CFP IEEE Transactions on Fuzzy Systems

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Tue, 13 Jul 1999 19:00:18 +0200 (MET DST)

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Berkeley Initiative in Soft Computing (BISC)
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From: Jim Keller <keller@cecs.missouri.edu>

Call for Papers

Special Issue
of
IEEE Transactions on Fuzzy Systems
on
Recognition Technology

Significant Dates
Paper due: Oct. 1, 1999
Reviews Due: Jan. 31, 2000
Journal Appears: Summer, 2000

Fuzzy Systems are playing significant roles in pattern recognition systems.
These systems go beyond laboratory experiments performed on computers with
small data sets; they involve large scale developments on very large data
sets from real systems. The research and development activities that are
undertaken to produce such recognition systems often involve interaction
between universities, industries, and government agencies.

Lotfi Zadeh has stated that "In coming years, recognition technology is
likely to play a pivotal role in the conception, design, construction and
utilization of information/intelligent systems" [1]. Systems that have
incorporated fuzzy sets include speech recognition systems, handwriting
recognition systems, computer virus detection, eye-print identification,
supermarket checkout scanners, molecular breath-analyzers , password
authentication, email filtering, seizure prediction, unexploded ordnance
and landmine detection, and others [1].

The purpose of the special issue is to create an archive of descriptions of
fuzzy methods in recognition systems. Papers are sought in this area. The
systems described in the paper must involve significant applications of
fuzzy sets to real recognition system problems and should demonstrate
results on real data. Potential authors should attempt to not only
describe methodologies and systems but to provide a discussion of the
lessons learned in the development of a recognition system and the
implications for further research in fuzzy sets.

All papers will be peer-reviewed using the usual reviewing standards of the
journal. All papers must include detailed descriptions of methods and data.

[1] http://hera.eecs.berkeley.edu/Seminars/Old.98/Apr/980423.zadeh.html

Submissions should be sent to the Guest Editor in accordance with the TFS
Instructions for Authors by Oct. 1, 1999

Guest Editor: Paul Gader
201 EBW
Dept. of Computer Engineering and Computer Science
University of Missouri - Columbia
Columbia, MO 65211
gader@cecs.missouri.edu

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Frank Hoffmann UC Berkeley
Computer Science Division Department of EECS
Email: fhoffman@cs.berkeley.edu phone: 1-510-642-8282
URL: http://http.cs.berkeley.edu/~fhoffman fax: 1-510-642-5775
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