Between Mind And Computer: Fuzzy Science And Engineering
Will be published approx. on 1. January 1994
Book
Paperback/Softback
404 pages
978-981-02-3663-2 (ISBN)
Description
The "Fuzzy Explosion" emanating from Japan has compelled more people than ever to ponder the meaning and potential of fuzzy engineering. Scientists all over are now beginning to harness the power of fuzzy recognition and decision-making - reminescent of the way the human mind works - in computer applications.In this book a blue-ribbon list of contributors discusses the latest developments in topics such as possibility logic programming, truth-valued flow inference, fuzzy neural-logic networks and default knowledge representation. This volume is the first in a series aiming to document advances in fuzzy set theory and its applications.
Reviews / Votes
"Between Mind and Computers presents a wealth of information about fuzzy logic and its applications. In my view, it is a must-read for everyone who is interested in developing a thorough understanding of the theory and an up-to-date familiarity with its applications." Foreword by Lotfi A Zadeh University of California, BerkeleyMore details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
ISBN-13
978-981-02-3663-2 (9789810236632)
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Schweitzer Classification
Persons
Content
Hypothetical reasoning in possibilistic logic - basic notions, applications and implementation issues, S. Banferhat et al; an automatic start-up and shut-down control of a drum-type boiler using fuzzy logic, Z. Bien et al; applicability of the fuzzy controller, J.J. Buckley; fuzzy representation and inference methods, I.B. Turkson; fuzzy neural-logic networks, S.C. Chan et al; I-fuzzy structure - the world of strictly monotonous norms, L.T. Koczy; fyzzy decision making - a survey, P-T. Chang and E.S. Lee; fuzzy topology, stratifications and category theory, Y-M. Liu et al; foundations of fuzzy logic programming, M. Mukaidono and H. Kikuchi; optimization of fuzzy models for system analyis, pattern recognition and knowledge engineering, W. Pedrycz; importance in intelligent retrieval systems, E. Sanchez; fuzzy random dynamic systems, G-Y Wang and J-P Ou; truth valued flow inference theory and its applications, P-Z. Wang et al; default knowledge representation in the theory of approximate reasoning - an implementation, J. Scarpelli et al.