autonomous systems). On the topic of commercialization, a Yamaha spokesperson felt that this system would be commercialized within five years. (The current system hardware can be significantly reduced in weight with integration, increasing the available payload capacity.) Sugeno commented that there are plans to initiate a company capitalized at about US$50M in the near future, which will involve several industrial concerns including UTRC and Yamaha Motors. On a related note, Sugeno explained that Kawasaki Heavy Industries has just begun a 6 year US$100M program to use this technology to develop a pilot-assisted system for a large helicopter. If successful (and Sugeno believes that scaling up will not be difficult, but admits that he has no direct experimental evidence) such a system could be an excellent transition to commercial applications without having to deal with the more difficult problems associated with an unmanned unit. ------------------------------END OF REPORT--------------------------- ------------------------------ From glen@eecs.berkeley.edu Mon, 31 Jan 1994 16:59:44 -0800 Date: Mon, 31 Jan 1994 16:59:44 -0800 From: Glen Ozawa Subject: from L.A. Zadeh (BISC Institutional Affiliates) =================================================================== TO: BISC Group FROM: L.A. Zadeh CC: S. Sequin M. Tomizuka E. Wong The response to the initiation of the new category "BISC Institutional Affiliate" has been overwhelmingly positive. BISC is evolving into a world-wide community of individuals and organizations which in one way or another are interested in or active in soft computing (SC ‾= FL + NN + PR). The establishment of such a community has been made possible by the advent of e-mail. The list of institutional affiliates is growing. At this juncture, the list includes the following. Department of Civil Engineering University of Maryland College Park, MD 20742 Liaison: Professor Bilal M. AYYUB email: ba15@umail.umd.edu tel: 301-405-1956 fax: 301-314-9320 Artificial Intelligence Research Branch NASA Ames Research Center Moffett Field, CA 94035 Liaison: Dr. Hamid R. Berenji MS:269-2 email: berenji@ptolemy.arc.nasa.gov fax: 415-604-3594 Politecnico di Milano - Dipartimento di Elettronica e Informazione Politecnico di Milano AI & Robotics Project Piazza Leonardo da Vinci, 32 I - 20133 Milano - Italy Liaison: Dr. Andrea Bonarini email: bonarini@ipmel2.elet.polimi.it tel: +39-2-2399-3525 fax: +39-2-2399-3587 Dept. of Electronics (EN3) Technical University Berlin Einsteinufer 17 D-10587 Berlin, Germany Liaison: Dr. Hans H. Bothe tel: +49-30-314-23950 fax: +49-30-314-22120 email:hans@lipps.ee.tu-berlin.de Software Engineering Laboratory Department of EECS (M/C 154) 1120 SEO University of Illinois at Chicago 851 South Morgan Street Chicago, IL 60607-7053, USA Liaison: Professor Carl K. Chang, Director tel: 312-996-4860 fax: 312-413-1386 email: ckchang@.eecs.uic.edu Computer Science Department Brigham Young University 3330 TMCB Provo, UT 84602, USA Liaison: Prof. Larry C. Christensen email: Lchris@cs.byu.edu tel: 801-378-5670 fax: 801-378-7775 Industrial Automation Laboratory Department of Mechanical Engineering The University of British Columbia 2324 Main Mall Vancouver, B.C., Canada V6T 1Z4 Liaison: Dr. Clarence W. de Silva, Director NSERC Professor of Industrial Automation email: desilva@mech.ubc.ca tel: 604-822-6291, 822-3147, 822-4850 fax: 604-822-2403 Department of Industrial Engineering Kansai University 3-3-35 Yamate, Suita-City Osaka, 564, JAPAN Liaison: Prof. Yoshinori EZAWA email: ezawa@kansai-u.ac.jp Department of Computer Science Eotvos Lorand University P.O. Box 157 H-1502 Budapest 112, Hungary Liaison: Dr. Janos C. FODOR Senior Research Fellow email: JFODOR@CS.ELTE.HU Research Group in Approximate Reasoning and Artificial Intelligence Dpto. Ciencias de la Computacion e I.A. Universidad de Granada 18071-Granada (Spain) Liaison: Antonio Gonzalez email: gonzalez@robinson.ugr.es fax: +34-58-243317 Department of Informatics University of Oslo Gaustadalleen 23 Box 1080 Blindern 0316 Oslo, Norway Oslo, Norway Liaison: Prof. Ellen Hisdal email: ellen@ifi.uio.no fax: +47-22-85-24-01 tel: +47-22-85-24-39, +47-22-85-24-10 Institute of Systems Science National University of Singapore Liaison: Mr. Goh Tiong Hwee email: thgoh@iss.nus.sg Fuzziness & Uncertainty Modeling Research Group University of Gent Krijgslaan 281 S9 9000 Gent Belgium Liaison: Prof. Dr. E. E. Kerre email: Etienne.Kerre@rug.ac.be FLLL-Fuzzy Logic Laboratorium Linz Johannes Kepler Universitaet A-4040 Linz, Austria Liaison: Prof. Erich Peter KLEMENT email: k312570@edvz.uni-linz.ac.at tel: +43-732-2468-9151, +43-732-67-85-95 fax: +43-732-2468-10 The Dept. of Telecommunication and Telematics Technical University of Budapest Sztoczek u. 2 H-1111 Budapest, Hungary Liaison: Dr. Laszlo T. Koczy email: koczy@viking.ttt.bme.hu tel: +36-1-1812-179 tel/fax: +36-1-1812-302 fax: +36-1-1666-808 Department of Computer Science University of Texas at El Paso El Paso, TX 79968 Liaison: Prof. Vladik Kreinovich email: vladik@cs.ep.utexas.edu Dept. of Computer Science Technical University of Braunschweig Bueltenweg 74 - 75 D-38106 Braunschweig Germany Liaison: Prof. Dr. Rudolf Kruse email: kruse@ibr.cs.tu-bs.de tel: 49-531-391-3289 fax: 49-531-391-5936 Intelligent Systems Laboratory (ISL) Department of Information Engineering The Chinese University of Hong Kong Shatin, N. T. Hong Kong Liaison: C. P. Kwong (Senior Lecturer) email: cpkwong@ie.cuhk.hk fax: 852-6035032 Neural Networks Laboratory Genoa INFM Research Unit Department of Physics University of Genoa Via Dodecaneso 33 16146 Genova - Italy Liaison: Dr. Francesco Masulli email: masulli@genova.infn.it tel: +39 10 353 6297/6314 fax: +39 10 314218 Teknekron CIS, Inc. Liaison: Gary McCoy email: mccoy@tcis.com GMD-SET (German National Center for Computer Science Institute for System Design Technology) Schloss Birlinghoven D-53737 St. Augustin Germany Liaison: Dr. Liliane Peters Head of Department email: peters@gmd.de tel: 49-2241-142332 fax: 49-2241-142342 Industrial Technology Research Institute (ITRI) of Taiwan Liaison: Jyuo-Min Shyu CCL/ITRI, X000 195 Sec. 4, Chung-Hsing Rd. Chutung, Hsinchu Taiwan, ROC email: shyu@x1sund.ccl.itri.org.tw tel: 886-35-917991 fax: 886-35-820278 Abteilung fuer Datenbanken und Expertensysteme Institut fuer Informationssysteme (Nr. 184/2) Technische Universitaet Wien Paniglg. 16, A-1040 Vienna, Austria Liaison: Wolfgang SLANY, research assistant email: wsi@vexpert.dbai.tuwien.ac.at Tel: +43-1-58801-6123 fax: +43-1-5055304 Laboratoire d'Automatique et d'Analyse des Systems (LAAS) 7, Av Colonel Roche 31077 Toulouse Cedex France Liaison: Prof. Andre Titli email: titli@laas.fr tel: 33-61-33-62-00 fax: 33-61-55-35-77 Institute of Automatic Control Technical University of Darmstadt Landgraf-Georg Str. 4 64283 - Darmstadt, Germany Liaison: Dr. Mihaela Ulieru email: goli@irt1.rt.e-technik.th-darmstadt.de University of Dortmund LS BE Faculty of Electronic Engineering 44221 Dortmund Dr. A. Ungering email: ungering@luzi.e-technik.uni-dortmund.de Dept. of Computer Science and Artificial Intelligence ETS Ingenieria Informatica Universidad de Granada E-18071 Granada tel: +34-58-244019 fax: +34-58-243317 Liaison: Prof. J.L. Verdegay tel: +34-58-243195 email: jverdegay@ugr.es email: verdegay@robinson.ugr.es Computing Systems Engineering Research Group Dept. of Electrical and Electronic Engineering University of Surrey Guildford Surrey GU2 5XH UK Liaison: Dr Tanya Vladimirova email: T.Vladimirova@ee.surrey.ac.uk tel: (0483) 259137 fax: (0483) 34139 Machine Intelligence Institute Iona College New Rochelle, NY 10801 Liaison: Dr. Ronald R. Yager email: RRY1@Iona.BITNET tel: 212-249-2047 fax: 212-249-1689 Center for Fuzzy Logic and Intelligent Systems Research Harvey R. Bright 301 Texas A&M University College Station, TX 77843-3112 Liaison: Prof. John Yen, Director Department of Computer Science MS 3112 Texas A&M University College Station, TX 77843 email: yen@cs.tamu.edu tel: 409-845-5466 fax: 409-847-8578 Institute for Real-Time Computer Systems and Robotics Department of Computer Science, University of Karlsruhe 76128 Karlsruhe Germany Liaison: Jianwei Zhang, research assistant email: zhang@ira.uka.de ------------------------------ From wsimpson@uwpg02.uwinnipeg.ca 1 FEB 1994 15:19:25 CST Date: 1 FEB 94 15:19:25 CST From: wsimpson@uwpg02.uwinnipeg.ca Subject: fuzzy sensing I was wondering if anyone has done something like the following. You can build a precise sensing system using imprecise (fuzzy) sensors. E.g. you have two types of temperature sensor. One responds best to high temperatures, one to low (the output is a fuzzy number). output /¥ /¥ / ¥ / ¥ / ¥ / ¥ / ¥/ ¥ / /¥ ¥ / / ¥ ¥ / / ¥ ¥ / / ¥ ¥ / / ¥ ¥ temperature You can get a precise read-out of temperature by 1. constructing output functions by multiplying the low function by the obtained low reading, and multiplying the high function by the high reading. 2. defuzzifying output functions (e.g. find centroid). I am pretty fuzzy (excuse me!) on the details of how this would be done. I have looked at a couple of fuzzy logic books and neither was very helpful (too much on fuzzy LOGIC). If anyone can direct me to useful literature or give any help at all, I'd be very grateful. Thanks very much. Bill Simpson ------------------------------ From mkant+@cs.cmu.edu Wed, 2 Feb 1994 03:04:09 GMT Date: Wed, 2 Feb 1994 03:04:09 GMT From: mkant+@cs.cmu.edu (Mark Kantrowitz) Subject: Re: Fide 2.0 demo at FTP site In article <1994Feb1.181244.25013@aptronix.com>, Taylor Anderson wrote: >Fide 2.0 demo is now located ftp.cs.cmu.edu in the "user/ai/new" directory >(note, no slash before user). Correction: It is in user/ai/software/fuzzy/code/fide/ as either a ZIP file or a gzipped tar file. --mark ------------------------------ From sourav@control.prec.metro-u.ac.jp Wed, 2 Feb 1994 06:50:54 GMT Date: Wed, 2 Feb 1994 06:50:54 GMT From: sourav@control.prec.metro-u.ac.jp (Sourav Kundu) Subject: Re: Inverted Pendulum FAMs In article , cs188387@csun05 (Yeung Wai Keung (BACS4 Class A)) writes: -+Hi, -+ -+ Does anyone know the FAMs (the rule base) for the inverted -+pendulum example. I think it should be 3x3x3x3 = 81 rules. -+ -+ Is anyone working on the fuzzy inverted pendulum. If yes, -+would you share the experience with me? I want to use Genetic -+Algorithm to train the membership function to produce a -+efficient fuzzy controller for the inverted pendulum example! -+ -+Thanks in advance, -+Destine Yuen -+cs373243@COMP.HKP.HK +++++++++++++++ Yes its 3^4 = 81 rules. The paper titled "Genetic Algorithms in Controller Design and Tuning" in IEEE Transactions on Systems, Man and Cybernetics (journal) VOL 23, NO 5 , Sept/Oct 1993, By "Alen Varsek, Tanja Urbancic and Bodgan Filipic" describes the same problem and they propose a GA based 3-phase learning procedure where the GA learns the rules "from Scratch" and also the fine tuning of the rule parameters are done using a GA ! They also take the Pole balancing (inverted pendulum) problem as the control task. I have'nt heard anything like "fuzzy inverted pendulum !" which you have mentioned but the paper "Fuzzy Control of pH Using Genetic Algorithms" in IEEE Transactions on Fuzzy Systems Vol. 1, No 1, February 1993, by "Charles L. Karr, and Edward J. Gentry" describes an aproach using GAs to evolve Fuzzy membership functions for control of pH. I have been working on use of GAs for evolving fuzzy reasoning rules for adaptive control of a Liner positioning system, and I think this area has a great future. Hope this helps, Compliments, -kundu -------------------------------------------------------------------------- SOURAV KUNDU !Internet: Control Engg. Laboratory ! : sourav@control.prec.metro-u.ac.jp Department of Precision Engg. ! : sourav@yamabuki.comp.metro-u.ac.jp Faculty of Technology, ! Tokyo Metropoliton University ! Voice : +81(426)-77-1111 EXTN.4251 1-1 Minami-Ohsawa, Hachioji-shi! Fax : +81(426)-77-2717 Tokyo 192-03, JAPAN ! Time : GMT +9 Hours -------------------------------------------------------------------------- ------------------------------ From Gabriel.Climescu@seco.unine.ch 2 Feb 1994 11:43:36 MET Date: 2 Feb 94 11:43:36 MET From: Gabriel.Climescu@seco.unine.ch Subject: CFP: ConTI'94, Timisoara, Romania The Technical The National University of Commision for Timisoara Informatics ConTI '94 International Conference on Technical Informatics Timisoara, 16-19 November 1994 ANNOUNCEMENT AND CALL FOR PAPERS International Conference on Technical Informatics Timisoara, Romania, 16-19 November 1994 OBJECTIVES: ========== The International Conference on Technical Informatics is an event that is organized every two years, with the aim to stimulate contacts between scientists active in the area of computer and control and to bring together computer manufacturers, software, producers, control systems specialists, and end-users to evaluate the possibilities of techniques, components, environments and equipments covered by the area of technical informatics. The scope of the conference includes all aspects of computer and control and ranges from subjects within the framework of fundamental research to applications in industry and advanced technology. The conference topics cover components and instruments, software and hardware, advanced computer aided facilities and signal processing, modern control algorithms and strategies, system theory, artificial intelligence as well as applications in relevant fields. General Chair : Dr. Alexandru Nichici Rector of The Technical University of Timisoara Piata Victoriei 2 Timisoara, Romania Programme Chairs: Dr. Vlad Ionescu | "Politehnica" University Bucharest Dr. Mircea Petrescu | Faculty of Control and Computers | Spl. Independentei 313, fax: 40-1-3120188 | 77206 Bucharest Tel: 40-1-6314120 | Romania SUBMISSION OF PAPERS: ==================== Original scientific contributions in the areas of iterest are welcome. Prospective authors shoul submit three copies of a complete paper (appr. 5000 words) or an extended abstract (appr. 2000 words) in English to the local organizer. TOPICS: ====== 1.System Theory ------------- Scientific Computing & Automation ; Computational Techniques in System Theory ; Mathematics of Fuzzy Systems ; Neural Network Theory ; Chaos and Fractals ; Infinite Dimensional Systems ; Modelling and Simulation ; Identification and Parameter Estimation ; System Optimization 2. Control Systems --------------- Modern Control Algorithms (Fuzzy, Neural, H_infinity Control) ; Adaptive Control Structures and Algorithms ; Distributed Parameter Control Systems ; Control Systems Reliability 3. Real Time Systems ----------------- Real Time Programming Environments ; Real Time Control ; Control Oriented Software and Hardware ; Smart Controllers and Supervisors 4. Industrial Automation --------------------- Control System Engineering ; Industrial Process Control ; Computer Aided Automatic System Design ; Control Systems in Robotics and Electrical Drives ; Bioinformatics 5. Computer Graphics & CAD ----------------------- Computer Aided Geometric Design ; Constructive Solid Geometry ; Solid Modelling ; Scientific Animation ; Virtual Reality ; Interactive Techniques ; Graphics GEMS ; Expert Systems in CAD 6. Computer Aided Production Engineering ------------------------------------- CAD ; CAM ; CIM ; CAE ; CAPP ; CAQ ; FMW ; CAT 7. AI & KBS Applications --------------------- Environments ; Pattern Recognition ; Resolutive Systems ; Knowledge Engineering and Expert Systems ; Genetic Algorithms ; Intelligent Control ; Intelligent CAD Systems ; Intelligent Mechatronics ; Fuzzy and Intelligent Technologies 8. Computer Architectures and Distributed Systems ---------------------------------------------- Architecture of Distributed Systems ; Systems Reliability ; Network Oriented and Distributed Operating Systems ; Paradigms for Distributed Application Development ; Parallel Algorithms and Programming Languages for Parallel Computing ; Distributed Database Systems 9. Software Engineering and Systems Programming -------------------------------------------- Formal Specification and Verification of Software Systems ; Software Engineering Environments ; Database Systems ; Design and Implementation of Programming Languages ; Algorithm Design and Analysis 10. Electronic Design Automation ---------------------------- Specification Languages ; Hardware Synthesis ; Hardware Simulation and Verification ; Hardware-Software Codesign ; Testing 11. Signal Processing ----------------- Artificial Vision ; Image Processing ; Signal Processing in Control ; Neural Computation DEADLINES: ========= SUBMISSION OF PAPERS : May, 10, 1994 NOTIFICATION OF ACCEPTANCE : July 10, 1994 CAMERA READY MANUSCRIPT : September 10, 1994 CONFERENCE : November 16-19, 1994 PROGRAMME COMITEE: ================= Dan Bedros - Alcatel Network Systems, Romania Frederic Beujin - Universite d'Artois, France Oleg Cernian - University of Craiova, Romania Tiberiu Colosi - Technical University of Cluj-Napoca, Romania Emil Creanga - "Dunarea de Jos" University of Galati, Romania Vladimir Cretu - Technical University of Timisoara, Romania Toma L. Dragomir - Technical University of Timisoara, Romania Ion Dumitrache - "Politehnica" University Bucharest, Romania Petru Eles - Technical University of Timisoara, Romania Florin Filip - Research Institute for Informatics, Bucharest, Romania Cristian Giumale - "Politehnica" University Bucharest, Romania Frans Groen - University of Amsterdam, The Netherlands Voicu Groza - Technical University of Timisoara, Romania Traian Ionescu - "Politehnica" University Bucharest, Romania Vlad Ionescu - "Politehnica" University Bucharest, Romania Ioan Jurca - Technical University of Timisoara, Romania Krzysztof Kuchcinski - Linkoping University, Sweden Gheorghe Lazea - Technical University of Cluj-Napoca, Romania Onut Lungu - Technical University of Timisoara, Romania Ioan Alfred Leta - Technical University of Cluj-Napoca, Romania Ioan Muresan - Technical University of Timisoara, Romania Adrian Petrescu - "Politehnica" University Bucharest, Romania Mircea Petrescu - "Politehnica" University Bucharest, Romania Dusan Petrovacki - University of Novi Sad, Yugoslavia Kalman Pusztai - Technical University of Cluj-Napoca, Romania Vladimir Razvan - University of Craiova, Romania Matti Saikkonen - Kuopio Institute of Technology, Finland Bernhard Schwarz - Fachhochschule Rosenheim, Germany Alexandru Valachi - "Gh. Asachi" Technical University of Iasi, Romania Mihail Voicu - "Gh. Asachi" Technical University of Iasi, Romania LOCAL ORGANIZERS: ================ Vladimir Cretu, Ioan Muresan The Technical University of Timisoara, Faculty of Control and Computer Science Bv. Vasile Parvan 2, 1900 Timisoara, Romania Fax : 40-96-190321 Phone: 40-96-190608 40-96-112049 E-mail: tempus0!conti94@nat.vu.nl ------------------------------------------------------------------ Please complete and return this form to : ConTI '94 Conference Secretariat Technical University of Timisoara Faculty of Control and Computer Science bv. Vasile Parvan 2 1900 TIMISOARA ROMANIA ConTI, Timisoara, November 16-19, 1994 Name : ____________________________________________ Initials : ________________ Organisation : __________________________________________________________ Address : _______________________________________________________________ _________________________________________________________________________ Country : _______________________________________ Post code : ____________________ Phone : _________________________________ Fax : ____________________________________ [ ] I wish to attend the Conference [ ] I am interested to participate with a paper at the Conference Signature : ______________________________ Date : _________________________ At : __________________________ ------------------------------------------------------------------------- TIMISOARA ========= Timisoara, one of the major Romanian cities, is situated in the west of Romania and has a population of about 350,000 inhabitants. Mentioned in documents already since 1212, the city still keeps parts of its old fortress, together with Huniade Castle, dating back to the 14th century. The town was a pashalic between 1552-1716; in 1718 Banat became an Austrian province. In the 18th century the first factories appeared, Bega became a navigating canal, trade and industry were flourishing all over the province. In the 19th century, new developments followed - the first telegraph(1854), the first telephone(1881), first European town to use street lighting(1884), the first horse-drawn tramways(1869), the first electric tramways(1899). Following up to date trends, at present Timisoara is the main economic and cultural centre in the western part of the country and is considered the most related in spirit to western civilisation. At the same time, Timisoara has a high reputation among Romanian towns due to its high standards of culture and civilisation. The Opera House, various Theatres, the Philarmonic, Art Galleries, are just a few of the representative cultural institutions. Following the educational tradition of the area - the first Romanian schools in Banat in the 14th century, secondary and grammar schools in the 18th century - Timisoara turned into a top university centre with four universities training over 25,000 students in technical studies, science, humanities, medical science and agricultural studies. In December 1989 it was Timisoara that started the Romanian Revolution, keeping alive the spirit of freedom and democracy. HOW TO GET TO TIMISOARA ? ======================= By plane : you have direct flights from: Viena, Frankfurt, Stockholm, Copenhagen, London, Milano, Venice, Madrid, Zurich, Chicago, New York, Moscow, Larnaca, Bucharest. By train : there are direct links from all directions within Romania and from Belgrade ; from Viena, Berlin, Munich, Praga, Warsaw, Bratislava, Budapest you can get directly to Arad (53 km far from Timisoara) and from Arad you have trains every two hours ; from Athens, Sofia, Kiev, Moscow, there are direct links to Bucharest (600 km far from Timisoara). ------------------------------ From slc@JUPITER.RISC.ROCKWELL.COM Wed, 2 Feb 1994 10:14:49 PST Date: Wed, 2 Feb 1994 10:14:49 PST From: Steve Chiu Subject: Call for papers, Proceedings of the IEEE CALL FOR PAPERS PROCEEDINGS OF THE IEEE: SPECIAL ISSUE ON FUZZY LOGIC IN ENGINEERING APPLICATIONS A special issue of the PROCEEDINGS OF THE IEEE on Fuzzy Logic In Engineering Applications is planned for February 1995. The Proceedings of the IEEE publishes papers on topics of broad significance and long range interest in all areas of electrical, electronics, and computer engineering. Since papers in the Proceedings of the IEEE are read by people whose interest extends beyond their own specialties, papers must be written to be of value to both experts and nonspecialists. The papers in the special issue on Fuzzy Logic in Engineering will be grouped into three categories: tutorial or review papers, applications, and hardware/software tools. If you would like to submit a paper for this special issue, please send a copy of your manuscript to Dr. Sujeet Chand (e-mail: sxc@risc.rockwell.com), Guest Editor, Rockwell International, 1049 Camino Dos Rios, Thousand Oaks, CA 91360. The deadline for submission is APRIL 4, 1994. ------------------------------ End of Digest ************************ Contents: from L.A. Zadeh (Glen Ozawa ) KR94: Program and Conference Information (kr94@ai.univie.ac.at (KR94 Conference Service)) Call for Papers ("Clarence de Silva, Ph.D." ) Shaping Fuzzy Sets using Statistical Data (piater@adam.cs.TU-Magdeburg.DE (Justus Piater)) Fuzzy Sets and Systems (tfq@aplcomm.jhuapl.edu (Therese Quaranta)) Re: Fuzzy Logic in Agriculture-Applications? (gates@aen.uky.edu) FuzzyHardware (jmarkus@elvis.dr.att.com (John W. Markus)) Conference Proceedings (Keith Douglas Moss ) (RNAGISE@uoft02.utoledo.edu) CD ROM Proceedings for FUZ-IEEE `93 and ICNN `93 (marks@u.washington.edu (Robert Marks)) IEE Colloquium (pwf@cee.hw.ac.uk (Patrick Foulk)) Fuzzy Databases (ADOLFO@fapealsv.fapeal.br) Fuzzy Logic on VAX? (stohl%lnzx05@vai.co.at (Stohl Klaus BG48 413 3631)) Kosko - Fuzzy Thinking - UK Lectures (dsh@wish.demon.co.uk ("Darren S. Hague")) Conferences and Courses on Adaptive Systems (spie@henson.cc.wwu.edu (SPIE Staff)) ---------------------------------------------------------------------- From glen@eecs.berkeley.edu Thu, 3 Feb 1994 12:10:07 -0800 Date: Thu, 3 Feb 1994 12:10:07 -0800 From: Glen Ozawa Subject: from L.A. Zadeh =================================================================== TO: BISC Group FROM: L.A. Zadeh zadeh@cs.berkeley.edu There are many ways in which BISC could play an important role in the development of soft computing. One such way might be a compilation of references on a particular topic. A timely topic which appears to be a good candidate is: Application of Soft Computing to Handwriting Recognition. Dr. Homayoon Beigi of IBM has agreed to serve as the editor. If you know of any papers or reports on this topic, please send the information to: Dr. H. Beigi IBM Research Division Thomas J. Watson Research Center PO Box 704, Room J2-N41 Yorktown Heights, NY 10598 email: beigi@watson.ibm.com tel: 914-784-6626 fax: 914-784-7007 Additional topics: Application of Soft Computing to Automotive Systems and Manufacturing Editor: Dr. Irena Nagisetty Ford Motor Company Advanced Technology and Automation Development Department Engineering and Manufacturing Staff 24500 Glendale Ave. Detroit, MI 48239 email: NAGISETTY@comet.srl.ford.com tel: 313-592-2499, 313-592-2705 fax: 313-592-2381 Neurofuzzy Systems Editor: Dr. H. Berenji Artificial Intelligence Research Branch MS:269-2 NASA Ames Research Center Moffett Field, CA 94035 email: berenji@ptolemy.arc.nasa.gov tel: 415-604-6070 fax: 415-604-3594 Co-Editor: Dr. H. Takagi Central Research Laboratories Matsushita Electric Industrial Co., Ltd. 3-4, Hikaridai, Seika Souraku, Kyoto 619-02, JAPAN email: HTakagi@crl.mei.co.jp tel: +81-7749-8-2522 fax: +81-7749-8-2577 Application of Soft Computing to Power Systems Editor: Dr. M. Anvari Computer Science Division 571 Evans Hall University of California Berkeley, CA 94720 email: anvari@cs.berkeley.edu tel: 510-642-1042 fax: 510-642-5775 Please let me know if you have additional suggestions. Please cc to me your messages to the editors. =================================================================== ------------------------------ From kr94@ai.univie.ac.at Thu, 3 Feb 1994 20:56:10 GMT Date: Thu, 3 Feb 1994 20:56:10 GMT From: kr94@ai.univie.ac.at (KR94 Conference Service) Subject: KR94: Program and Conference Information KR'94 - Program and Registration Information Fourth International Conference on Principles of Knowledge Representation and Reasoning Gustav Stresemann Institut Bonn, Germany May 24-27, 1994 With support from the Gesellschaft fuer Informatik, the Austrian Society for Artificial Intelligence, the Canadian Society for Computational Studies of In- telligence, and the European Coordinating Committee on Artificial Intelli- gence; in cooperation with the American Association for Artificial Intelli- gence and the International Joint Conferences on Artificial Intelligence, Inc. ABOUT KR'94 KR'94, the first in its series to be held in Europe, provides a more intimate setting than that of general AI conferences for researchers studying explicit representations of knowledge manipulated by inference algorithms, which pro- vide an important foundation for much work in Artificial Intelligence from na- tural language to expert systems. The conference emphasizes both the theoretical principles of knowledge representation and reasoning and the relationships between these principles and their embodiments in working systems. Presented papers, invited talks, panels, and audience discussion will address the following important ques- tions: (1) What issues arise in representing and using knowledge about real problems, and how can they be addressed? (2) What are the theoretical principles in knowledge representation and rea- soning? (3) How can these principles be embodied in implemented knowledge representa- tion systems, and what practical tradeoffs arise? (4) How do these approaches to problems relate to corresponding approaches in other parts of AI (natural language, robotics, etc.) or in other fields (psychology, philosophy, logic, economics, cognitive science, computer science, management, engineering, etc.) LOCATION The KR'94 Conference will be held at the Gustav Stresemann Institut (GSI) in Bonn, Germany. The GSI is located just south of the downtown area within easy reach of the main train station. Major airports are Cologne/Bonn (with regular bus service to downtown Bonn), Duesseldorf (1 hour by train) and Frankfurt (2 hours by train). Registered participants will receive detailed information about the GSI and how to get there. CORRESPONDENCE KR'94 information: E-mail: kr94@cs.uni-bonn.de Regular KR'94 Mail: Institute of Computer Science III University of Bonn Roemerstr. 164 D-53117 Bonn Germany Phone: +49-228-550-281 Fax: +49-228-550-382 Automatic E-mail: If you send a message to kr94-info@cs.uni-bonn.de, a reply containing a copy of this announcement will be sent to the address in the sender field (without being read by a person). ORGANIZERS Conference Chair: Erik Sandewall, Department of Computer and Information Science, Linkoeping University, Sweden Program Chairs: Jon Doyle, Laboratory for Computer Science, MIT, USA Piero Torasso, Dipartimento di Informatica, Universita' di Torino, Italy Local Arrangements Chair: Gerhard Lakemeyer, Institute of Computer Science III, University of Bonn, Germany Publicity Chair: Werner Horn, Austrian Research Institute for Artificial Intelligence, Austria PROGRAM COMMITTEE Giuseppe Attardi (U. Pisa, Italy), Franz Baader (DFKI, Germany), Fahiem Bacchus (U. Waterloo, Canada), Philippe Besnard (IRISA, France), Piero Bonissone (GE, USA), Craig Boutilier (UBC, Canada), Ron Brachman (AT&T, USA) Maurice Bruynooghe (KUL, Belgium), Anthony Cohn (U. Leeds, UK), Ernest Davis (NYU, USA), Rina Dechter (UC Irvine, USA), Johan de Kleer (Xerox, USA), Oskar Dressler (Siemens, Germany), Jennifer Elgot-Drapkin (Arizona State U., USA), Richard Fikes (Stanford U., USA), Alan Frisch (U. York, UK), Hector Geffner (Simon Bolivar U., Venezuela), Georg Gottlob (TU Wien, Austria), Pat Hayes (U. Illinois, USA), Hirofumi Katsuno (NTT, Japan), Henry Kautz (AT&T, USA), Sarit Kraus (Bar-Ilan U., Israel), Maurizio Lenzerini (U. Rome, Italy), Vladimir Lifschitz (U. Texas, USA), David Makinson (Unesco, France), Joao Martins (IST, Portugal) David McAllester (MIT, USA), John-Jules Meyer (U. Amsterdam, Netherlands), Katharina Morik (U. Dortmund, Germany), Johanna Moore (U. Pittsburgh, USA), Hideyuki Nakashima (ETL, Japan), Bernhard Nebel (U Ulm, Germany), Hans Juergen Ohlbach (Max Planck Institut, Germany), Lin Padgham (Linkoeping U., Sweden), Peter Patel-Schneider (AT&T, USA), Ramesh Patil (USC/ISI, USA), Raymond Perrault (SRI, USA), David Poole (UBC, Canada), Henri Prade (IRIT, France), Anand Rao (AAII, Australia), Jeff Rosenschein (Hebrew U., Israel), Stuart Russell (UC Berkeley, USA), Len Schubert (U. Rochester, USA) Marek Sergot (Imperial College, UK), Lokendra Shastri (ICSI, USA), Yoav Shoham (Stanford U., USA), Lynn Stein (MIT, USA), Devika Subramanian (Cornell U., USA), William Swartout (USC/ISI, USA), Austin Tate (AIAI, Edinburgh, UK), Peter van Beek (U. Alberta, Canada), Michael Wellman (U. Michigan, USA) INVITED TALKS Beyond Ignorance-Based Systems, W. A. Woods --- Sun Microsystems Laboratories, Inc., USA The field of artificial intelligence has a long tradition of exploiting the potential of limited domains. While this is beneficial as a way to get start- ed and has utility for applications of limited scope, these approaches will not scale to systems with more open-ended domains of knowledge. Many "knowledge-based" systems actually derive their success as much from ignorance as from the knowledge that they contain. That is, they succeed because they don't know any better. Too great a reliance on a closed-world assumption and default reasoning in a limited domain can result in a system that is fundamen- tally limited and cannot be extended beyond its initial domain. If the field of knowledge-based systems is to move beyond this stage, we need to develop knowledge representation and reasoning technology that is more robust in the face of domain extensions. Nonmonotonic reasoning becomes a lia- bility if the fundamental abilities of a system can be destroyed by the addi- tion of knowledge from a new domain. This talk will discuss some of the chal- lenges that we must meet to develop systems that can handle diverse ranges of knowledge. Non Standard Theories of Uncertainty in Knowledge Representation and Reasoning Didier Dubois --- IRIT-CNRS Universite' Paul Sabatier, Toulouse, France The last 15 years have witnessed a noticeable but scattered research effort towards a rational theory of plausible reasoning. While Bayesian nets have recently blossomed in this area, the role of logic and symbolic representa- tions continue to be prominent. Besides, the monopoly of probability theory as a tool for modelling uncertainty has been challenged by alternative ap- proaches such as belief functions and possibility theory. Current efforts search for a knowledge representation framework that combines the merits of classical logic and Bayesian probability. The aim of this talk is to try and provide a perspective view of uncertainty theories in plausible reasoning. The lecture will touch on the following issues: - The use of ordering relations in uncertainty modelling and its link to non-monotonic reasoning. - The problem of compositionality, and the difference between partial truth (as in fuzzy logic) and uncertainty. - Why Bayesian probabilities might be questioned in reasoning tasks that are not decision-driven. - The importance of representing generic, exception-tolerant, knowledge as distinct from uncertain evidence in plausible reasoning tasks. - The analysis of three forms of belief change: updating, revision, and focusing and their role in defeasible inference systems. Knowledge Representation Issues in Integrated Planning and Learning Systems Jaime Carbonell --- Carnegie Mellon University, USA Advances in Machine Learning and in non-linear planning systems in Artificial Intelligence have proceeded somewhat independently of Knowledge Representation issues. In essence, both fields borrow from KR the very essentials (e.g. typed FOL, or simple inheritance methods), and then proceed to address other important issues. However, the increasing sophistication of integrated archi- tectures such as SOAR. PRODIGY and THEO at CMU (that combine problem solving, planning and learning) place new demands on their KR infrastructures. These demands include reasoning about strategic knowledge as well as factual knowledge, supporting representational shifts in domain knowledge, and meta- reasoning about the system's own reasoning and learning processes. The presentation will focus on the PRODIGY architecture and its needs and implica- tions for KR, especially when these may be in divergence with the primary ac- tive topics in modern KR research. PROGRAM Monday, May 23: Registration and informal get-together, 5:00-10:00 p.m. ____________________________________________________________ Tuesday, May 24: Plenary Session: Invited Talk 9:00 Beyond Ignorance-Based Systems William A. Woods (Sun Microsystems Laboratories, Inc., USA) 10:10 Break Track A: Description Logics I 10:30 A Framework for Part-of Hierarchies in Terminological Logics Lin Padgham and Patrick Lambrix (Linkoeping U., Sweden) 11:05 A Computational Account for a Description Logic of Time and Action Alessandro Artale and Enrico Franconi (IRST, Italy) 11:40 Probabilistic Reasoning in Terminological Logics Manfred Jaeger (Max Plank Institut, Germany) 12:15 Lunch Track B: Logics of Knowledge and Belief 10:30 Knowledge, Certainty, Belief, and Conditionalisation Philippe Lamarre and Yoav Shoham (Stanford, USA) 11:05 Belief Ascription, Its Existence and Uniqueness Ronen I. Brafman (Stanford, USA) and Moshe Tennenholtz (Technion, Israel) 11:40 Strong Circumscription in Epistemic Logic Wiebe van der Hoek (Utrecht U., Netherlands), Jan Jaspars and Elias Thijsse (Tilburg U., Netherlands) 12:15 Lunch Track A: Description Logics II 1:45 Foundations of a Unified Theory for Class-Based Representation Formalisms Diego Calvanese, Maurizio Lenzerini, Daniele Nardi (U. Roma, Italy) 2:20 Making the Difference: A Subtraction Operation for Description Logics Gunnar Teege (TU Munich, Germany) 2:55 Terminological Cycles and the Propositional Mu-Calculus Klaus Schild (DFKI, Germany) 3:30 Break Track B: Planning 1:45 Refinement Search as a Unifying Framework for Analyzing Planning Algorithms Subararao Kambhampati (Arizona State U., USA) 2:20 The Complexity of Approximately Optimal Planning Bart Selman (AT&T, USA) 2:55 Representing Uncertainty in Simple Planners Robert P. Goldman and Mark S. Boddy (Honeywell, USA) 3:30 Break Track A: Reasoning I 4:00 Enhancing the Power of a Decidable First-Order Reasoner Gerhard Lakemeyer and Susanne Meyer (U. Bonn, Germany) 4:35 A Decision Method for Nonmomotonic Reasoning Based on Autoepistemic Reasoning Ilkka Niemela (Helsinki U. of Technology, Finland) 5:10 Proofs in Context Giuseppe Attardi (ICSI, USA) and Maria Simi (U. Pisa, Italy) 5:45 End of session Track B: Logics of Preference and Utility 4:00 Toward a Logic for Qualitative Decision Theory Craig Boutilier (U. British Columbia, Canada) 4:35 Specification and Evaluation of Preferences for Planning Under Uncertainty Sek-Wah Tan and Judea Pearl (UCLA, USA) 5:10 Risk-Sensitive Planning with Decision Graphs Sven Koenig and Reid Simmons (CMU, USA) 5:45 End of session ____________________________________________________________ Wednesday, May 25: Track A: Multiagent Reasoning 9:00 Mutual Belief Revision Ron van der Meyden (NTT, Japan) 9:35 On Multiagent Autoepistemic Logic - an Extrospective View Yuejun Jiang (Imperial College, UK) 10:10 Break Track B: Temporal Reasoning 9:00 An Efficient Method for Managing Disjunctions in Qualitative Temporal Reasoning Alfonso Gerevini (IRST, Italy) and Lenhart Schubert (U. Rochester, USA) 9:35 Complexity Results for First-Order Theories of Temporal Constraints Manolis Koubarakis (Nat. Tech. U. of Athens, Greece) 10:10 Break Track A: Reasoning about the Physical World 10:30 Reasoning in Logic about Continuous Systems Benjamin J. Kuipers and Benjamin Shults (U. Texas, USA) 11:05 How Far Can We 'C'? Defining a 'Doughnut' using Connection Alone N. M. Gotts (U. Leeds, UK) 11:40 Spatial Reasoning with Propositional Logics Brandon Bennett (U. Leeds, UK) 12:15 Lunch Track B: Nonmonotonic Reasoning I 10:30 On the Relation Between Default and Modal Consequence Relations Alexander Bochman (Bar-Ilan U., Israel) 11:05 Preferential Entailments for Circumscriptions Yves Moinard (IRISA, France) 11:40 Conditional Objects as Nonmonotonic Consequence Relations Didier Dubois and Henri Prade (U. Paul Sabatier, France) 12:15 Lunch Track A: Panel 1:45 Exploiting Natural Language for KR&R Lenhart Schubert (U. Rochester, USA), moderator 4:00 Break Track B: Complexity of Reasoning 1:45 On the Complexity of Conditional Logics Nir Friedman (Stanford, USA) and Joseph Y. Halpern (IBM, USA) 2:20 Reasoning with Minimal Models: Efficient Algorithms and Applications Rachel Ben-Eliyahu (Technion, Israel) and Luigi Palopoli (U. Calabria, Italy) 2:55 Default Logic as a Query Language Marco Cadoli (U. Roma, Italy), Thomas Eiter and Georg Gottlob (TU Wien, Austria) 3:30 Break 5:00 Social event: Banquet Cruise on the Rhine ____________________________________________________________ Thursday, May 26: Plenary Session: Invited Talk 9:00 Non-Standard Theories of Uncertainty in KR&R Didier Dubois (U. Paul Sabatier, France) 10:10 Break Track A: Tractable Reasoning 10:30 Tractable Closed World Reasoning With Updates Oren Etzioni, Keith Golden, Daniel Weld (U. Washington, USA) 11:05 Tractable Databases: How to Make Propositional Unit Resolution Complete Through Compilation Alvaro del Val (Stanford, USA) 11:40 Constraint Tightness Versus Global Consistency Peter van Beek (U. Alberta, Canada) and Rina Dechter (UC Irvine, USA) 12:15 Lunch Track B: Theory of Action 10:30 Modalities Over Actions L. Thorne McCarty (Rutgers U., USA) 11:05 Actions with Indirect Effects G. Neelakantan Kartha and Vladimir Lifschitz (U. Texas, USA) 11:40 How to Progress a Database (and Why) I. Logical Foundations Fangzhen Lin and Raymond Reiter (U. Toronto, Canada) 12:15 Lunch Track A: Description Logics III 1:45 An Application of Terminological Logics to Case-Based Reasoning Jana Koehler (DFKI, Germany) 2:20 Action Representation and Natural Language Instructions Barbara Di Eugenio (CMU, USA) 2:55 Experimental Results on Learning in a Description Logic William W. Cohen (AT&T, USA) 3:30 Break Track B: Belief Revision 1:45 A Knowledge-Based Framework for Belief Change, Part II: Revision and Update Nir Friedman (Stanford, USA) and Joseph Y. Halpern (IBM, USA) 2:20 Transmutations of Knowledge Systems M.A. Williams (U. Newcastle, Australia) 2:55 REVISE: Extended Logic Programmming System for Revising Knowledge Bases Carlos Viegas Damasio and Luis Moniz Pereira (U. Nova de Lisboa, Portugal) and Wolfgang Nejdl (RWTH Aachen, Germany) 3:30 Break Track A: Knowledge Sharing and Ontology 4:00 An Ontology for Engineering Mathematics Thomas R. Gruber (Stanford, USA) 4:35 An Ontology of Meta-Level Categories Nicola Guarino and Massimiliano Carrara (LADSEB, Italy) and Pierdaniele Giaretta (U. Padova, Italy) 5:10 The Role of Reversible Grammars in Translating Between Representation Languages Jeffrey Van Baalen (U. Wyoming, USA) and Richard E. Fikes (Stanford, USA) 5:45 End of session Track B: Nonmonotonic Reasoning II 4:00 A General Approach to Specificity in Default Reasoning James P. Delgrande (Simon Fraser U., Canada) and Torsten H. Schaub (IRISA, France) 4:35 Defeasible Reasoning with Structured Information Anthony Hunter (Imperial College, UK) 5:10 On Positive Occurrences of Negation as Failure Katsumi Inoue (Toyohashi U., Japan) and Chiaki Sakama (ASTEM Kyoto, Japan) 5:45 End of session Plenary Session: Panel 8:00 Theory vs Systems vs ...: KR&R Research Methodologies Lin Padgham (Linkoeping U., Sweden), moderator ____________________________________________________________ Friday, May 27: Plenary Session: Invited Talk 9:00 Knowledge Representation Issues in Integrated Planning and Learning Systems Jaime Carbonell (CMU, USA) 10:10 Break Track A: Reasoning II 10:30 Generating Tests Using Abduction Sheila McIlraith (U. Toronto, Canada) 11:05 Means-End Plan Recognition--Towards a Theory of Reactive Recognition Anand S. Rao (AAII, Australia) 11:40 An Integrated Implementation of Simulative, Uncertain and Metaphorical Reasoning about Mental States J. A. Barnden, S. Helmreich, E. Iverson, and G. C. Stein (New Mexico State U., USA) 12:15 Lunch & End of conference Track B: Search and Deduction 10:30 GSAT and Dynamic Backtracking Matthew L. Ginsberg (U. Oregon, USA) 11:05 Easy to be Hard: Difficult Problems for Greedy Algorithms Kurt Konolige (SRI, USA) 11:40 Directional Resolution: the Davis-Putnam Procedure, Revisited Rina Dechter and Irina Rish (UC Irvine, USA) 12:15 Lunch & End of conference PROCEEDINGS As in previous years, Morgan Kaufmann will be the distributor of the proceed- ings. REGISTRATION Due to space limitations and the success of earlier KR conferences, early registration is strongly recommended. FEE SCHEDULE (all fees are in German marks) Early: Registration and payment received by April 15, 1994 Regular DM 600 Student DM 330 Banquet DM 80 (optional) Late: Registration or payment received after April 15, 1994 Regular DM 700 Student DM 400 Banquet DM 80 (optional) The registration fee entitles participants to + attend all Invited Lectures, Technical Sessions, and Panels + receive all conference documentation including the conference proceedings + attend the reception on Monday + lunch and dinner during the time of the conference + morning and afternoon refreshments HOUSING We reserved rooms at the Gustav Stresemann Institut at the following rates (per night and per person, breakfast included): single room DM 95 double room DM 75 Rooms will be allocated at a first-come first-served basis. We reserve the right to change a reservation from double to single room if demand exceeds supply. To book a room, please fill in the room reservation section on the registra- tion form and return it to the conference office. Please note that rooms can- not be occupied before 5 p.m. on Monday, May 23. However, it is possible to stay at the GSI over the weekend following the conference (Friday-Sunday). Rooms need to be prepaid at the time of registration except for extra nights following the conference. SOCIAL EVENTS On Monday evening, 5:00-10:00 p.m., a buffet style dinner will be offered to set the stage for an informal get-together. The banquet on Wednesday evening will be a knight's meal at the castle of Linz. The participants will be taken to Linz by boat. The boat will sail along the beautiful Rhine valley and also pass by the historically interesting bridge of Remagen. This was the very last bridge destroyed by the Germans at the end of World War II. AIRLINE DISCOUNT FARES (U.S.) Special discount fares on Delta Airlines have been arranged for KR'94 atten- dees traveling from the U.S. to Germany. To take advantage of these fares, you must call Young's Travel/American Express at 1-800-682-0141 between 8 a.m. and 6 p.m. E.S.T. and identify yourself as a KR'94 attendee. In addition to the lowest available airfares quoted at the time of ticketing, they offer a 5% reduction on fares booked on B and Y class. (Some restrictions apply.) CANCELLATION AND REFUNDS A written notification of cancellation must be sent to the conference office. If received before May 2 all fees, except for a cancellation charge of DM 50, will be refunded. We regret that no refunds can be made for cancellations re- ceived after May 2. INSURANCE The Local Arrangements Committee can accept no liability for personal inju- ries, or for loss or damage to property belonging to conference participants, either during or as a result of the conference. Please check the validity of your personal insurance. SUPPORT FOR PARTICIPANTS FROM EAST EUROPEAN COUNTRIES AND COUNTRIES OF THE FORMER USSR We have applied for funds to partially subsidize conference participants from East European countries including countries of the former USSR. Participants of KR'94 from these countries who wish to apply for such subsidy should send an e-mail message IMMEDIATELY to kr94-subsidy@cs.uni-bonn.de to obtain further instructions. If you do not have e-mail access, you should send a fax or write to KR'94 Subsidy Program Institute of Computer Science III University of Bonn Roemerstr. 164 D-53117 Bonn Germany Fax: +49 228 550 382 Please note that there is no guarantee that any funding will be available. HOW TO REGISTER 1. Fill in the registration form 2. Payment Your payment must be for the total amount in German marks. In Germany: Payment may be made by - money transfer (see bank account information below) - cheque, payable to "KR Inc., c/o Gerhard Lakemeyer" Outside Germany: Payment may be made by - SWIFT money transfer (see bank account information below), free of charges to the beneficiary - Bank Draft or International Money Order, free of charges to the beneficiary, payable to "KR Inc., c/o Gerhard Lakemeyer" Outside Germany, personal and company cheques are not accepted. We regret that it is not possible to accept Euro Cheques or Credit Cards. Please, make sure that your own name is clearly legible in order to ensure that your payment will be correctly registered. Bank Account Information: Bank: Volksbank Bonn Beneficiary: "KR Inc., c/o Gerhard Lakemeyer" Account No: 1602522012 Bank code: 380 601 86 SWIFT code: DGWGDEDW31860 3. Return the registration form and cheque, draft or money order (if applicable) to: Christine Harms c/o GMD KR'94 Schloss Birlinghoven D-53757 Sankt Augustin Germany 4. In order to receive the early registration discount rate, your registration and payment must be received by April 15, 1994. Confirmations may not be mailed for registrations received after April 15. 5. Spaces will be allocated on a first-come first-served basis to the maximum that the facility can accommodate. Therefore, participants are strongly ad- vised to register as soon as possible. 6. On-site registration is possible at the late registration fee. In that case, the only acceptable form of payment is cash. REGISTRATION FORM Print out the form below on paper, fill it in and return it with your cheque, draft or money order (if applicable) to the address below. Electronic mail registrations are *not* allowed. Christine Harms c/o GMD KR'94 Schloss Birlinghoven D-53757 Sankt Augustin Germany Name _________________________________________________________________ Title ________________________________________________________________ Organization/Affiliation _____________________________________________ ______________________________________________________________________ Mailing Address ______________________________________________________ ______________________________________________________________________ ______________________________________________________________________ Zip/Postal Code _____________________ Country _______________________ Telephone ___________________________________________________________ Fax __________________________________________________________________ Internet E-mail address _____________________________________________ Are you presenting a paper at the conference? Yes ___ No ___ Check here if you have a disability that requires special needs. _______ Please explain _________________________________________________________ ________________________________________________________________________ The GSI offers both vegetarian and non-vegetarian meals. Please indicate any other dietary restrictions (honored to the best of our ability): ________________________________________________________________________ REGISTRATION/BANQUET: Early Registration Late Registration Conference fee DM ______________ DM _____________ Student fee DM ______________ DM _____________ Banquet fee ___ Persons x 80 = DM ______________ DM _____________ ACCOMMODATION: single: ___ nights x 95 DM ______________ double: ___ nights x 75 DM ______________ Please prepay only for nights during the conference (Monday night - Thursday night). Extra nights should be paid directly to GSI at the time of the conference. Please indicate: Arrival (date, time): ___________________________________________________ Departure (date, time): _________________________________________________ Roommate (for double rooms): ____________________________________________ TOTAL: (Registration + Banquet + Accommodation) DM ________________ Please indicate your form of payment below: __ Cheque, draft, or money order (must be included with the registration) __ Money transfer Date: ___________________________________________________________________ Signature: ______________________________________________________________ Note: Registrations received by April 15, 1994 will receive the early regis- tration discount rate. Confirmations may not be mailed for registrations re- ceived after April 15. ------------------------------ From desilva@mech.ubc.ca 3 Feb 1994 16:49 -0800 Date: 3 Feb 94 16:49 -0800 From: "Clarence de Silva, Ph.D." Subject: Call for Papers The International Mechanical Engineering Congress and Exposition (Formerly, ASME WAM) November 6-11, 1994, Chicago, Illinois ====================================== Papers are invited by the Expert Systems and AI Committee of the ASME Dynamic Systems and Control Division for several sessions on Intelligent Process Control, Fuzzy Logic and Neural Networks in Control, and Instrumentation of Intelligent Control Systems, at the above annual conference. Controls-related topics in these three areas, dealing with research, development, or industrial applications will be suitable. Please submit three copies of 500- to 1000-word abstracts by February 15, to the Committee Chairman: Clarence de Silva NSERC Prof. of Industrial Automation Dept. of Mechanical Engineering University of British Columbia 2324 Main Mall Vancouver, B.C. Canada V6T 1Z4 Fax: (604) 822-2403 Authors will be notified of abstract acceptance by March 15. Complete manuscripts are due by April 15; and the camera-ready versions are due July 1, 1994. Note: This is the largest, oldest, and most-reputed conference of the American Society of Mechanical Engineers. Thank you. ------------------------------ From piater@adam.cs.TU-Magdeburg.DE 31 Jan 1994 13:20:08 +0100 Date: 31 Jan 1994 13:20:08 +0100 From: piater@adam.cs.TU-Magdeburg.DE (Justus Piater) Subject: Shaping Fuzzy Sets using Statistical Data Hi All, I am currently developing some kind of fuzzy classifier which is to assess the suitability of given samples for one given class, i.e. no distinction between different classes has to be made but only one fuzzy "yes-no" property is assigned according to a set of criteria. There is one membership function to each criterion, the shape of which is determined using pre-assessed training samples. This is done by establishing the histogram. The "suitability" values are obtained by dividing the appropriate frequency by the max. frequency of the histogram, yielding values between 0 and 1. What is the semantic relationship between "frequency" and "suitability" or "membership of a fuzzy set", respectively? Has anyone had any experience or research in this area? The only source of literature I have found so far is the following (which I am currently trying to get): Civanlar/Trussell: Constructive Membership Functions Using Statistical Data in: Fuzzy Sets and Systems 18 (1986) Any hints or pointers to literature are greatly appreciated. Justus ----------------------------------------------------------------------- | Cand. Inform. Justus Piater | | TU "Otto von Guericke" Magdeburg Jesus Christ: | | piater@iik.cs.tu-magdeburg.de | | (+49) 0391/5592-2745 "I came that they might have | | life, and might have it | | home: Virchowstr. 29 abundantly!" | | D-39104 Magdeburg (John 10:10) | | Germany | ----------------------------------------------------------------------- ------------------------------ From tfq@aplcomm.jhuapl.edu Fri, 4 Feb 1994 15:44:06 GMT Date: Fri, 4 Feb 1994 15:44:06 GMT From: tfq@aplcomm.jhuapl.edu (Therese Quaranta) Subject: Fuzzy Sets and Systems Here is the address that was requested for the publication "Fuzzy Sets and Systems:: Elsevier Science Attn: Heleen A.C. Gierveld P.O. Box 1991 1000 BZ Amsterdam The Netherlands or Elsevier Science Attn: Judy Weislogel P.O. Box 945, Madison Square Station New York, NY 10160-0757 _______________________________________________________________________________ Therese Quaranta Johns Hopkins University Applied Physics Laboratory ------------------------------ From gates@aen.uky.edu Fri, 04 Feb 1994 13:06:51 PST Date: Fri, 04 Feb 94 13:06:51 PST From: gates@aen.uky.edu Subject: Re: Fuzzy Logic in Agriculture-Applications? There are at least 2 lists: ag-exp-l and agmodels-l that have a large group of agricultural researchers reading on a regular basis. You might check there. We are working on using a fuzzy controller for economic optimization and environment control for greenhouse production. But haven't gotten too far yet, just lots of ideas! I also recall a paper presented at an annual meeting about 1989 on using FL for minimum ventilation. The author was a post-doc in agricultural engineering at U of IL. ------------------------------ From jmarkus@elvis.dr.att.com Sat, 5 Feb 1994 00:35:13 GMT Date: Sat, 5 Feb 1994 00:35:13 GMT From: jmarkus@elvis.dr.att.com (John W. Markus) Subject: FuzzyHardware Hello all. I'm working on my masters thesis, and am going to impliment fuzzy logic into a motor controller. The major concern at this point is how fast fuzzy hardware can run. The outer-loop of the control, ie the speed of the motor, thermal limits, etc. will not need to be more than 10Hz, but the inner loop that actually controlls the motor will have to be on the order of ‾20kHz. Is this too fast for the fuzzy devices available? I've heard of several different types of hardware chips that can either perform fuzzy functions or be downloaded assembled fuzzy code. Has anyone out there used any device that they liked/hated? Any suggestions on what to look for/aviod would be *greatly* appreciated. Thanx- John- jmarkus@drmail.att.com OR jmarkus@mines.colorado.edu ------------------------------ From kdmoss@icaen.uiowa.edu Sun, 6 Feb 1994 16:44:02 -0600 Date: Sun, 6 Feb 1994 16:44:02 -0600 From: Keith Douglas Moss Subject: Conference Proceedings Hi, I'm trying desperately to get my hands on the following conference proceedings: Proceedings of the 4th IFSA Congress 1991 Proceedings of the 3rd IFSA Congress 1989 My university's inter-library loan department tells me that they "cannot confirm it's existence". Yeah, right. Any help would be greatly appreciated!!! ---------------------------------------- Keith Moss Support&Development - CADSI - Computer Aided Design Software Inc. makers of DADS - Dynamic Analysis & Design System Grad Student - University of Iowa ---------------------------------------- ------------------------------ From RNAGISE@uoft02.utoledo.edu Sun, 06 Feb 1994 19:23:16 -0500 (EST) Date: Sun, 06 Feb 1994 19:23:16 -0500 (EST) From: RNAGISE@uoft02.utoledo.edu Subject: 27th International Symposium on Advanced Transportation Applications ISATA-27 31st October - 4th November, 1994 Aachen, Germany Special Session on "Innovative Computer Aided Engineering" which may include: * Object oriented programming * Fuzzy Logic * Neural Networks * Genetic Algorithms * Advanced Control Technology You are invited to participated in this symposium. Please let me know if you can attend and if you have a paper to contribute to this session. The deadline for abstracts (not to exceed 150 words) is March 14th, 1994. Look forward to hear from you ASAP. Thank You, Dr. Irena Nagisetty (chair). FORD Motor Company Alpha Manufacturing Development Center 24500 Glendale Ave Detroit, Mi. 48239 USA E-mail address: nagisetty@comet.srl.ford.com OR rnagise@uoft02.utoledo.edu ------------------------------ From marks@u.washington.edu 7 Feb 1994 07:15:54 GMT Date: 7 Feb 1994 07:15:54 GMT From: marks@u.washington.edu (Robert Marks) Subject: CD ROM Proceedings for FUZ-IEEE `93 and ICNN `93 CD-ROMs were produced for by the IEEE NNC for both the 1993 ICNN and 1993 FUZZ-IEEE (San Francisco). Enrique Ruspini, General Chair for both conferences, is the person to contact for information on how to obtain copies (ruspini@ai.sri.com). Hard copy proceedings are available from IEEE. There was also a great video tape produced for the conferences. It showed classic clips, like Widrow's truck backer upper, as well as new projects, like Berenji's fuzzy beam balancer and Sugeno's fuzzy helicopter. These are available from the IEEE Educational Activities Board (1 800 678 IEEE). ------------------------------ From pwf@cee.hw.ac.uk Mon, 7 Feb 1994 13:36:43 GMT Date: Mon, 7 Feb 1994 13:36:43 GMT From: pwf@cee.hw.ac.uk (Patrick Foulk) Subject: IEE Colloquium IEE COMPUTING AND CONTROL DIVISION Colloquium organised by Professional Group C2 (Hardware and Systems Engineering) on "Hardware Implementation of Neural Networks and Fuzzy Logic" to be held at Savoy Place on Wednesday, 9th March, 1994 at 10.30 am There is considerable activity in the fields of neural networks and fuzzy logic. Much research has been performed over the last few years, but most of this has been based on implementations simulating such systems with software running on conventional von Neuman processors. However, the benefits of such systems can be enhanced by using other types of implementation. Either special purpose hardware, or the use of non-von Neuman computing paradigms frequently can give considerable performance benefits. Accordingly, PGC2 is organising a one-day colloquium covering developments in hardware implementations of both Neural Networks and Fuzzy Logic. PROGRAM Time 10.00 Registration and coffee Chairman: Patrick Foulk (Heriot-Watt University) 10.30 Chairman's introduction 10.35 Implementing Neural Networks in FPGAs D. Dent and X. Yu University of Luton 11.05 FPGA Implementation of a Neural Network Accelerator D.S. Reay and T.C.Green Heriot-Watt University 11.35 Hardware Implementation of Boolean Neural Networks R. Haycock and T. York UMIST 12.05 Lunch 13.30 A Family of VLSI Neural Processors for Real-time Applications H. Boulari and P Morgan University of Hertfordshire 14.00 An Integrated Neural Network Incorporating a Novel Synapse Design D.E. Johnson, J.S. Marsland and W. Eccleston University of Liverpool 14.30 A Study of Noise in PWM Neural Networks P.J. Griffiths, J.S. Marsland and W. Eccleston University of Liverpool 15.00 Tea 15.15 A New Class of Analogue CMOS Neural Network Circuits J.E. Ngolediage, R.N.G. Naguib and S.S. Dlay University of Newcastle upon Tyne 15.45 Novel Analogue CMOS Defuzzification Circuit Technique S. Pammu and S.F. Quigley University of Birmingham 16.15 A Systolic Array Circuit for the Fuzzy Inference Process T. Thiessenhusen, A Schackow and R Schuffny Technische Universitat, Dresden 16.45 Discussion and Close at 17.00 ___________________________________________________________________ FEES The fees for attending the colloqium are: IEE Members z42.00 (includes VAT @ z6.26) IEE Retired, Unemployed and Student Members: No charge Non-members: z70.00 (includes VAT @ z10.43) Retired, unemployed and student non-members : z21.00 (includes VAT at z3.13) Lunch ticket: z7.25 (includes VAT @ 1.08) Enquiries should be made to: Claire Coleshill, IEE Savoy Place London WC2R 0BL Tel: 071-240-1871 Fax: 071-497-3633 Telex 261176 IEELDN-G ------------------------------ From ADOLFO@fapealsv.fapeal.br 7 Feb 1994 16:21:33 EST-0300GMT Date: 7 Feb 94 16:21:33 EST-0300GMT From: ADOLFO@fapealsv.fapeal.br Subject: Fuzzy Databases Hi, I have recently graduated from federal university of alagoas (maceio', Brazil) and my graduation work was "a fuzzy relational data model". The model is based on the idea of fuzzy relation present in the papers "PRUF", by L.A.Zadeh and "A Fuzzy Relational Inference Language", by J.F.Baldwin and S.Q.Zhou. I would like to know if somenone has more information (books, papers) about the use of the theory of fuzzy sets in databases. * ** Adolfo Gustavo Serra Seca Neto *** State Science Foundation of Alagoas (FAPEAL) ** Systems Analyst * ------------------------------ From stohl%lnzx05@vai.co.at Tue, 8 Feb 1994 11:09:52 +0100 Date: Tue, 8 Feb 94 11:09:52 +0100 From: stohl%lnzx05@vai.co.at (Stohl Klaus BG48 413 3631) Subject: Fuzzy Logic on VAX? Klaus Stohl VOEST-Alpine Industrieanlagenbau GmbH. Dept.: TAP1 A-4031 Linz, Turmstr. 44 Phone: +43-732-592-3631 Fax: +43-732-592-2089 Email: stohl@vai.co.at ============================================================================ Hi everybody in the net, does anybody have some information about fuzzy logic tools running on a VAX 4000/90? thank you and best regards Klaus Stohl ------------------------------ From dsh@wish.demon.co.uk 8 Feb 1994 09:09:45 -0700 Date: 8 Feb 1994 09:09:45 -0700 From: dsh@wish.demon.co.uk ("Darren S. Hague") Subject: Kosko - Fuzzy Thinking - UK Lectures Fuzzy Thinking - The New Science of Fuzzy Logic by Bart Kosko, University of Southern California UK Lecture Dates: 21st-24th February 1994, details below. ABSTRACT Japanese and Korean corporations have invested billions in utilising fuzzy logic in technological innovation. You may already run a car driven by a fuzzy gearbox and transmission, own a washing machine that adapts to its load, work in an office cooked by a fuzzily sensitive air conditioner, or film the world with a fuzzy, but perfectly focused, camcorder. Smart machines are the next wave in consumer technology; and every self-respecting smart machine is a fuzzy machine. Drawing equally on the two cultures, scientific and philosophical, that underly the fuzzy worldview, Kosko will map out the grounds on which a fuzzy approach can be advocated. He will argue that the Aristotelian binary system, one that trades accuracy for simplicity, has prevailed in the West for far too long. That system's black and white truths have been entirely undermined by the revolution embedded in the destabilising discoveries made by the 20th century's greatest mathematicians and physicists. Kosko will urge his audience to abandon this binary world, and turn to the East: for the future is *fuzzy*. Bart Kosko is in the UK to launch his new book on "Fuzzy thinking - the new science of fuzzy logic", published by Harper-Collins. he is also author of the best-selling textbook on "Neural networks and fuzzy systems" and is Chairman of a number of international conferences on the subject. He is currently based at the University of Southern California and lives in Los Angeles. LECTURE DATES Monday 21st February 8.45am BBC Radio 4, 'Start the week' Noon-2pm Imperial College: Lecture 1pm-2pm Meet at Physics building, Blackett Lab, Prince Consort Road Contact: Gidon Moont, 071-589-5111 (x6938) Tuesday 22nd February noon-2pm Brunel University, Kingston Lane, Uxbridge Lecture 1pm-2pm at Electrical Engineering Dept. (Howell Building) Contact: Prof. John Stonham, 0895 274000 5.30pm IEE Lecture, Savoy Place, London WC2R Group C4 (Artificial Intelligence) Contact: Angela Stanfield, 071-344-5416 Wednesday 23rd February 6.30pm British Computing Society Lecture Anatomy Building, University College, Gower Street Contact: Dr. Jaz Saggu, 0234-750111 (x5123) Thursday 24th February 3.00pm Warwick University Lecture Room 2, Mathematics Institute Contact: Prof. Ian Stewart, 0203 523740 -- Darren Hague WiSH Media Solutions dsh@wish.demon.co.uk Phone: +44/081 574 5979 Consultancy * Graphics * Animation * Software Engineering ------------------------------ From spie@henson.cc.wwu.edu Tue, 8 Feb 1994 23:29:02 GMT Date: Tue, 8 Feb 1994 23:29:02 GMT From: spie@henson.cc.wwu.edu (SPIE Staff) Subject: Conferences and Courses on Adaptive Systems Conferences and Short Courses on: Adaptive Systems ---------------- at SPIE's International Symposium on Optical Engineering in Aerospace Sensing 4-8 April 1994 Marriott's Orlando World Center Resort and Convention Center Orlando, Florida, USA ============================================================ -------- Contents -------- 1.0 Technical Conferences 2.0 Educational Short Courses 3.0 How to Receive More Information ------------------------- 1.0 Technical Conferences ------------------------- Wavelet Applications -------------------- Tuesday-Friday 5-8 April 1994 * SPIE Proceedings Vol. 2242 Conference Chair: Harold H. Szu, Naval Surface Warfare Ctr. Applications of Artificial Neural Networks V -------------------------------------------- Tuesday-Friday 5-8 April 1994 * SPIE Proceedings Vol. 2243 Conference Chairs: Steven K. Rogers, Dennis W. Ruck, Air Force Institute of Technology Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry ---------------------------------------------------------------- Tuesday-Wednesday 5-6 April 1994 * SPIE Proceedings Vol. 2244 Cooperating Organizations: AAAI-American Association for Artificial Intelligence The Systems, Man and Cybernetics Society of the IEEE Conference Chairs: Wray Buntine, NASA Ames Research Ctr.; Doug H. Fisher, Vanderbilt Univ. Adaptive Computing: Mathematics, Electronics, and Optics -------------------------------------------------------- Monday-Tuesday 4-5 April 1994 * SPIE Proceedings Vol. CR55 Conference Chairs: Su-Shing Chen, Univ. of North Carolina/Charlotte; H. John Caulfield, Alabama A&M Univ. ----------------------------- 2.0 Educational Short Courses ----------------------------- * SC59 Wavelet Theory and Applications Instructor: Harold H. Szu, Naval Surface Warfare Ctr. SPIE Member $275 Full-day Course Working Group Member $305 8:30 am to 5:30 pm Nonmember $325 Monday All Day 4 April * SC60 Fuzzy Logic and Neural Networks Instructor: James C. Bezdek, Univ. of West Florida SPIE Member $275 Full-day Course Working Group Member $305 1:00 to 9:00 pm Nonmember $325 Monday All Day 4 April ----------------------------------- 3.0 How to Receive More Information ----------------------------------- The complete text of the printed advance technical program for Aerospace Sensing is available via anonymous FTP at: mom.spie.org meetings/programs/aero_sense_aptics.txt aero_sense_conferences.txt aero_sense_courses.txt aero_sense_general.txt It is also available through SPIE's automated e-mail server: Send an e-mail message to, info-optolink-request@mom.spie.org with the following text in the message body: send [optolink.meetings.programs]FILENAME.txt To request a printed advance technical program or APTICS program via e-mail contact: spie@mom.spie.org For information regarding this meeting or other SPIE symposia or publications, contact SPIE at: P.O. Box 10 Bellingham, WA 98227-0010 USA Telephone: 206/676-3290 (Pacific Time) Telefax: 206/647-1445 Telex: 46-7053 E-mail: spie@mom.spie.org Anonymous FTP: mom.spie.org. This advance technical program is based on commitments received up to the time of publication and is subject to change without notice. ---------------------------------------------------------------- SPIE is a nonprofit society dedicated to advancing engineering and scientific applications of optical, electro-optical, and optoelectronic instrumentation, systems and technology. Its members are scientists, engineers, and users interested in the reduction to practice of these technologies. SPIE provides the means for communicating new developments and applications to the scientific, engineering, and user communities through its publications, symposia, and short courses. SPIE is dedicated to bringing you quality electronic media and online services. ------------------------------ End of Digest ************************ Contents: EMCSR'94 European Meeting on Cybernetics and Systems Research (sec@ai.univie.ac.at) Fuzzy Queries on Databases (ronj@mcf.roc.wayne.edu (ron jachim)) looking for postdoc (SYSADMIN@pcper1.unifr.ch (System Administration User)) Historical overview of #(papers) or #(patents) (wattel@eb.ele.tue.nl (Bart Jan Wattel)) Fuzzy String Compare (hobbsc@netcom.com (Craig A. Hobbs)) AI applied to musical scores (timb@sr.hp.com (Tim Bagwell)) [Frequently Asked Questions] Fuzzy-Mail (fuzzy-owner@vexpert.dbai.tuwien.ac.at) MEPP 94 (PEKLUND@finabo.abo.fi) + operation (Lu.Nguyen@brunel.ac.uk (Lu D Nguyen)) Re: Fuzzy membership functions question (tanaka@til.com (Yokichi Tanaka)) Re: FLISP (tanaka@til.com (Yokichi Tanaka)) Re: Fuzzy Queries on Databases (Roy George ) call_for_paper (inde8p2@jane.uh.edu (Liu, Lujun)) ANNIE'94, Fuzzy Logic in Medicine and Biology (akay@gandalf.rutgers.edu (Metin Akay)) Fuzzy String Compare (ronj@mcf.roc.wayne.edu (ron jachim)) Re: FLISP (bruno@isoft.com.ar (Bruno R. Depascale)) New Book (rsun@cs.ua.edu (Ron Sun)) Re: Historical overview of #(papers) or #(patents) (marks@u.washington.edu (Robert Marks)) searching for fuzzy prolog (cervai@hp2.sm.dsi.unimi.it (FUZZYMAN)) Research Position ("Dr. Aivars Celmins (ACISD/CSTD/CMB)" ) From L.A. Zadeh re BISC (Glen Ozawa ) NEED:info Slinding Mode Fuzzy Control (al151855@dialab22.mty.itesm.mx (Raul Rubio Quintero Marmol)) Call for Paper,ISPACS'94 (kimihiro@higuchi.ecei.tohoku.ac.jp (Kimihiro Ohki)) ---------------------------------------------------------------------- From sec@ai.univie.ac.at Wed, 9 Feb 1994 14:36:11 GMT Date: Wed, 9 Feb 1994 14:36:11 GMT From: sec@ai.univie.ac.at Subject: EMCSR'94 European Meeting on Cybernetics and Systems Research * * * * * TWELFTH EUROPEAN MEETING * * ON * * CYBERNETICS AND SYSTEMS RESEARCH * * (EMCSR 1994) * April 5 - 8, 1994 UNIVERSITY OF VIENNA organized by the Austrian Society for Cybernetic Studies in cooperation with Dept.of Medical Cybernetics and Artificial Intelligence, Univ.of Vienna and International Federation for Systems Research Plenary lectures: ***************** MARGARET BODEN (United Kingdom): "Artificial Intelligence and Creativity" STEPHEN GROSSBERG (USA): "Neural Networks for Learning, Recognition, and Prediction" STUART A. UMPLEBY (USA): "Twenty Years of Second Order Cybernetics" 241 papers will be presented and discussed in the following symposia: ********************************************************************* GENERAL SYSTEMS METHODOLOGY G.J.Klir (USA) ADVANCES IN MATHEMATICAL SYSTEMS THEORY J.Miro (Spain), M.Peschel (Germany), F.Pichler (Austria) FUZZY SYSTEMS, APPROXIMATE REASONING AND KNOWLEDGE-BASED SYSTEMS C.Carlsson (Finland), K.-P.Adlassnig (Austria), E.P.Klement (Austria) DESIGNING AND SYSTEMS, AND THEIR EDUCATION B.Banathy (USA), W.Gasparski (Poland), G.Goldschmidt (Israel) HUMANITY, ARCHITECTURE AND CONCEPTUALIZATION G.Pask (United Kingdom), G.de Zeeuw (Netherlands) BIOCYBERNETICS AND MATHEMATICAL BIOLOGY L.M.Ricciardi (Italy) SYSTEMS AND ECOLOGY F.J.Radermacher (Germany), K.Fedra (Austria) CYBERNETICS AND INFORMATICS IN MEDICINE G.Gell (Austria), G.Porenta (Austria) CYBERNETICS OF SOCIO-ECONOMIC SYSTEMS K.Balkus (USA), O.Ladanyi (Austria) SYSTEMS, MANAGEMENT AND ORGANIZATION G.Broekstra (Netherlands), R.Hough (USA) CYBERNETICS OF COUNTRY DEVELOPMENT P.Ballonoff (USA), T.Koizumi (USA), S.A.Umpleby (USA) COMMUNICATION AND COMPUTERS A M.Tjoa (Austria) INTELLIGENT AUTONOMOUS SYSTEMS J.Rozenblit (USA), H.Praehofer (Austria) CYBERNETIC PRINCIPLES OF KNOWLEDGE DEVELOPMENT F.Heylighen (Belgium), S.A.Umpleby (USA) CYBERNETICS, SYSTEMS AND PSYCHOTHERAPY M.Okuyama (Japan), H.Koizumi (USA) ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE SYSTEMS S.Grossberg (USA), G.Dorffner (Austria) ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE V.Marik (Czech Republic), R.Born (Austria) TUTORIALS: ********** A SYNTACTIC APPROACH TO HEURISTIC NETWORKS: LINGUISTIC GEOMETRY Prof.Boris Stilman, University of Colorado, Denver, USA FUZZY SETS AND IMPRECISE BUT RELEVANT DECISIONS Prof.Christer Carlsson, Abo Akademi University, Abo, Finland CONTEXTUAL SYSTEMS: A NEW TECHNOLOGY FOR KNOWLEDGE BASED SYSTEM DEVELOPMENT Dr.Irina V. Ezhkova, Russian Academy of Science, Moscow TWENTY YEARS OF SECOND ORDER CYBERNETICS Prof.Stuart A. Umpleby, George Washington University, Washington, D.C., USA PROCEEDINGS: ************ Trappl R.(ed.): CYBERNETICS AND SYSTEMS '94, 2 vols, 1911 pages, World Scientific Publishing, Singapore. FOR FURTHER INFORMATION PLEASE CONTACT: *************************************** EMCSR'94 Secretariat c/o Austrian Society for Cybernetic Studies Schottengasse 3 A-1010 Vienna Austria Phone: +43-1-53532810 Fax: +43-1-5320652 E-mail: sec@ai.univie.ac.at -- paolo petta +43-1-5336112(Tel) Austrian Research Inst. for Artificial Intelligence +43-1-5320652(Fax) Schottengasse 3, A-1010 Vienna, Austria, Europe paolo@ai.univie.ac.at ------------------------------ From ronj@mcf.roc.wayne.edu Wed, 9 Feb 1994 14:19:39 EST Date: Wed, 9 Feb 94 14:19:39 EST From: ronj@mcf.roc.wayne.edu (ron jachim) Subject: Fuzzy Queries on Databases I am interested infuzzy queries on alphanumeric databases. For example, a database might contain an age field (storing age as the number of years since birth). I want to be able to send a query like this: SELECT * FROM patient_table WHERE age = young and get back an appropriate response. Are there any such commercial systems? Are there any working prototypes? Who is doing academic work along these lines? Thanks in advance for any help, Ron Jachim Epidemiology Division Michigan Cancer Foundation email: ronj@mcf.roc.wayne.edu ------------------------------ From SYSADMIN@pcper1.unifr.ch Wed, 9 Feb 1994 17:04:23 GMT Date: Wed, 9 Feb 1994 17:04:23 GMT From: SYSADMIN@pcper1.unifr.ch (System Administration User) Subject: looking for postdoc I am a doctorate student currently terminating my thesis. I am looking for an interesting postgraduate position abroad. I will recieve a study grant from the Swiss government for this period. I would be happy to work with artificial life, parallel computing or AI. My thesis work involved developing and testing a dynamic allocator using distributed intelligence. An allocator strategy is specified using fuzzy logic rules which are then optimized using a neuronal net. The main test application was task allocation for MIMD parallel computers. I am now testing the allocator with similar problems such as priority dispatching in a job shop. Bibliography "A scheduling problem on an iPSC/2 Hypercube", EDMCC2, Munich, 1991. "An Implementation of SCHEME on a iPSC/2", Intel Supercomputer Usesrs Group, European meeting, Lyon, 1992. Quantification de la musculature lisse intrapinienne avec un algorithme de logique floue. Annales d'urologie, Sociiti d'Edition des Htpitaux de Paris. No. 3 - 1993. "Fuzzy Logic controller dynamic allocation system", 13th international joint conference on artificial intelligence, Chambery 1993. "A Neuro Fuzzy Rule Based Allocation System", International Conference Massively Parallel Processing Applications and Development, TUDelft 1994. ------------------------------ From wattel@eb.ele.tue.nl Thu, 10 Feb 1994 10:14:37 MET Date: Thu, 10 Feb 94 10:14:37 MET From: wattel@eb.ele.tue.nl (Bart Jan Wattel) Subject: Historical overview of #(papers) or #(patents) Hi, I wonder if there is a historical overview of the amount of papers that have been written, or patents that have been obtained, sorted by years for instance. So, what I would like to have is something like + | | + | | | + | | | | + | | | | | + | | | | | | + | | | | | | | + | | | | | | | | + | | | | | | | | | | +| | | | | | | | | | | | +---------------------------------------------- 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 year -> I would appreciate any help... Bartjan Wattel -------- Eindhoven University of Technology, the Netherlands, --------------- Department of Electrical Engineering, PGP Public Key available on request ----------------- Digital Systems group. ------------------------------ From hobbsc@netcom.com Thu, 10 Feb 1994 06:50:33 GMT Date: Thu, 10 Feb 1994 06:50:33 GMT From: hobbsc@netcom.com (Craig A. Hobbs) Subject: Fuzzy String Compare Does anyone know of an algorithm to do a "fuzzy" string compare. What I need is a function that takes two strings as arguments, and returns a float. So, fuzzy_strcmp("Harry","Sally") = 1.00 fuzzy_strcmp("Iron","Ironic") = 0.70 fuzzy_strcmp("Boney Fish","Fish-Bone") = 0.25 fuzzy_strcmp("clam","dude") = 0.00 or something like that. The strings should be treated without context - in other words we don't know what the strings represent. I came up with an algorithm that basically does a diff and computes the result (the return value of fuzzy_strcmp) as follows return (l1+l2-(sum(strlen(d1)+strlen(d2)+...+strlen(dn)))/(l1+l2) where l1 and l2 are the lengths of the strings, d1,d2,.. are the lengths of the differences, and n is the number of diffs. This algorithm will probably do the job (it at least catches the boundary cases), but I'd also like some other opinions on the subject. Forgive me if this is the wrong newsgroup to be posting this - it seemed the logical place to me. Thanks in advance, Craig ------------------------------ From timb@sr.hp.com Thu, 10 Feb 1994 17:31:14 GMT Date: Thu, 10 Feb 1994 17:31:14 GMT From: timb@sr.hp.com (Tim Bagwell) Subject: AI applied to musical scores I am interested in applying AI techniques to musical composition and scoring. It seems to me that a rule-based program could be used to make decisions about proper formatting of musical notation, inferring rhythms from a sample measure and possibly some more advanced composition generation from a set of known styles. Are there any better techniques to handle this problem? Perhaps fuzzy logic techniques offer a better solution? As I am a neophyte to this area, I would be interested in any information that people can offer on how to proceed or work that has been done in this area. Thanks. -- Tim Bagwell ________ Hewlett Packard Co. ) / . Lightwave Organization / Santa Rosa, California / / ____ INTERNET : timb@sr.hp.com / / / / / PHONE : 707-577-3859 ___/ __/¥__/ / /__ COMPUSERVE: 71554,1100 ------------------------------ From: fuzzy-owner@vexpert.dbai.tuwien.ac.at Subject: [Frequently Asked Questions] Fuzzy-Mail The latest version of the frequently asked questions list (including answers) for comp.ai.fuzzy can be retrieved by sending the command GET LISTSERVER FUZZY.FAQ to listserver@vexpert.dbai.tuwien.ac.at in the body of an otherwise empty mail. This message is automatically distributed whenever the frequently asked questions list is updated, which is normally every 13th of the month. Let us remind you of how to get more information concerning the use of the fuzzy-mail list: just send the command GET FUZZY-MAIL INFO to listserver@vexpert.dbai.tuwien.ac.at in the body of an otherwise empty mail. For further questions, please get in contact with Marcus Herzog or Wolfgang Slany Christian Doppler Labor fuer Expertensysteme Institut fuer Informationssysteme (Nr. 184/2) Technische Universitaet Wien Paniglg. 16, A-1040 Vienna, Austria (Europe) Tel: +43-1-58801-6141 Fax: +43-1-5055304 E-mail: fuzzy-owner@vexpert.dbai.tuwien.ac.at ------------------------------ From PEKLUND@finabo.abo.fi Sun, 13 Feb 1994 17:35:27 +0200 (EET) Date: Sun, 13 Feb 1994 17:35:27 +0200 (EET) From: PEKLUND@finabo.abo.fi Subject: MEPP 94 **************************************** **************************************** ********** M E P P +94 ****** **************************************** **************************************** International Seminar on Diagnostics and Control through Neural Interpretations of Fuzzy Sets Mariehamn, AAland, June 13-17, 1994 *** The MEPP seminars were initiated by Aldo Ventre in 1990, with the first seminar organized in Ischia, October 7-11, 1990. The seminars bring people to a discussion on efforts and consequences of bridging the gap between successful fuzzy systems applications and supporting foundational developments. Leading subtitles for MEPP 91-93 were "diagnostics and control through neural interpretations of fuzzy sets", covering applications in control and diagnostics. In these areas, the MEPP seminars respect engineering approaches, involving know-how and skill required for putting things to work, paradigmic approaches, focusing on development of relevant tools and techniques which support the engineering process, and foundational approaches, pinpointing relevant framework thereby guiding the development process. The MEPP'93 seminar held in Mariehamn, AAland Islands (Finland), June 14-18, 1993, drew the attention of 35 participants from Czech Republic, Finland, Germany, Hungary, Japan, and Spain. Seleced papers from MEPP '93 will appear in a Special Issue of the Fuzzy Sets and Systems. *** Program Committee Patrik Eklund, Finland, chairman Mario Fedrizzi, Italy Jari Forsstroem, Finland Robert Fuller, Hungary Frank Klawonn, Germany Aldo Ventre, Italy The forthcoming seminar will continue focusing on paradigms for inference with topics including + structures of fuzzy sets + basic concepts and tools + fuzzy logic + neural fuzzy systems + diagnostics and control + medical applications + decision support Authors are invited to submit papers for the conference. Extended abstracts must not exceed 10 pages, and should be received before April 30, 1994. For more information, please contact Patrik Eklund Abo Akademi University Department of Computer Science Lemmink SF-20520 ABO Finland fax +358-21-654732 phone +358-21-654684 (654475) e-mail peklund@finabo.abo.fi *** Seminar site is Hotel Arkipelag in Mariehamn, capital of AAland. The islands are located between the Finnish and Swedish mainlands. The opening and closing sessions will be held on ferries between Abo/Turku and Mariehamn. You can reach Mariehamn by + direct flights from Abo, Helsinki and Stockholm + ferries from Abo and Stockholm Participants are recommended to arrive in and depart from Abo, thus joining us for the opening and closing session on the luxurious ferries in our beautiful Aland archipelago. If you intend to participate, please return the non-binding pre-registration form as soon as possible. *** PRELIMINARY REGISTRATION Name: _______________________________________________ Organization: _______________________________________ Address: ____________________________________________ _______________________________________________________ Fax: ____________ E-mail: _____________________ Title of abstract: __________________________________ _______________________________________________________ Estimated arrival In: ____________________ Date: _________________ Estimated departure From: ____________________ Date: __________________ Registration fee: 1.000 FIM , including - ferry trips - conferences lunches and coffee breaks - conference dinner - preceedings Accomodation (please mark your choices): MARIEHAMN: At Hotel Arkipelag, a conference hotel in the center of Mariehamn, single rooms are available at the price of approx. 400 FIM/night (incl breakfast and morning sauna). [ ] "standardized" using the ferries, 4 nights June 13-17 [ ] ___ nights arriving June ___, departing June ____. ABO: At Hotel Keskushotelli, in the center of Abo, rooms are available at the price of approx. 200 FIM/night (incl breakfast). [ ] ___ nights, specify dates (if not according to arrival in and departure from Abo): ------------------------------ From Lu.Nguyen@brunel.ac.uk Fri, 11 Feb 1994 15:47:50 GMT Date: Fri, 11 Feb 1994 15:47:50 GMT From: Lu.Nguyen@brunel.ac.uk (Lu D Nguyen) Subject: + operation hello all, i am a beginner in fuzzy set theory and therefore would like to ask a question which seems quite tricky to me, here is the question : the bounded sum and the extended sum are represented by the same symbol (a + sign in a circle), how can i differentiate them? an other question is : suppose that M‾ is a fuzzy set, what does -M‾ mean? it seems to me that the - sign and the encircle - sign are the same, are they? Thanks for your help LDK NGUYEN emstldn@brunel.ac.uk ------------------------------ From tanaka@til.com Fri, 11 Feb 1994 18:55:09 GMT Date: Fri, 11 Feb 1994 18:55:09 GMT From: tanaka@til.com (Yokichi Tanaka) Subject: Re: Fuzzy membership functions question In article AA22855@vexpert.dbai.tuwien.ac.at, TAN HSIAO-YUN () writes: >The question is how can we caculate the fuzzy degree when the >domain of data is charater string (not value)? For example, >student grades are stored as A, B, C, D, E, F, how can we define >fuzzy membership functions "EXECENT","GOOD" according to the >non-value data (A,B,C,D,E,F)? For your specific example, you would be able to do the following since the grades A,B,C,D,E,F are of the same "units" and its relative position is well understood. In the universe of discourse (a fancy term for the x-axis), I would evenly place the grades A through F. Then I would draw my "excellent", "good", etc membership functions. You may even include MFs such as "passing" or "grounded" which may overlap the other membership functions. Now, if someone said you got an A, you can look up the degree of membership in the various sets. If someone saide you got a "low" A or an A-, you can take that into account and choose a point between A and B. etc. >Another example, if the color are >stored as red, pink, black, white, blue, and so on and we need to >define fuzzy membership functions like DARKCOLOR, BRIGHTCOLOR, >etc, how can we define these fuzzy functions? how are the degree >caculated? Fuzzy logic isn't magic. It can be viewed as a black box, so there still is a need for some type of information to exist about these colors, before a fuzzy inference can output degrees of memberships. If you had access to the RGB values, perhaps you can do: LIGHTNESS = Kr * R + Kg * G + Kb * B Where Kr is some scaling factor for the R value, Kg for G, and Kb for B. (Because the three components may weigh slightly differently). This crisp value can then be used to look up the membership in the sets DARKCOLOR, LIGHTCOLOR, MEDIUMCOLOR. The RGB definition will have to be done for some base colors. >From there, perhaps you can construct a system like the following: AQUAMARINE = light BLUE + medium GREEN KHAKI = YELLOW + light BROWN On the right hand side, you should only see the basic colors for which some RGB or CMY definition exists. "light" and "medium" will be predefined to perform some operation on the RGB or CMY values. For the "+" part, you may want to either average the total LIGHTNESS value or perform operations on individual components. This is just an idea. --- Yoke Tanaka Togai InfraLogic, Inc. "fuzzy" tanaka@til.com 5 Vanderbilt, Irvine, Calif 92718, USA gordius!til!tanaka 714-588-3800 Fax 714-588-3808 ------------------------------ From tanaka@til.com Fri, 11 Feb 1994 19:09:27 GMT Date: Fri, 11 Feb 1994 19:09:27 GMT From: tanaka@til.com (Yokichi Tanaka) Subject: Re: FLISP In article vv@isoft.com.ar, bruno@isoft.com.ar (Bruno R. Depascale) writes: >Hello, > > I read about a dialect of LISP called FLISP. In this article > it is mentioned that an implementation of this language is available > for a SUN workstation. I will appreciate any further information > about this. Are you sure it was FLISP and not FuzzyCLIPS? FuzzyCLIPS is a superset of CLIPS containing fuzzy functions. The syntax for CLIPS has an uncanny resemblance to LISP (as does the acronyms). To the user, it has the same interpreted, ->, (), def, etc feel of LISP. FuzzyCLIPS was developed by Togai InfraLogic for NASA. It's now available from us. e-mail: info@til.com mail: Togai InfraLogic 5 Vanderbilt Irvine, CA 92718 phone: +1-714-588-3800 fax: +1-714-588-3808 I've been getting many individual e-mail info requests for this product. Without getting too commercial, here's the plug : Fuzzy CLIPS User Edition $199 CLIPS/Fuzzy executables + Manual + Examples Developer Edition $499 "User" + CLIPS source + TIL object library Professional Edition $899 "Developer" + Fuzzy source Fuzzy CLIPS is available for the PC, Mac, and UNIX platforms. --- Yoke Tanaka Togai InfraLogic, Inc. "fuzzy" tanaka@til.com 5 Vanderbilt, Irvine, Calif 92718, USA gordius!til!tanaka 714-588-3800 Fax 714-588-3808 ------------------------------ From george@cs.tulane.edu Sat, 12 Feb 1994 11:20:57 CST Date: Sat, 12 Feb 94 11:20:57 CST From: Roy George Subject: Re: Fuzzy Queries on Databases There has been a body of work done on this subject. The approach is to consider two parts to the database - the extensional and the intensional. The intensional part contains the descriptions of the various quantifiers, which then operate on the extension. Currently to the best of my knowledge, the most active person in this area is Patrick Bosc in France. Zemenkova and Kandel, Ron Yeager and Kacprzyk have published too in this area. I am not aware of any commercial implementations. I do some work in a related area. This consists of applying similarity relations to the data model instead of equality. The language is then very similar to SQL. Buckles and Petry have pioneered this particular model. Let me know if you need specific references to any particular articles, Roy -- ***************************************************************************** INTERNET : george@rex.cs.tulane.edu | USENET :{{ames, bionet}!}rex!george ***************************************************************************** ------------------------------ From inde8p2@jane.uh.edu 12 Feb 1994 16:00 CST Date: 12 Feb 1994 16:00 CST From: inde8p2@jane.uh.edu (Liu, Lujun) Subject: call_for_paper **************************************************************** * CALL FOR PAPERS * * The Sixth International Conference on * * * * ARTIFICIAL INTELLIGENCE * * & * * EXPERT SYSTEMS APPLICATIONS * **************************************************************** EXPERSYS - 94 December 1-2, 1994 J.W. Marriott Hotel, Houston, Texas (USA) **************************************************************** * General Chairman * * J.G. Chen, University of Houston (USA) * * * * Co-Chairmen * * F.G. Attia, University of Houston (USA) * * D.L. Crabtree, Purdue Univeristy (USA) * * * * Sponsored by * * Institute for Industrial Technology Transfer * * * * Co-Sponsors * * NASA/Johnson Space Center * * Society of Manufacturing Engineers (Houston) * * Institute of Industrial Engineers (Houston) * * University of Houston * * Purdue University * **************************************************************** AIM AND SCOPE Following the success of previous EXPERSYS Conferences organized in France and in the USA, the Sixth International EXPERSYS-94 will be held in Houston, Texas (USA) on December 1-2, 1994. It will bring together scientists, engineers, and industrial professionals from different parts of the world, working both on fundamental aspects as well as industrial applications of artificial intelligence and expert systems. The international conference committee invites you to submit a paper on the following topics (but not limited to): TOPICS OF INTEREST Artificial intelligence and expert systems applications in science, engineering, architecture, environment, business and finance, law, aerospace, military, telecommunications, and knowledge management and processing. Specific topics of previous conferences have covered ES in chemistry and biology, real time processing, manufacturing, CAD/CAM, automation, robotics, cost-benefit analysis, modeling, as well as development environments, verification and validation of ES. Other topics have also been AI interfaces, knowledge representation and processing, neural networks, fuzzy logic, speech recognition and natural language processing, intelligent software and hardware. New and innovative applications of AI and ES are highly encouraged. CALL FOR CONTRIBUTED PAPERS Authors are requested to submit three copies of abstract (350 words maximum) by April 1, 1994 to: Dr. Jacob J.G. Chen Conference General Chairman Department of Industrial Engineering University of Houston, Houston, TX 77204-4812, U.S.A. Phone: (713)743-4198 Fax: (713)743-4190 E-mail:JGCHEN@UH.EDU All abstracts and final papers will be reviewed by the International Advisory Committee. Notification of acceptance of abstracts will be mailed by May 1, 1994. CALL FOR INVITED SESSIONS Authors are encouraged to organize a session in the topics relevant to the Conference. Interested session organizers are requested to submit a proposal, including the title of the session, title of articles, and a list of participating authors and their affiliations by March 15, 1994 to the conference general chairman. Interested session organizers are encouraged to discuss their proposals with the conference general chairman as soon as possible. PROGRAM COMMITTEE General Chairman: J.G. Chen, University of Houston (USA) Co-Chairmen: F.G. Attia, University of Houston (USA) D.L. Crabtree, University of Purdue (USA) International Advisory Committee: A. Badiru, University of Oklahoma (USA) P. Chopra, University of Tennessee (USA) C. Donaghey, University of Houston (USA) S. Hashemi, University of Houston (USA) M. Heller, University of Houston (USA) J.P. Ignizio, University of Virginia (USA) M. Krisper, Ljubljana University (Bosnia) T. Martelli, Universite de Paris 5, LIMSI-CNRS (France) J.P. Merciano, Universite de Clermont-Ferrand (France) E. Mercier-Laurant, BULL (France) H.S. Nwana, University of Keele (U.K) U. Schmitt, FOGRA (Germany) P. Smith, University of Sunderland (U.K) C. Vassiliadis, Ohio University (USA) M.J. Wang, National Tsing Hua University (Taiwan) L. Webster, NASA/Johnson Space Center (USA) IMPORTANT DEADLINES April 1, 1994: Submission of Abstract (350 words maximum) May 1, 1994: Notification of acceptance of Abstract August 15, 1994: Submission of full paper (6 pages maximum) GENERAL INFORMATION REGISTRATION FEE: Regisration fee includes the Conference Proceedings, lunches, and coffee breaks. Early registration (Before August 15, 1994) - US$ 300 Regular registration - US$ 350 One-day registration - US$ 220 Student registration - US$ 60 Proceedings only - US$ 100 Tour to NASA/JSC (on December 3, 1994) - US$ 25 HOTEL: A limited number of rooms have been reserved at reduced price at J.W. Marriott Hotel. Delegates are invited to reserve their rooms directly. TOUR: Special tours of NASA/JSC technical areas for conference attendees will be arranged and hosted by NASA/JSC on December 3, 1994. Attendees will also visit Space Center Houston. Tour fee doesn't include lunch. EXPERSYS - 94 REPLY CARD Last and First Name _______________________________________________________ Company ___________________________________________________________________ Mailing Address ___________________________________________________________ City _________________________________ State ______________________________ Zip __________________________________ Country ____________________________ Phone ____________________ Fax __________________ E-Mail __________________ [ ] Please send me the Program of EXPERSYS - 94 REGISTRATION [ ] Early registration (Before August 15, 1994) -----------------US$ 300 [ ] Regular registration ----------------------------------------US$ 350 [ ] One-day registration ----------------------------------------US$ 220 [ ] Student registration ----------------------------------------US$ 60 [ ] Proceedings only --------------------------------------------US$ 100 [ ] Tour to NASA/JSC (on December 3, 1994) ----------------------US$ 25 PAPER PROPOSAL [ ] I would like to submit a paper. Please find enclosed an abstract of 350 words. [ ] I would like to organize a session. Please find enclosed proposal. REGISTRATION INFORMATION Please send registration form and fee to: 1. Delegates from Europe 2. Delegates from USA and other countries IITT - International Dr. Farouk G. Attia 94 Promenade A. Ballu University of Houston F-93460 Gournay sur Marne, France Houston, TX 77204-4083, USA Tel: 33-1-45921771 Tel: 713-743-4036 Fax: 33-1-45929215 Fax: 713-743-4032 Telex: 250303 (Att. iitt) Please make check payable to IITT-International or by bank transfer to IITT bank account: The Bank of NewYork, 300 Park Avenue, NY 10022, USA Account No.: 021908521-051139529 ------------------------------ From akay@gandalf.rutgers.edu 13 Feb 1994 22:10:43 GMT Date: 13 Feb 94 22:10:43 GMT From: akay@gandalf.rutgers.edu (Metin Akay) Subject: ANNIE'94, Fuzzy Logic in Medicine and Biology ******************************************************************************* * * * Artificial Neural Networks in Engineering (ANNIE '94) * * St. Louis, Missouri, November 13-16, 1994 * * * * Announcement of The New Track * * "Emerging Technologies in Medicine and Biology" * ******************************************************************************* Dear Colleague, I am organizing a new track on EMERGING TECHNOLOGIES IN MEDICINE AND BIOLOGY for the upcoming Artificial Neural Networks in Engineering (ANNIE'94) Conference to be held in St Louis, Missouri, November 13-16, 1994. This new track will include five special sessions: 1. Time-Frequency and Wavelet Transforms in ENGINEERING, MEDICINE and BIOLOGY. 2. Fuzzy Logic in MEDICINE and BIOLOGY. 3. Neural Networks and Artificial Intelligence in MEDICINE and BIOLOGY. 4. Virtual Really in ENGINEERING, MEDICINE and BIOLOGY. 5. Chaos and Fractals in ENGINEERING, MEDICINE and BIOLOGY. If you are interested in submitting a paper or papers to this track, please send a letter of intent, an information sheet that includes the full name of the author(s), title, address, phone number and FAX or e-mail address (if applicable) by March 4, 1994 to: Dr. Cihan Dagli, Conference Chair 223 Engineering Management Building University of Missouri-Rolla Rolla, MO 65401-0249 USA Phone:(314) 341-4374 Fax: (314) 341-6567 e-mail:dagli@shuttle.cc.umr.edu and one copy to me Dr. Metin Akay, Organizing Committee Member Biomedical Engineering Debt. Rutgers University P.O. Box. 909 Piscawatay, NJ 08854 Phone:(908) 932-4906 Fax: (908) 235-7048 e-mail:akay@gandalf.rutgers.edu Full papers are due by May 20, 1994. Authors will be notified of the status of their submittal by July 8, 1994 and camera-ready papers will be due by August 12, 1994. Approximately six to eight pages will be allocated for each accepted paper in the proceedings. I hope you will be able to join us in what promises to be an exciting meeting discussing the recent advances in Biomedical Engineering Research. Looking forward to hearing from you. Sincerely, Metin Akay, Ph.D. Visiting Professor Biomedical Engineering Dept. Rutgers University P.O. Box. 909 Piscawatay, NJ 08854 Phone:(908) 932-4906 Fax: (908) 235-7048 e-mail:akay@gandalf.rutgers.edu ------------------------------ From ronj@mcf.roc.wayne.edu Mon, 14 Feb 1994 09:20:26 EST Date: Mon, 14 Feb 94 09:20:26 EST From: ronj@mcf.roc.wayne.edu (ron jachim) Subject: Fuzzy String Compare You might try looking at gene sequencing algorithms to find a fuzzy string compare. They take strings of bases, represented by the letters C, G, T, and A, from two different strands of DNA (often from two different species) and see how similar they are. This was a hot topic in physical anthropology about ten years ago -- it may still be. The Human Genome project may be keeping this alive too. One name to look for is Mark Weiss PhD. He got me interested in the area and m ay have published in Antropological circles. The algorithms that I heard about were quite sophisticated and would probably be easily extendable to a full character set. If two strings were identical, except for an extra base or two in the middle, the strings would get a very high percentage. In physical antropology, comparisons were made to see how similar humans were to chimpanzees, gibbons, orangutans, gorillas, etc. I hope this is useful. ron ronj@mcf.roc.wayne.edu ------------------------------ From bruno@isoft.com.ar Mon, 14 Feb 1994 13:02:49 GMT Date: Mon, 14 Feb 1994 13:02:49 GMT From: bruno@isoft.com.ar (Bruno R. Depascale) Subject: Re: FLISP Yokichi Tanaka (tanaka@til.com) wrote: : Are you sure it was FLISP and not FuzzyCLIPS? FuzzyCLIPS is a superset of : CLIPS containing fuzzy functions. The syntax for CLIPS has an uncanny : resemblance to LISP (as does the acronyms). To the user, it has the same : interpreted, ->, (), def, etc feel of LISP. Yes, I am sure it is FLISP. Here is the exact reference: FLISP was originally implemented in LISPF3 on the ODRA 1305 computer (compatible with the ICL 1900). It also runs under SUN Common LISP on SUN workstations. L. Zadeh and J. Kacprzyk. (1992), "Fuzzy logic for the management of uncertainty.", p. 521 ------------------------------ From rsun@cs.ua.edu Mon, 14 Feb 1994 17:26:21 GMT Date: Mon, 14 Feb 1994 17:26:21 GMT From: rsun@cs.ua.edu (Ron Sun) Subject: New Book A monograph on connectionist models is available from John Wiley and Sons, Inc. Title: Integrating Rules and Conenctionism for Robust Commonsense Reasoning ISBN 0-471-59324-9 Author: Ron Sun Assistant Professor Department of Computer Science The University of Alabama Tuscaloosa, AL 35487 contact John Wiley and Sons, Inc. at 1-800-call-wiley Or John Wiley and Sons, Inc. 605 Third Ave. New York, NY 10158-0012 USA (212) 850-6589 FAX: (212) 850-6088 ------------------------------------------------------------------ A brief description is as follows: One of the outstanding problems for artificial intelligence is the problem of better modeling commonsense reasoning and alleviating brittleness of traditional symbolic rule-based models. This work tackles this problem by trying to combining rules with connectionist models in an integrated framework. This idea leads to the development of a connectionist architecture with dual representation combining symbolic and subsymbolic (feature-based) processing for evidential robust reasoning: {¥sc CONSYDERR}. Reasoning data are analyzed based on the notions of {¥it rules} and {¥it similarity} and modeled by the architecture which carries out rule application and similarity matching through interaction of the two levels; formal analyses are performed to understand rule encoding in connectionist models, in order to prove that it handles a superset of Horn clause logic and a nonmonotonic logic; the notion of causality is explored for the purpose of clarifying how the proposed architecture can better capture commonsense reasoning, and it is shown that causal knowledge can be well represented by {¥sc CONSYDERR} and utilized in reasoning, which further justifies the design of the architecture; the variable binding problem is addressed, and a solution is proposed within this architecture and is shown to surpass existing ones; several aspects of the architecture are discussed to demonstrate how connectionist models can supplement, enhance, and integrate symbolic rule-based reasoning; large-scale application-oriented systems are prototyped. This architecture utilizes the synergy resulting from the interaction of the two different types of representation and processing, and is therefore capable of handling a large number of difficult issues in one integrated framework, such as partial and inexact information, cumulative evidential combination, lack of exact match, similarity-based inference, inheritance, and representational interactions, all of which are proven to be crucial elements of commonsense reasoning. The results show that connectionism coupled with symbolic processing capabilities can be effective and efficient models of reasoning for both theoretical and practical purposes. Table of Content 1 Introduction 1.1 Overview 1.2 Commonsense Reasoning 1.3 The Problem of Common Reasoning Patterns 1.4 What is the Point? 1.5 Some Clarifications 1.6 The Organization of the Book 1.7 Summary 2 Accounting for Commonsense Reasoning: A Framework with Rules and Similarities 2.1 Overview 2.2 Examples of Reasoning 2.3 Patterns of Reasoning 2.4 Brittleness of Rule-Based Reasoning 2.5 Towards a Solution 2.6 Some Reflections on Rules and Connectionism 2.7 Summary 3 A Connectionist Architecture for Commonsense Reasoning 3.1 Overview 3.2 A Generic Architecture 3.3 Fine-Tuning --- from Constraints to Specifications 3.4 Summary 3.5 Appendix 4 Evaluations and Experiments 4.1 Overview 4.2 Accounting for the Reasoning Examples 4.3 Evaluations of the Architecture 4.4 Systematic Experiments 4.5 Choice, Focus and Context 4.6 Reasoning with Geographical Knowledge 4.7 Applications to Other Domains 4.8 Summary 4.9 Appendix: Determining Similarities and CD representations 5 More on the Architecture: Logic and Causality 5.1 Overview 5.2 Causality in General 5.3 Shoham's Causal Theory 5.4 Defining FEL 5.5 Accounting for Commonsense Causal Reasoning 5.6 Determining Weights 5.7 Summary 5.8 Appendix: Proofs For Theorems 6 More on the Architecture: Beyond Logic 6.1 Overview 6.2 Further Analysis of Inheritance 6.3 Analysis of Interaction in Representation 6.4 Knowledge Acquisition, Learning, and Adaptation 6.5 Summary 7 An Extension: Variables and Bindings 7.1 Overview 7.2 The Variable Binding Problem 7.3 First-Order FEL 7.4 Representing Variables 7.5 A Formal Treatment 7.6 Dealing with Difficult Issues 7.7 Compilation 7.8 Correctness 7.9 Summary 7.10 Appendix 8 Reviews and Comparisons 8.1 Overview 8.2 Rule-Based Reasoning 8.3 Case-Based Reasoning 8.4 Connectionism 8.5 Summary 9 Conclusions 9.1 Overview 9.2 Some Accomplishments 9.3 Lessons Learned 9.4 Existing Limitations 9.5 Future Directions 9.6 Summary References ------------------------------ From marks@u.washington.edu 14 Feb 1994 18:58:34 GMT Date: 14 Feb 1994 18:58:34 GMT From: marks@u.washington.edu (Robert Marks) Subject: Re: Historical overview of #(papers) or #(patents) In article <9402100914.AA05645@ebe.eb.ele.tue.nl>, Bart Jan Wattel wrote: >Hi, > >I wonder if there is a historical overview of the amount of papers that >have been written, or patents that have been obtained, sorted by years >for instance. So, what I would like to have is something like > > > > + | | > + | | | > + | | | | > + | | | | | > + | | | | | | > + | | | | | | | > + | | | | | | | | > + | | | | | | | | | | > +| | | | | | | | | | | | > +---------------------------------------------- > 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 year -> > > > >I would appreciate any help... > > > Bartjan Wattel -------- Eindhoven University of Technology, the Netherlands, > --------------- Department of Electrical Engineering, > PGP Public Key available on request ----------------- Digital Systems group. There are some bean counting figures on fuzzy papers and patents in R.J. Marks II, "Intelligence; Computational vs. Artificial, IEEE Transactions on Neural NEtworks, September, 1993. ------------------------------ From cervai@hp2.sm.dsi.unimi.it 15 Feb 1994 15:45:55 +0100 Date: 15 Feb 1994 15:45:55 +0100 From: cervai@hp2.sm.dsi.unimi.it (FUZZYMAN) Subject: searching for fuzzy prolog Hi, I'm working on my thesis concerning fuzy logic and prolog. I heard something about a programming language (prior to Prolog) called FUZZY. I need informations about it or about existing (if existing) fuzzy extensions of Prolog. Thanks in advance for your help. Giorgio Cervati E-mail : cervai@ghost.sm.dsi.unimi.it ------------------------------ From celms@ARL.ARMY.MIL Tue, 15 Feb 1994 12:42:43 EST Date: Tue, 15 Feb 1994 12:42:43 EST From: "Dr. Aivars Celmins (ACISD/CSTD/CMB)" Subject: Research Position FUZZY NETWORK CONTROL RESEARCH OPPORTUNITIES AT THE US ARMY RESEARCH LABORATORY Research opportunities described below are available on the campus of the US Army Research Laboratory at Aberdeen Proving Ground, Maryland. We are interested in extending appointments for one year to recent awardees of the PhD, or to a senior research associate, typically a faculty member on sabbatical leave. Applicants must be US citizens. Distributed Network Control. We are interested in the development of control procedures of shared channel networks for battlefield communication. The networks are characterized by a limited bandwidth, large nodal computing power, and unpredictable information flow. A control of the network is needed to enhance the information throughput that is impeded by colliding messages and exterior disturbances. The controlling agent is not hierarchical but distributed among the nodes of the network. Control is possible by managing information packet sizes, transmission times, coding strategies, etc. but control decisions must be made based on approximate information about the state of the network as perceived by each node. Ongoing parallel research efforts address various other aspects of communication such as protocols, coding, and signal processing. The application of fuzzy control to this problem is suggested by the approximate nature of available information and the contradicting goals that require a high throughput rate and a minimum of missed messages. Also, the relations between control parameters and performance measures are complicated and not available explicitly. The foregoing is descriptive of our interests, and we will consider proposals for work on a wider variety of related communication problems. Dr. Aivars Celmins US Army Research Laboratory ATTN: AMSRL-CI-CA Aberdeen Proving Ground, MD 21005-5067 Ofc: 410-278-6986 FAX: 410-278-5075 INTERNET: celms@arl.army.mil ------------------------------ From glen@eecs.berkeley.edu Tue, 15 Feb 1994 14:05:42 -0800 Date: Tue, 15 Feb 1994 14:05:42 -0800 From: Glen Ozawa Subject: From L.A. Zadeh re BISC =========================================================================== TO: BISC Group EECS faculty CS faculty Cog Sci Friends FROM: L.A. Zadeh RE: BISC On March 13, 1994, BISC will have its third birthday. This message is intended to report to you on where BISC stands today and to give you a glimpse of how it is evolving. A bit of history: BISC is an acronym for the Berkeley Initiative in Soft Computing. My initial proposal was to refer to the initiative as the Berkeley Soft Computing Initiative, but at the suggestion of John Ousterhout the name was changed to Berkeley Initiative in Soft Computing, leading to the more euphonious acronym BISC, which rhymes with another Berkeley brainchild, RISC. As an idea, BISC was conceived in October 1990, and developed in close consultation with Dean David Hodges, EECS Chair Paul Gray, CS Associate Chair David Patterson and Director for College Relations Marily Howekamp. The launching of BISC was announced on March 13 at the 1991 ILP (Industrial Liaison Program) Conference in Berkeley. Since then, BISC has evolved into a worldwide, email-linked community of individuals and organizations that share interest in soft computing and its applications. BISC has three Associate Directors - C. Sequin, M. Tomizuka and E. Wong - with myself serving as Director. What is soft computing? Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The basic ideas underlying soft computing in its current incarnation have links to many earlier influences, among them my 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; and the 1979 report (1981 paper) on possibility theory and soft data analysis. The inclusion of neural network theory in soft computing came at a later point. At this juncture, the principal constituents of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, genetic algorithms, chaos theory and parts of learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is a partnership in which each of the partners contributes a distinct methodology for addressing problems in its domain. In this perspective, the principal contributions of FL, NN and PR are complementary rather than competitive. Implications of soft computing The complementarity of FL, NN and PR has an important consequence: in many cases a problem can be solved most effectively by using FL, NN and PR in combination rather than exclusively. A striking example of a particularly effective combination is what has come to be known as neurofuzzy systems. Such systems are becoming increasingly visible as consumer products ranging from air conditioners and washing machines to photocopiers and camcorders. Less visible but perhaps even more important are neurofuzzy systems in industrial applications. What is particularly significant is that in both consumer products and industrial systems, the employment of soft computing techniques leads to systems which have high MIQ (Machine Intelligence Quotient). In large measure, it is the high MIQ of SC-based systems that accounts for the rapid growth in the number and variety of applications of soft computing - and especially fuzzy logic. The conceptual structure of soft computing suggests that students should be trained not just in neural network theory or fuzzy logic or probabilistic reasoning but in all of the associated methodologies, though not necessarily to the same degree. This is the principle which guides the BISC Seminar on Soft Computing and the course Fuzzy Logic, Neural Networks and Soft Computing which I teach at present. The same applies to journals, books and conferences. We are beginning to see the appearance of journals and books with soft computing in their title. A similar trend is visible in the titles of conferences. Current status of BISC At present, the BISC Group - as the community is called - comprises about 560 students, professors, employees of private and non-private organizations and, more generally, individuals who have interest or are active in soft computing or related areas. A category which was initiated recently is that of the Institutional Affiliates, which applies to universities, laboratories and non-profit organizations. Currently, BISC has over 50 Institutional Affiliates, with their ranks continuing to grow in number. The only qualification for membership in BISC is interest in soft computing. A BISC project which just got under way involves compilation of references centering on various application areas. The current areas are: Application of soft computing to handwriting recognition Application of soft computing to automotive systems and manufacturing Application of soft computing to image processing and data compression Application of soft computing to architecture Application of soft computing to decision-support systems Application of soft computing to power systems Neurofuzzy systems Fuzzy logic control Compilation of references is handled by an area editor and co-editors. It is expected that more topics will be added in the near future. At Berkeley, BISC provides a supportive environment for visitors, postdocs and students who are interested in soft computing and its applications. In the main, support for BISC comes from member companies. Currently, the founding members of BISC are Matsushita, SGS-Thomson, Sharp, Siemens and Sony. In addition, there are members which support BISC on a lesser scale. The BISC Bulletin Board (BBB) provides a mechanism for communicating information regarding employment and postdoc availability. BBB can also be used for other purposes. A glimpse into the future The successful applications of soft computing and the rapid growth of BISC suggest that the impact of soft computing will be felt increasingly in coming years. Soft computing is likely to play an especially important role in science and engineering, but eventually its influence may extend much farther. In many ways, soft computing represents a significant paradigm shift in the aims of computing - a shift which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. In this perspective, what is important about BISC is that it provides a platform for the advancement of soft computing through a lowering of barriers between its constituent disciplines and facilitating international cooperation on a global scale. Invitation Please communicate to me and the BISC Group any thoughts, comments or suggestions regarding BISC and/or SC that you may have to offer. cc. Chancellor L. Tien Provost J. King Dean D. Hodges Chair D. Messerschmitt Past Chair P. Gray Associate Chair R. Wilensky Past Associate Chair D. Patterson Associate Directors: C. Sequin M. Tomizuka E. Wong Director of College Relations: M. Howekamp =========================================================================== ------------------------------ From al151855@dialab22.mty.itesm.mx 15 Feb 1994 22:26:45 GMT Date: 15 Feb 1994 22:26:45 GMT From: al151855@dialab22.mty.itesm.mx (Raul Rubio Quintero Marmol) Subject: NEED:info Slinding Mode Fuzzy Control I'm working in my masters thesis in sliding mode fuzzy controller for an Induc tion motor, I have troubles "linking" SMC with Fuzzy logic, maybe someone can help me to understand how I can introduce de fuzzy control in SMC, maybe in the control law, or in the reaching mode, or maybe desingning an FC that behave like a SMC but how! thanks ______________________________________________________________________ ______________________________________________________________________ Raul Rubio Quintero al151855@academ03.mty.itesm.mx ______________________________________________________________________ ______________________________________________________________________ ------------------------------ From kimihiro@higuchi.ecei.tohoku.ac.jp Wed, 16 Feb 1994 04:12:15 GMT Date: Wed, 16 Feb 1994 04:12:15 GMT From: kimihiro@higuchi.ecei.tohoku.ac.jp (Kimihiro Ohki) Subject: Call for Paper,ISPACS'94 Second Call for Presentations 1994 IEEE International Workshop on Intelligent Signal Processing and Communication Systems: ISPACS 94 October 5-7, 1994 Yonsei University, Seoul, Korea Call for Presentations ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ The objective of the workshop is to provide a forum for discussion of new ideas and results on intelligent signal processing and their applications to communication systems. Topics may include various advanced signal processing technologies to achieve intelligent and adaptable signal processing with applications to communications. The three-day workshop will feature serial sessions for all oral presentations, in parallel with some limited number of poster sessions. Each speaker will have about 20-30 minutes for presentation including questions and answers. Prospective authors are invited to submit papers reporting recent advances on the related topics and present them in the workshop. Areas of interest include: ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ o Intelligent Signal Processing (Based on Neural Networks, Fuzzy Logic, etc.) o Adaptive/Nonlinear Signal processing o Adaptive Processing for Signal Transmission o Neural Network Applications for Communications o Adaptive Signal Processing for Mobile/Personal Communications o Model-based Video/Image Coding o Signal Processing for Visual Communications o Multidimensional Signal Processing o Programmable DSP Systems for Communications o VLSI/ASIC for Intelligent Signal Processing Instructions and Schedule ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ Authors are invited to submit five copies of a 500 word abstract in English to the TPC co-chair with the address given below. The title page must include the author's name, complete return address, and telephone and fax numbers. The authors of all accepted contributions should submit final photo-ready manuscripts of 4-6 page length. +---------------------------------------------------------+ | Abstract of 500 words for review due: April 20, 1994 | | Notification of acceptance mailed: May 30, 1994 | | Camera ready paper due: August 15, 1994 | +---------------------------------------------------------+ Submission and correspondance should be mailed to: ‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾ Professor Yeong Ho Ha ISPACS 94 TPC Co-Chair Dept. of Electronic Engineering Kyungpook National University 1370 Sankyuk-Dong Taegu, 702-701, Korea Phone: +82-53-950-5535 Fax: +82-53-950-5505 e-mail: yhha@ee.kyungpook.ac.kr Sponsors: IEEE Communications Society, Signal Processing Society In Co-operation with: IEICE Technical Groups of Communication Systems and Digital Signal Processing KITE Telecommunication Society, Acoustics and Signal Processing Society KICS Technical Group of Signal Processing ASK Technical Group of Signal Processing IEEE Korea Council IEEE Taipei Section Workshop Co-chairs Byong Gi Lee (Seoul Nat'l Univ., Korea) Chi Chung Ko (Nat'l Univ. Singapore, Singapore) Thomas R. Fisher (Washington State Univ., USA) Technical Program Committee Co-chairs Yeong Ho Ha (Kyungpook Nat'l Univ., Korea) Masayuki Kawamata (Tohoku Univ., Japan) Wan-Chi Siu (Hong Kong Polytechnic, Hong Kong) Technical Program Committee Kaoru Arakawa (Meiji Univ., Japan) Robert R. Bitmead (Australian Nat'l Univ., Australia) Byung Uk Choi (Hanyang Univ., Korea) Jong Soo Choi (Choong Ang Univ., Korea) Hong Y. Chung (AT&T, USA) T. Russel Hsing (Bellcore, USA) Andre Kaup (Aachen Univ. of Tech., Germany) Sang Uk Lee (Seoul Nat'l Univ., Korea) Ryuji Kohno (Yokohama Nat'l Univ., Japan) Taejeong Kim (Seoul Nat'l Univ., Korea) Vijay K. Madisetti (Georgia Institute of Tech., USA) Teresa H. Meng (Stanford Univ., USA) Yoshikazu Miyanaga (Hokkaido Univ., Japan) Naohisa Ohta (NTT, Japan) Soo-Cahng Pei (Nat'l Taiwan Univ., ROC) Koichi Sakaniwa (Tokyo Institute of Tech., Japan) Henry Samueli (UCLA, USA) Janusz A. Starzyk (Ohio Univ., USA) Chien-Chung Yeh (Nat'l Taiwan Univ., ROC) International Advisory Committee Tomonori Aoyama (NTT, Japan) Maurice Bellanger (CNAM, France) Pei-Chi Chen (DG Telecom, MOTC, ROC) Jae-kyoon Kim (KAIST, Korea) S. V. Kartalopoulos (AT&T, USA) Tatsuo Higuchi (Tohoku Univ., Japan) Tae Won Lee (Korea Univ., Korea) Lin-shan Lee (Academia Sinica, ROC) David G. Messerschmitt (UC Berkeley, USA) Tetsuya Miki (NTT, Japan) Kyu Tae Park (Yonsei Univ., Korea) Finance Hwang Soo Lee (KAIST, Seoul, Korea) Local Arrangements Dae Hee Youn (Yonsei Univ., Korea) Registration Yong Hoon Lee (KAIST, Daejon, Korea) Publications Jae Chon Lee (KIST, Korea) Publicity Jechang Jeong (Samsung Electronics, Korea) Special Program Sang Hoon Lee (Korea Telecom, Korea) ------------------------------ End of Digest ************************ Contents: [cfp] SYMPOSIUM ON NEURO FUZZY SYSTEMS (bouchon@laforia.ibp.fr) Re: Fuzzy Queries on Databases (INCHO@ibm.rz.tu-clausthal.de (Carsten Hoerner)) Vertex (bruno@isoft.com.ar (Bruno R. Depascale)) (Tan Shao Hua (Dr) ) Ph.D. Research - fuzzy biotech (rhaimann@netcom.com (Richard Haimann)) Report: workshop FL in Ecology (Arkadiusz Salski ) look for a paper (temin@rainbow.ecn.purdue.edu (Te-Min Chang)) (jauch@sonne.zwi.sh.bosch.de) (braunweg@irsun21.ifp.fr (Bertrand Braunschweig)) Re: Fuzzy Queries on Databases (Steve Lembark ) Re: Vertex (faf@helium.gas.uug.arizona.edu (fred a fox)) GIS & fuzzy logic (telmer@earth.genie.uottawa.ca (Kevin Telmer)) Re: Fuzzy Queries on Databases (waultman@eagle.scg.hac.com (William Aultman)) Fuzzy Relational Operators (tzaucha@goodyear.com) Swiss person - postdoc position (bverma@gamma.bae.uga.edu (Brahm P. Verma)) Re: Vertex (Ivan Berrios ) Error Reduction in Pattern Recognition (eledavis@ubvms.cc.buffalo.edu (Elliot Davis)) Re: Fuzzy String Compare (olea@netcom.com (Michael Olea)) Re: Vertex (entpm@irix.bris.ac.uk (Martin)) Re: Fuzzy Queries on Databases (entpm@irix.bris.ac.uk (Martin)) Re: searching for fuzzy prolog (entpm@irix.bris.ac.uk (Martin)) Sugeno, Number of Cluster (LM03@ibm3090.rz.uni-karlsruhe.de) Truck Backer-upper e-mail adrs. sought (kellyfj@unix1.tcd.ie (Q)) UAI reminder (John Mark Agosta ) ---------------------------------------------------------------------- From bouchon@laforia.ibp.fr Tue, 15 Feb 1994 10:34:45 +0100 Date: Tue, 15 Feb 1994 10:34:45 +0100 From: bouchon@laforia.ibp.fr Subject: [cfp] SYMPOSIUM ON NEURO FUZZY SYSTEMS ************************************ * SYMPOSIUM ON NEURO-FUZZY SYSTEMS * ************************************ Organized by B. Bouchon-Meunier & X. Menage at the INTERNATIONAL CONFERENCE ON NEURAL MODELLING Lyon, June 20 - 24, 1994 --------------------------------------------- Submissions: Deadline : March 20, 1994 To : X. Menage, LAFORIA-IBP, Case 169, UPMC, 4 Place Jussieu, 75252 PARIS CEDEX 05, FRANCE e-mail : menage@laforia.ibp.fr --------------------------------------------- ORGANIZERS OF THE CONGRESS : Association Internationale pour le Dveloppement de la Recherche Interdisciplinaire (A.I.D.R.I.) in collaboration with Ple Rhne-Alpes de Sciences Cognitives du C.N.R.S. LOCATION OF THE CONGRESS : Universit Claude Bernard Lyon 1, 43 Bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France INQUIRIES ABOUT THE CONGRESS : Tel. : 72 44 80 00 extension 34/63 Fax : 72 44 56 00 e-mail : AIDRI@CISM.Univ-Lyon1.Fr PURPOSE OF THE CONGRESS Natural phenomena are more and more often studied in their overall complexity. In addition, these phenomena are, in a number of cases, perceived as elements which cooperate to fulfill a function. Therefore it seems judicious to study them as networks. In order to achieve this, general models must be provided which are likely to assist the researcher in his/her understanding of them. Neural modelling, deriving from both the science of information-processing (data-processing, mathematics) and neurobiology, offers promising possibilities for the analysis, modelling and simulation of these complex phenomena. The "Association Internationale pour le Dveloppement de la Recherche Interdisciplinaire" regularly organizes conferences about a specific topic, which bring together researchers working in a variety of disciplines: data-processing, mathematics, economics, sociology, linguistics, psychology, neurobiology. Neural modelling is the topic of the conference which will be held in Lyon from June 20 to 24, 1994. We hope that this new event will provide the opportunity for researchers from different fields to present the state of the art concerning the formal, applied, practical and epistemological issues of neural modelling. TOPICS OF THE CONGRESS 1- Epistemological basis of the connexionnism 2- Modelling methodology and neural modelling 3- The understanding of the brain by means of neural networks 4- Neural : artificial and natural 5- Neural modelling and theory of behaviour 6- Neural modelling and learning theory 7- Analysis of the organisations and connexionnism models SUBMISSION OF COMMUNICATIONS FOR THE SYMPOSIUM ON NEURO FUZZY SYSTEMS Contributions are in either French or English. The text (3 to 5 pages) will provide, on its first page, the title, the name and address of the authors and a summary of a hundred or so words. At the end of the conference, a further selection of texts will be retained for publication. Selected contributions will not exceed 15 pages in length. Strict instructions concerning presentation will be given for the final editing of the texts. INVITED LECTURERS Pr M. ABELES (Hebrew University, Jerusalem) Pr J.J. DUCRET (University of Geneva) Pr W.J. FREEMAN (Berkeley University, California) Pr J.L. LEMOIGNE (Aix-Marseille University, France) Pr F.J. VARELA (Neurosciences Institut, Paris, France) SPONSORS OF THE CONGRESS - AFCET - Conseil Gnral du Rhne - Dowell-Schlumberger (St.Etienne) - Ecole Normale Suprieure de Lyon - UNESCO- PII - Universit Lyon 1 - Universit Lyon 2 SCIENTIFIC COMMITTEE Auray J.P (Lyon 1) (F) Blayo F. (EERIE Nmes) (F) Bouchon-Meunier B. (Paris 6) (F) Brissaud M. (AIDRI Lyon) (F) Bullier J. (INSERM Lyon ) (F) Cosnard M. (ENS Lyon) (F) Cottrel M. (Paris 1) (F) Demongeot J. (Grenoble 1) (F) Duru G. (Lyon 1) (F) Franceschini N. (Marseille) (F) Frauenfelder U. (Genve) (CH) Fregnac Y. (Paris 11) (F) Grafmeyer Y. (Lyon 2) (F) Grossberg S. (U. Boston) (USA) Herault J. (Grenoble 1) (F) Hoskin J.C. (Austin ) (USA) Hujeux J.C. (Dowell-Sclumberger) (F) Jourdan F. (Lyon 1) (F) Jutten J. (Grenoble 1) (F) Kerzberg M. (Pasteur Paris) (F) Koenig O. (Lyon 2) (F) Lamure M. (Lyon 1) (F) Laurini R. (Lyon 1) (F) Lavalle I. (Paris 8) (F) Martin P. (Lyon2) (F) Nicoloyannis N. (Lyon 1) (F) Parrochia D. (Toulouse) (F) Paugham-Moisy H. (ENS Lyon) (F) Pinon J.M. (INSA Lyon) (F) Pitrat J. (Paris 6) (F) Ritschard G. (Genve) (CH) Rizzi L. (Genve) (CH) Rospars J-P (Versailles) (F) Royet J.P. (CNRS Lyon) (F) Simien T. (Schlumberger) (F) Toulouse G. (ENS Paris) (F) Zighed D.A. (Lyon 2) (F) REGISTRATION FEES Before After (1/4/94) (1/4/94) AIDRI members 1500FF 2000FF Students 1000FF 1500FF Others 2000FF 2500FF AIDRI membership: 150 FF o Enclosed cheque for ..............FF payable to AIDRI. o Enclosed order form n0.......... o Please send me a bill (...............copies) ----------------------------------------------------------------- Registration form Mr. Mrs Surname : ......................................... First name:........................................ Organization....................................... ............................................................... Address: .............................................. ............................................................... ............................................................... ............................................................... Zip Code : .......................................... Town : ................................................. Country............................................... Tel : ....................................................... Fax : ...................................................... e-mail : ................................................. I would like to present : o a communication o a software demonstration Title : ................................................... ............................................................... ............................................................... Authors : .............................................. ............................................................... ............................................................... ----------------------------------------------------------------- ------------------------------ From INCHO@ibm.rz.tu-clausthal.de Wed, 16 Feb 1994 18:26:58 GMT Date: Wed, 16 Feb 1994 18:26:58 GMT From: INCHO@ibm.rz.tu-clausthal.de (Carsten Hoerner) Subject: Re: Fuzzy Queries on Databases In article <9402091919.AA05727@mcf.roc.wayne.edu.roc.wayne.edu> ronj@mcf.roc.wayne.edu (ron jachim) writes: Hi Ron, >Are there any such commercial systems? to my knowledge, there are no such systems available by now. >Are there any working prototypes? There might be some research prototypes. >Who is doing academic work along these lines? There has been academic work for many years now. Some names to look up: Buckles & Petry; Zemankova & Kandel; Dubois, Prade & Testemale; Zadeh himself (Papers on PRUF); Tahani; some Japanese researchers... Their approaches differ in whether they also allow fuzzy data in the database and in the way they define the semantics of imprecise queries. Carsten Hoerner Computer Science Inst. Technical University of Clausthal Germany ------------------------------ From bruno@isoft.com.ar Wed, 16 Feb 1994 17:41:26 GMT Date: Wed, 16 Feb 1994 17:41:26 GMT From: bruno@isoft.com.ar (Bruno R. Depascale) Subject: Vertex Hello, I am doing some work with fuzzy arithmetic, and I am sure that I read somewhere about a method that simplified the operations, and that the obtained results were much more easier to manage. I think it was called "the vertex method". I will appreciate any information about this method or any other alternative method for computing fuzzy variables. Thanks in advance. ----------------------------------------------------------------------------- Bruno R. Depascale Intersoft Argentina S.A. bruno@isoft.com.ar Cordoba 883 Piso 9 Voice: +54-1-311-9253 Fax : +54-1-311-9250 ----------------------------------------------------------------------------- ------------------------------ From eletansh@leonis.nus.sg Thu, 17 Feb 1994 15:39:50 +0800 Date: Thu, 17 Feb 1994 15:39:50 +0800 From: Tan Shao Hua (Dr) Subject: Zadeh has been talking about "Fuzzy Granulation" for quite some time. But I do not seem to come across a paper on the topic. Can anyone point me to a paper or papers on the topic? Many thanks, my e-mail: eletansh@leonis.nus.sg ------------------------------ From rhaimann@netcom.com Thu, 17 Feb 1994 03:14:40 GMT Date: Thu, 17 Feb 1994 03:14:40 GMT From: rhaimann@netcom.com (Richard Haimann) Subject: Ph.D. Research - fuzzy biotech I would like to pursue Ph.D. research in examining the use of fuzzy logic for modeling, designing, monitoring, and operating engineered biological systems. By engineered biological systems I include wastewater treatment systems, biological treatment systems for hazardous waste, food production systems (agriculture), and chemical manufacturing systems which use biological processes (fermentation, genetic vectors for protein synthesis, etc.) Howewever, I am somewhat at a loss as to where to apply. Where is there a good top-notch university where there is significant talent in both fuzzy logic and engineered biological systems, and where the political climate is conducive to cooperative research between the two apparently polar fields? Thanks in advance, Richard -- |///////////////////////¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥¥| | Richard Haimann Reachable at: | |(home) rhaimann@netcom.com | |(work)___CH2MHILL!SCO!RHAIMANN@ch2m1.attmail.com__| ------------------------------ From AREK@pz-oekosys.uni-kiel.d400.de Thu, 17 Feb 1994 11:24:41 +0100 Date: Thu, 17 Feb 1994 11:24:41 +0100 From: Arkadiusz Salski Subject: Report: workshop FL in Ecology Short report on the Kiel workshop on Fuzzy Logic in Ecological Modelling October 12-13, 1993 Organizers: Ecosystem Research Center, University of Kiel Institute of Computer Science and Applied Mathematics, University of Kiel This workshop was the first meeting on fuzzy logic in ecological research in Europe with 51 participants from six countries. It was a good opportunity to get to know other researchers working in ecological applications of fuzzy sets and fuzzy logic. We succeeded in bringing together not only ecologists but also mathematicians, computer scientists and engineers who are active in this field. The workshop program contained 14 papers which focused on fuzzy data analysis, fuzzy modelling / expert systems, fuzzy decision making and engineering applications. The invited speaker of the workshop was Dr. B. Li from Texas A&M University, who held two talks about the applications of fuzzy logic in ecology in North America and about fuzzy decision making in economic ecosystems. In the final discussion which closed the workshop, the problems of the development and promotion of fuzzy logic applications in ecology were discussed. The clarification of the benefits of fuzzy technolo- gies and the development of easy-to-use tools for research or for practical environmental management and engineering tasks belong to these problems. More "fuzzy" sections at established ecological conferences and the next "fuzzy" meetings might be helpful for the promotion of the fuzzy approach in ecology. The participants of the workshop also had an opportunity to get to know a large interdisciplinary ecological project which is running in Kiel and to participate in an excursion to the study area at the Bornhoeved Lakes. The workshop proceeedings will be published in a special issue of "Ecological Modelling" (Elsevier) in 1994. Dr. A. Salski Ecosystem Research Center University of Kiel Schauenburgerstr. 112 24118 Kiel, Germany e-mail: arek@pz-oekosys.uni-kiel.d400.de fax: ++49 / 431 / 880 40 83 ------------------------------ From temin@rainbow.ecn.purdue.edu Thu, 17 Feb 1994 01:56:51 GMT Date: Thu, 17 Feb 1994 01:56:51 GMT From: temin@rainbow.ecn.purdue.edu (Te-Min Chang) Subject: look for a paper Hi, I am looking for a paper which is too "new" for our library to have it. Even interlibrary loan does not help. The paper is "Efficient fuzzy partition of pattern space for classification problems" by H. Ishibuchi, K. Nozaki and H. Tanaka and from Proc. of the second International Conference on Fuzzy Logic & Neural Networks, pp.671-674. If you know how to get a copy of it, please reply to my account (temin@ecn.purdue.edu). Thanks a lot. T.M. Chang ------------------------------ From jauch@sonne.zwi.sh.bosch.de Thu, 17 Feb 1994 13:06:33 GMT Date: Thu, 17 Feb 94 13:06:33 GMT From: jauch@sonne.zwi.sh.bosch.de Subject: Where can I find public available algorithms in C or C++ for - Clustering (every kind) - Fuzzy Clustering - LVQ - ART1, ART2, ART3 - Self-Organizing Maps Thomas W. Jauch Robert Bosch GmbH Abt. ZWI 70049 STUTTGART Germany email: jauch@zwi.sh.bosch.de ------------------------------ From braunweg@irsun21.ifp.fr Thu, 17 Feb 1994 17:07:23 +0100 Date: Thu, 17 Feb 94 17:07:23 +0100 From: braunweg@irsun21.ifp.fr (Bertrand Braunschweig) Subject: A message for the swiss person who is looking for a post-doc. Could you post your name and email address? Thank you ********************************************************* * Bertrand L. Braunschweig * * AI Group Manager * * Computer Science & Applied Mathematics * * Institut Francais du Petrole * * email braunschweig@c1.ifp.fr * ********************************************************* ------------------------------ From LEMBARK@SYSJJ.UG.EDS.COM Thu, 17 Feb 1994 12:12:07 -0700 (PDT) Date: Thu, 17 Feb 1994 12:12:07 -0700 (PDT) From: Steve Lembark Subject: Re: Fuzzy Queries on Databases >From: ronj@mcf.roc.wayne.edu (ron jachim) >Subject:Fuzzy Queries on Databases >Date: 11 Feb 1994 17:53:19 GMT > SELECT * > FROM patient_table > WHERE age = young what you're likelier to find is a pre-processor for the query. it would take a domain of ages and a fuzzy expression; returning elements from the domain which match. calling this beforehand would give a squeal statement for matching. e.g.: young_age[] = list_young_ages(); select * from table where age = young; this saves you from teaching squeal to handle fuzzyness. sl ------------------------------ From faf@helium.gas.uug.arizona.edu 17 Feb 1994 19:11:44 GMT Date: 17 Feb 1994 19:11:44 GMT From: faf@helium.gas.uug.arizona.edu (fred a fox) Subject: Re: Vertex In article , Bruno R. Depascale wrote: > I am doing some work with fuzzy arithmetic, and I am sure that > I read somewhere about a method that simplified the operations, and > that the obtained results were much more easier to manage. I think it > was called "the vertex method". I will appreciate any information > about this method or any other alternative method for computing fuzzy > variables. As best I can tell, the method you are referring to probably uses triangular fuzzy numbers, performs the operations on the extreme interval and the peak. This is exact for addition and subtraction but becomes approximate for higher level operations. I have never heard the term "vertex method" used to refer to this, so take my reply for what it is worth. The reduction in effort using the three points is considerable over trying to estimate the shape of the number between alpha level zero and alpha level one. ------------------------------ From telmer@earth.genie.uottawa.ca Fri, 18 Feb 1994 05:40:13 GMT Date: Fri, 18 Feb 94 05:40:13 GMT From: telmer@earth.genie.uottawa.ca (Kevin Telmer) Subject: GIS & fuzzy logic We have been using fuzzy set theory in conjunction with a GIS to model or predict the occurence of ore deposits and other spatialy distributed anomalies. If the combination of GIS and fuzzy logic interests you then this course may also. The following is general information on the course. It is followed by a more detailed hourly schedule of the course. ------------------------------------------------------------------------ SPATIAL ANALYSIS & MODELLING IN THE EARTH SCIENCES: GIS A SHORT COURSE FOR GEOSCIENTISTS DEPARTMENT OF GEOLOGY UNIVERSITY OF OTTAWA A Continuing Series GIS SHORT COURSE: Spatial Analysis/Modelling Mineral Potential Mapping Geological Mapping Data Compilation & Map Generation Environmental Analysis * Fuzzy Set Modelling Non-linear Dynamics and Fractal Analysis Field Methods. DATE: May 30-June 3, 1994 DESCRIPTION: This course provides an introduction to Geographic Information Systems (GIS), with an emphasis on mineral potential modelling (including non-linear methods), and database construction. Participants will develop skills for building spatial databases, performing spatial analysis, transforming and extracting features from geoscientific maps, directly entering field data, combining maps to estimate mineral favourability, and for integrating non-linear modelling with a GIS. Practical demonstrations and exercises using the PC based Field Log and SPANS GIS are an integral part of the course. Hands-on exercises are interspersed with lecture material throughout. No previous GIS or computing experience is required although familiarity with computer systems for mapping is an advantage. During the course a variety of approaches for modelling mineral potential are introduced. These include subjective, statistical, non-linear, and fractal based methods. Practical implementation of methods is emphasized. LECTURERS: * Graeme Bonham-Carter, Adjunct Professor and Research Scientist, Mathematical Applications to Geology Section, Geological Survey of Canada (Course Director). Dr. Bonham-Carter has been working in the field of computer applications to geology since the mid-1960's. His research interests are simulation modelling, resource assessment, spatial data integration and GIS applications. * Frits Agterberg, Adjunct Professor and Head, Mathematical Applications to Geology Section, Geological Survey of Canada. Dr. Agterberg has more than 30 years experience in statistical applications in the geosciences. Research interests include mineral potential mapping and geostatistical resource estimation. * Tony Fowler, University of Ottawa. Dr. Fowler has had over 20 years experience in resource geology. Current interests include the application of non-linear dynamics and fractal geometry to the earth sciences * Boyan Brodaric, Continental Geosciences Division, Geological Survey of Canada. Mr. Brodaric has been working on computer-aided data capture for geological field mapping for over six years. He is the author of the Fieldlog software used by GSC, provincial, international and academic geologists. He is currently involved in developing methods of collecting and digitally integrating geological field data using database, GIS and Artificial Intelligence tools. * Danny Wright, Ph.D. Candidate, University of Ottawa, and Physical Scientist, Mathematical Applications to Geology Section, Geological Survey of Canada. Mr. Wright has worked in the mineral exploration industry and has extensive experience in GIS applications to geological problems. TOPICS COVERED: * Fieldlog: a field based system for digital capture of map data. * GIS technology: - building spatial databases from regional datasets including data from Fieldlog - using raster images, vector defined maps, point, line, and polygon attribute tables - generating "evidence" maps from raw data and combining these to produce mineral potential maps - implementing mathematical, and statistical models that combine evidence maps - querying and displaying results * Data-driven and knowledge-driven methods: - Bayesian weights of evidence models - regression models - non-linear/fractal models - deterministic rules - rules of fuzzy logic * Examples from gold potential mapping in Nova Scotia, New Brunswick, and British Columbia; base metal potential in a greenstone belt, Manitoba; gold potential and tectonic history mapping in Nevada; geochemical flux modelling in the Ottawa River basin; and others. * Fractals and Non-linear Dynamics: - calculating fractal dimension - application to spatial data - multifractal analysis of Au and Cu deposits OTHER COURSE FEATURES: * Practical hands-on exercises, using the PC based Fieldlog and SPANS GIS, will be interspersed with lectures and demonstrations of current GIS based research. There will be no more than 3 participants per system. * A detailed course manual with GIS exercises and reprints will be supplied. * A copy of the Fieldlog program and manual * Complimentary textbook: Geographic Information Systems for Geoscientists: Modelling with GIS by Graeme Bonham-Carter, 1993. * Hard copy output demonstration from SPANS MAP * Complimentary banquet with keynote speaker on thursday June 2. FOR WHOM * Geoscientists dealing with spatial data in computers * Those working in the mineral exploration industry; environmental/mineral analysis. * The examples used in the course will be mainly geological but the techniques and applications have universal application for those interested in spatial modelling. * All technical material will be introduced with practicality in mind; GIS or math/stat background is not a pre- requisite. NUMBERS: Limited to 30 participants COURSE FEE: $1700 (Canadian). $250 deposit to register, full payment by May 1, 1994. A reduced price is available for early registration or groups greater than 3 persons. MORE INFORMATION AND REGISTRATION: GIS SHORT COURSE Dept. (613) 564-3480 Department of Geology FAX (613) 564-9916 University of Ottawa 161 Louis Pasteur Ottawa, Ont., Canada KIN 6N5 **** E-mail: GIS@earth.genie.uottawa.ca Please inform us if you would like to have a registration form mailed or FAXed to you. Also: this document (gis-info.txt) and a more precise hour by hour breakdown (gis-sked.txt) are available via anonymous ftp. ftp earth.genie.uottawa.ca username: anonymous password: your full adress The documents are in the pub/incomming/gis directory use text file type transfer. WORTH NOTING: for those interested, this course immediately precedes the Canadian Conference on GIS, held in Ottawa, June 6-11, 1994. --------------------------------------------------------------------- -- SCHEDULE Monday May 30 08:15-08:45 REGISTRATION 08:45-09:30 Course outline 09:30-10:15 Demonstration 10:15-10:30 Coffee break 10:30-11:00 Field geology data structures and basic geomatics 11:00-11:30 Fieldlog: field database structuring 11:30-12:00 Fieldlog: input of field data 12:00-13;30 Lunch 13:30-14:15 Fieldlog: export field data to CAD/GIS system 14:15-15:00 CAD/Fieldlog: field data editing and polygon construction 15:00-15:15 Coffee break 15:15-16:00 CAD/Fieldlog: export field data to SPANS GIS 16:00-16:45 Dataset 1: Environmental Geochemistry, Ottawa River basin EVENING Optional use of GIS equipment Tuesday May 31 08:45-09:30 Data structures; Geological examples 09:30-10:15 Exercise: Building a GIS database 10:15-10:30 Coffee break 10:30-11:15 Statistical modelling techniques 11:15-12:00 Weights of evidence method 12:00-13;30 Lunch 13:30-14:15 Exercise: Calculating weights (DOS program) 14:15-15:00 Implementing weights of evidence with GIS 15:00-15:15 Coffee break 15:15-16:00 Exercise: Nova Scotia gold study 16:00-16:45 Dataset 2: VMS potential, Manitoba EVENING Optional use of GIS equipment Wednesday June 1 08:45-09:30 Proximity maps as mineralization evidence 09:30-10:15 Exercise: Generating proximity maps 10:15-10:30 Coffee break 10:30-11:15 Exercise: Using geological attribute tables 11:15-12:00 Lunch 12:00-13;30 Introduction to regression methods 13:30-14:15 Exercise: regression using cell data 14:15-15:00 Coffee break 15:00-15:15 GIS techniques: sampling, table modelling 15:15-16:00 Exercise: Unique conditions tables. 16:00-16:45 Dataset 3: Tectonic Assemblage, Great Basin, Nevada EVENING Optional use of GIS equipment Thursday June 2 08:45-09:30 Weighted logistic regression 09:30-10:15 Exercise: Application of WLR in GIS 10:15-10:30 Coffee break 10:30-11:15 Topological modelling 11:15-12:00 Exercise: Extracting geological contacts 12:00-13;30 Lunch 13:30-14:15 Fuzzy logic 14:15-15:00 Exercise: Fuzzy set modelling of maps 15:00-15:15 Coffee break 15:15-16:00 Exercise: Geological anomaly maps 16:00-16:45 Dataset 4: Mineral Potential, Melville Island, NWT 19:00 BANQUET with Keynote speaker Friday June 3 08:45-09:00 Euclid & Hausdorff dimension 09:00-09:30 Fractal dimension 09:30-10:15 Multifractal measures 10:15-10:30 Coffee break 10:30-11:15 Ex: Calculation of fractal dim. of fracture networks (Au deposit) 11:15-12:00 Ex: Multifractal GIS modelling of Au and Cu in alteration zones 12:00-13;30 Lunch 13:30-14:00 Linear, Markov and nonlinear systems 14:00-14:30 The logistic map, the Lorenz equations, chaos 14:30-14:45 Phase space, the Lyapanov exponent 14:45-15:00 Analysis of time and spatial series 15:00-15:15 Oscillators in chemistry and in earth science 15:15-15:30 Coffee break 15:30-16:30 Ex: non-linear analysis of spatial series of Pb-Zn ore dep. banding 16:30-17:00 Discussion and application of results to ore genesis 17:00-17:30 Dataset 5: Fractal Analysis of Au and Cu deposits, Sulphurets, B.C. ROUNDUP ===================================================================== Kevin Telmer University of Ottawa Department of Earth Sciences Telmer@earth.genie.uottawa.ca ===================================================================== ------------------------------ From waultman@eagle.scg.hac.com 16 Feb 1994 19:24:54 GMT Date: 16 Feb 94 19:24:54 GMT From: waultman@eagle.scg.hac.com (William Aultman) Subject: Re: Fuzzy Queries on Databases I'm interested in this area also and have found only one book (Fuzzy Systems Theory and its Applications) with one chapter on information retrieval. If you have a list of other references I wouldn't mind getting it. Thanks. William ------------------------------ From tzaucha@goodyear.com Fri Feb 18 15:03:40 1994 Date: Fri Feb 18 15:03:40 1994 From: tzaucha@goodyear.com Subject: Fuzzy Relational Operators Can 4 be considered less than 3, at least to some extent? This sounds rather strange, but it seems, at least to me, that if "4" and "3" are nominal or fuzzy values "4" could be less than "3" -- at least to some degree. I've been trying to implement some fuzzy relational operators, but this "4" < "3" thing, has sort of got me stumped. If classical logic is viewed as a limiting case of fuzzy logic, any operations defined in fuzzy logic should yield the expected results for those special crisp cases. A crisp implementation of ">" and "<" has the following property: X > Y --> Y < X. A fuzzy implementation should have that same property. So "4" < "3" should imply "3" > "4" to the same extent. This works out nicely, for example, if "4" and "3" are defined with triangular membership functions with the same dimensions. It, however, does not work very well when, for instance, the base of a triangular membership function for "4" is larger than that for "3." In this case, what seems a proper way to define "4" < "3" does not imply "3" > "4" to the same extent. The only way I could think of to ensure "4" < "3" --> "3" > "4" seemed very contrived -- basically averaging what seemed proper ways to define both sides of the -->. Another thing that needs to be considered is that traditionally X != Y --> (X < Y OR X > Y.) Again, fuzzy implementations of ">, <, and !=" should maintain this property. I apologies to those that feel this whole inquiry is mute. But I would appreciate any suggestions anyone might make. (Pertaining to fuzzy relational operators, of course.) -- ----------------------------------------------------------------------- Timothy R. Zaucha | tzaucha@goodyear.com The Goodyear Tire & Rubber Company | Tire Mechanics & Manufacturing Science - D410F | Voice (216) 796-3931 The Goodyear Technical Center | Fax (216) 796-3947 Akron, OH 44309-3531 | ----------------------------------------------------------------------- ------------------------------ From bverma@gamma.bae.uga.edu Fri, 18 Feb 1994 18:35:36 Date: Fri, 18 Feb 1994 18:35:36 From: bverma@gamma.bae.uga.edu (Brahm P. Verma) Subject: Swiss person - postdoc position I am looking for a way to contact the swiss gentleman looking for a post-doc assignment. I mailed a long message but it was returned. Thanks *************************************************************************** * * Brahm Verma, Professor * * The University of Georgia ************* Department of Biological & Agricultural Engineering * * * Driftmier Engineering Center * * * Athens, Georgia 30602-4435 * * * * * * E-Mail: bverma@gamma.bae.uga.edu ************* FAX: 706-542-8806 Voice: 706-542-0870 **************************************************************************** ------------------------------ From I0B8356@ZEUS.TAMU.EDU Fri, 18 Feb 1994 19:20:33 -0600 Date: Fri, 18 Feb 1994 19:20:33 -0600 From: Ivan Berrios Subject: Re: Vertex >Date: Fri, 18 Feb 1994 18:42:57 +0100 >From: "Bruno R. Depascale" >Subject: Vertex >Hello, > > I am doing some work with fuzzy arithmetic, and I am sure that > I read somewhere about a method that simplified the operations, and > that the obtained results were much more easier to manage. I think it > was called "the vertex method". I will appreciate any information > about this method or any other alternative method for computing fuzzy > variables. > >Thanks in advance. Yes!! there is. The paper title is "Vertex Method for Computing Functions of Fuzzy Variables" by W. Dong and H.C. Shah. The journal is Fuzzy Sets and Systems 24 (1987) 65-78. The method is really nice I've used it and it makes life a bit easier for doing simple triangular fuzzy arithmetics. Hope this helps, ------------------------------ From eledavis@ubvms.cc.buffalo.edu Sat, 19 Feb 1994 01:45:00 GMT Date: Sat, 19 Feb 1994 01:45:00 GMT From: eledavis@ubvms.cc.buffalo.edu (Elliot Davis) Subject: Error Reduction in Pattern Recognition Elliot Davis, Ph.D. E-Mail: edavis@ubvms.cc.buffalo.edu Phone: (716) 691-7235 I would greatly appreciate your thoughts on the: ERROR TEMPLATE TECHNIQUE The "Error Template" technique (patent 4,802,231) provides an alternative method for reducing false alarms in pattern recognition systems. In this approach, a pattern representing a mismatched pattern is stored in the reference lexicon. It is a reference pattern to an error rather then to what is desired. THIS IS DONE WITH THE EXPECTATION THAT IF THE ERROR PATTERN OR A VARIATION OF IT IS REPEATED IT WILL TEND TO BE CLOSER TO ITSELF THEN TO THE PATTERN THAT IT FALSED OUT TO. Preferential matching to an Error Template can result in the system deciding that: 1. the test pattern was outside its reference vocabulary or 2. the test pattern falsely matched a desired reference pattern but should be compared for possible matches to other desired reference patterns and Error Templates. In this case the Error Template is linked to specific desired reference patterns and is called a Linked Error Template. This technique should be tried on any pattern recognition system that needs improvement in error reduction or speed. Pattern recognition systems may be streamlined by reducing the amount of desired reference templates while keeping the false alarm rate down by the use of Error Templates. It is, relative to most other techniques, extremely easy to implement. The Error Template can be created and positioned in the comparison process in the same way as a normal reference pattern. As all pattern recognition systems must have a means of characterizing parameters to be stored and compared, the applicability of the Error Template technique should be widely and easily testable. ------------------------------ From olea@netcom.com Sat, 19 Feb 1994 09:53:27 GMT Date: Sat, 19 Feb 1994 09:53:27 GMT From: olea@netcom.com (Michael Olea) Subject: Re: Fuzzy String Compare ronj@mcf.roc.wayne.edu (ron jachim) writes: >You might try looking at gene sequencing algorithms to find a fuzzy string >compare. They take strings of bases, represented by the letters C, G, T, >and A, from two different strands of DNA (often from two different species) >and see how similar they are. This was a hot topic in physical anthropology >about ten years ago -- it may still be. The Human Genome project may be >keeping this alive too. One name to look for is Mark Weiss PhD. He got me >interested in the area and m >ay have published in Antropological circles. >The algorithms that I heard about were quite sophisticated and would probably >be easily extendable to a full character set. If two strings were identical, >except for an extra base or two in the middle, the strings would get a very >high percentage. In physical antropology, comparisons were made to see how >similar humans were to chimpanzees, gibbons, orangutans, gorillas, etc. >I hope this is useful. >ron >ronj@mcf.roc.wayne.edu If you can get "Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison", eds. Sankoff and Kruskal, ISBN: 0-201-07809-0, you won't regret it. Trouble is the book is out of print. Anyhow, there are a variety of METRICS on strings, any one of which can be turned into a (fuzzy) similarity. Suppose you have a metric, a function that returns the distance between two strings under the chosen metric: int MyMetric(char *s1, char *s2). You can map it to a similarity like this: d = MyMetric(s1, s2); s = 1 / (1 + d); or perhaps s = 1 / (1 + d-raised-to-some-power). Perhaps the canonical metric on strings is the "edit distance" - the minimum number of insertions, deletions, and substitutions required to transform string A into string B. It can be calculated using a dynamic algorithm. The definition sounds asymmetrical, but in fact it is not - it meets all the requirements of a metric. There are many variants; this is just one among many string metrics - any such metric can be mapped into a fuzzy similarity ranging over (0, 1] as noted above. ------------------------------ From entpm@irix.bris.ac.uk Mon, 21 Feb 1994 12:56:24 GMT Date: Mon, 21 Feb 1994 12:56:24 GMT From: entpm@irix.bris.ac.uk (Martin) Subject: Re: Vertex The original reference is Dong W and Shah H "Vertex method for computing functions on fuzzy variables", Fuzzy Sets and Systems 24 65-78 (1987) An improved method is described in Yang H.Q., Yao H, Jones J.D, "Calculating functions of fuzzy numbers", Fuzzy Sets and Systems 55 pp 273-283 (1993) This method enables you to tell when it is safe to use calculations on vertices, and which sets of vertices you need to consider. In many cases it also tells you how to extend a vertex calculation to include other important points. Trevor Martin ------------------------------ From entpm@irix.bris.ac.uk Mon, 21 Feb 1994 16:19:47 GMT Date: Mon, 21 Feb 1994 16:19:47 GMT From: entpm@irix.bris.ac.uk (Martin) Subject: Re: Fuzzy Queries on Databases The Fril system allows you to use fuzzy sets in queries, although it has a logic programming style rather than the SQL approach. See the paper Baldwin, J. F. and Martin, T. P. (1993). "From Fuzzy Databases to an Intelligent Manual using FRIL" J.Intelligent Information Systems 2 pp 365-395. for further details. Patrick Bosc gave a tutorial on "Fuzziness in Database Management Systems" at the EUFIT conference last September, which contained a number of references to the field. Trevor Martin ------------------------------ From entpm@irix.bris.ac.uk Mon, 21 Feb 1994 16:24:55 GMT Date: Mon, 21 Feb 1994 16:24:55 GMT From: entpm@irix.bris.ac.uk (Martin) Subject: Re: searching for fuzzy prolog FUZZYMAN (cervai@hp2.sm.dsi.unimi.it) wrote: : Hi, I'm working on my thesis concerning fuzy logic and prolog. : I heard something about a programming language (prior to Prolog) called FUZZY. : I need informations about it or about existing (if existing) fuzzy extensions of : Prolog. : Thanks in advance for your help. : Giorgio Cervati : E-mail : cervai@ghost.sm.dsi.unimi.it The Bristol AI group developed a fuzzy Prolog in the early-mid 80's (e.g. The Implementation of FPROLOG - a Fuzzy Prolog Interpreter, J.F.Baldwin, T.P.Martin, and B.W.Pilsworth, Fuzzy Sets and Systems 23 pp 119-129 (1987)) Later work led to the commercial development of Fril, a logic programming system incorporating several features for handling uncertainty. Trevor Martin ------------------------------ From LM03@ibm3090.rz.uni-karlsruhe.de Tue, 22 Feb 1994 10:16 Date: Tue, 22 Feb 1994 10:16 From: LM03@ibm3090.rz.uni-karlsruhe.de Subject: Sugeno, Number of Cluster Hi, is there anybody who knows the e-mail adress from Prof. Dr. M. Sugeno (Tokyo Institute of Technology) or could give me a reference to his work M. Sugeno, Y. Fukuyama (1989): "A new method of choosing the number of clusters for fuzzy-c-means method", which is not written in japanese. Thanks in advance Robert Holz ######################################################################## Universitaet Karlsruhe (TH) E-Mail: Holz@lvwpc1.wiwi.uni-karlsruhe.de lm03@ibm3090.rz.uni-karlsruhe.de Tel.: 0721-373626 Fax: 0721-358663 ######################################################################## ------------------------------ From kellyfj@unix1.tcd.ie Tue, 22 Feb 1994 09:52:45 GMT Date: Tue, 22 Feb 1994 09:52:45 GMT From: kellyfj@unix1.tcd.ie (Q) Subject: Truck Backer-upper e-mail adrs. sought Hi, I was looking over the paper by Seong-Gon Kong and Bart Kosko on their fuzzy-neural solution to the 'Truck-backer upper' and I have a few questions to ask. Does anyone know the e-mail address of either of these two gentlemen? I know Bart Kosko is in USC. replies to kellyfj@unix1.tcd.ie Thanks in advance, --Frank ------------------------------ From agosta@camis.Stanford.EDU Tue, 22 Feb 1994 16:27:55 PST Date: Tue, 22 Feb 94 16:27:55 PST From: John Mark Agosta Subject: UAI reminder Uncertainty Digest Tuesday, February 22th 1994 Tenth Annual Conference on Uncertainty in AI, last minute reminder 6th IEEE International Conference on Tools with AI ----- We are pleased to announce an extended deadline for UAI papers. Papers must be received by February 25. The other change to the previous call is that there is now a 4500 word length on papers. - D. Poole --------------------------- Tenth Annual Conference on Uncertainty in Artificial Intelligence July 29-31, 1994, Seattle, Washington CALL FOR PAPERS Reasoning under uncertainty is pervasive in all areas of Artificial Intelligence. The Uncertainty in AI conference is the major forum for advances in the theory and practice of reasoning under uncertainty. We are seeking contributions both from researchers interested in advancing the technology and from practitioners who are using uncertainty techniques in applications. The tenth annual Conference on Uncertainty in Artificial Intelligence will be devoted to methods for reasoning under uncertainty as applied to problems in artificial intelligence. The conference's scope covers the full range of approaches to automated and interactive reasoning and decision making under uncertainty, including both qualitative and numeric methods. We seek papers on fundamental theoretical issues, on representational issues, on computational techniques and on applications of uncertain reasoning, using traditional and alternative paradigms of uncertain reasoning. Topics of interest include (but are not limited to): Methods and Techniques foundations of uncertainty concepts, representation languages for uncertain knowledge, knowledge acquisition, construction of uncertainty models from data, uncertainty in machine learning, automated planning and acting, uncertainty in ill-defined environments, decision making under uncertainty, algorithms for uncertain inference, empirical studies of reasoning strategies, pooling of uncertain evidence, belief updating and inconsistency handling, summarization of uncertain information, and cont