Fuzzy Information Engineering

Ronald R. Yager (Yager@panix.com)
Wed, 19 Feb 1997 19:07:32 +0100


ANNOUNCING A NEW BOOK
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FUZZY INFORMATION ENGINEERING: A GUIDED TOUR OF APPLICATIONS
EDITED BY: D. Dubois, H. Prade, and R. R. Yager
PUBLISHED BY: John Wiley & Sons, New York (712 p.) 1997, $70
URL: http://WWW.wiley.com/compbooks/catalog/11/14766-4.html

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This is the first book devoted exclusively to applications of fuzzy methods
in information engineering. Fuzzy Information Engineering shows how many
fuzzy set techniques can be successfully applied to information engineering
problems such as
i) the clarification and the interpretation of information
ii) the retrieval of information by querying and reasoning
iii) the utilization of information in decision making, designing and
optimization tasks.
In each of these classes of problems, fuzzy set methods are shown to play
an important role.

This book contains articles written by international recognized experts in
their fields. It takes you on a guided tour through the most important fuzzy set
theory applications of the past several years. Each chapter covers a different
application and addresses theory, methodology, and implementation. Here is
your opportunity to explore and learn from cutting-edge applications in:

*Fault diagnosis
*Internet information retrieval
*Chemical process engineering
*Data fusion
*Learning from data
*Freehand drawing
*Scheduling in production management
*Satellite image classification
*Query processing in databases
*Virtual reality, and more

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TABLE OF CONTENTS

Preface

A Manifesto- Fuzzy Information Engineering
D. Dubois, H. Prade, and R. R. Yager

Clarifying Information - Part 1: Sensing and Enhancing

Guiding Note

Chapter 1 Fuzzy Sensors: An Overview
G. Mauris, E. Benoit, and L. Foulloy

Chapter 2 A Fuzzy Freehand Drawing System
C.L.P. Chen and S. Xie

Chapter 3 Handwritten Numeric Field Location Via Fuzzy Logic
P. Gader, J.M. Keller, and J. Cai

Chapter 4 Segmenting Medical Images with Fuzzy Models: An Update
J.C. Bezdek, L.O. Hall, M. Clark, D. Goldgof, and L.P. Clark

Chapter 5 Fuzzy Modeling and Fuzzy Mathematical Morphology Applied to 3D
Reconstruction of Blood Vessels by Multi-Modality Data Fusion
I. Bloch, C. Pellot, F. Sureda, and A. Herment

Chapter 6 Multi-Sources Information-Fusion Application for Satellite
Image Clarification
L. Roux and J. Desachy

Chapter 7 The Possiblistic Expert Judgement System PEAPS
S.A. Sandri

Clarifying Information - Part 2: Abstracting and Modeling

Guiding Note

Chapter 8 Learning from Imperfect Data
B. Bouchon-Meunier, C. Marsala, and M. Ramdani

Chapter 9 Extracting Fuzzy Rules from Data for Function Approximation and
Pattern Classification
S.L. Chiu

Chapter 10 Probabilistic Validation of Fuzzy Rules with NonFuzzy
Conclusions
F.Bergdano and V. Cutello

Chapter 11 Nonlinear Channel Equalization by Adaptive Fuzzy Filter
L.X. Wang and J.M. Mendel

Chapter 12 Possibilistic Time-Series Model and Analysis of Consumption
J. Watada

Chapter 13 Virtual Worlds in Feedback Fuzzy Systems
J. A. Dickerson and B.Kosko

Retrieving Information - Part 1: Querying

Guiding Note

Chapter 14 Fuzzy Queries in Microsoft AccessTM V.2
J. Kacprzyk and S. Zadrozny

Chapter 15 Extending SQL Features for the Handling of Flexible Queries
P. Bosc and O. Pivert

Chapter 16 A Fuzzy SQL Summary Language for Data Discovery
D. Rasmussen and R.R. Yager

Chapter 17 A Fuzzy Information Retrieval System Handling Users'
Preferences on Document Sections
G. Bordogna and G. Pasi

Chapter 18 Data Model and Fuzzy Information Retrieval for Scenic Image
Database: Theoretical Extension of a Traditional Crisp Model to Fuzzy Model-
Y. Isomoto, K. Yoshine, H. Nakatani, and N. Ishii

Chapter 19 Query Fuzzification for Internet Information Retrieval
H.L. Larsen and R.R. Yager

Chapter 20 Fuzzy Database Techniques: An Application to Criminal
Investigation
R. Vandenberghe and R. De Caluwe

Chapter 21 An Approach to Modeling Impreciseness and Uncertainty in the
Object-Oriented Data Model
R. George, R. Srikanth, B.P. Buckles, and F.E. Petry

Retrieving Information - Part 2: Reasoning

Guiding Note

Chapter 22 The Progression of the First Fuzzy Logic Control Application
L.P. Homblad and J.J. +stergaard

Chapter 23 MILORD: The Architecture and the Management of Linguistically
Expressed Uncertainty
L. Godo, R. Lopez de Mantaras, and C. Sierra

Chapter 24 Fuzzy Set Methods in Inheritance Networks
R.R.Yager

Chapter 25 POSSINFER: A Software Tool for Possibilistic Inference
J. Gebhard and R. Kruse

Chapter 26 Possibilistic Assumption-Based Truth-Maintenance Systems in a
Data Fusion Problem
S. Benferhat, T.Chehire, and F. Fulvio Monai

Chapter 27 Possibilistic handling of Uncertainty in Practical Fault
Isolation
D. Cayrac, D. Dubois, and H. Prade

Chapter 28 A Fuzzy Categorical Grammar for the Harmonization of Melodies
F.S. Correa da Silva and F. Kon

Exploiting Information - Part 1: Decision-Making

Guiding Note

Chapter 29 Operators in Models of Decision Making
H.J. Zimmermann

Chapter 30 Use of Fuzzy Decision-Making Method for a Large-Scale and
Multiple Objectives Problem
H. Maeda and S. Murakami

Chapter 31 Fuzzy Measures and Integral: A Survey of Applications and
Recent Issues
M. Grabisch

Chapter 32 Risk Management with Imprecise Information
K.J. Engemann, R.R. Yager, and H.E. Miller

Chapter 33 Use of Possibility Theory to Measure Driver Anxiety During
Signal Change Intervals
S. Kikuchi and V. Perincherry

Chapter 34 An Interactive Group Decision Support System for Consensus
Reaching using Fuzzy Logic with Linguistic Quantifiers
J. Kacprzyk, S. Zadrozny, and M. Fedrizzi

Exploiting Information - Part 2: Designing and Optimizing

Guiding Note

Chapter 35 Tuning the Cutting Edge Conditions on a Machining Transfer
Line Using Fuzzy Constraint Propagation
D. Dubois

Chapter 36 Media Selection and other Applications of Linear Programming
H.J. Zimmermann

Chapter 37 Fuzzy Set Methods in Separation Process Synthesis
S. Djouad, P. Floquet, S. Domenech, and L. Pibouleau

Chapter 38 Improving Engineering Design with Fuzzy Sets
E. K. Antonsson and K. Otto

Chapter 39 Fuzzy Scheduling: Principles and Experiments
H. Fargier

Chapter 40 Scheduling System Design: Three Fuzzy Theory Approaches
I.B. Turksen

Chapter 41 Tuning of Fuzzy Rules for Multi-Objective Scheduling
B. Grabot, L. Geneste, and A. Dupeux

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http://WWW.wiley.com/compbooks/catalog/11/14766-4.html