Handbook of Fuzzy Computation

by E Ruspini (Editor), P Bonissone (Editor), W Pedrycz (Editor)

Overview

This book, a joint publication of the Institute of Physics Publishing and Oxford University Press, is the third in a series of three works that form part of the Oxford/IOP Computational Intelligence Library project. The other two works are the Handbook of Neural Computation and the Handbook of Evolutionary Computation. Each of the three handbooks is available in loose-leaf print form, as well as in an electronic version that combines both CD-ROM and on-line (World Wide Web) access to the contents. In each case, regularly published supplements will be available on a subscription basis.

Product Details

ISBN-13:	9780750304276
Publisher:	Taylor & Francis
Publication date:	01/01/1998
Series:	Computational Intelligence Library
Edition description:	New Edition
Pages:	1228
Product dimensions:	8.25(w) x 11.69(h) x (d)

About the Author

E Ruspini (Edited by) , P Bonissone (Edited by) , W Pedrycz (University of Manitoba, Canada) (Edited by)

Table of Contents

Foreword. Preface. Introduction. Fundamental Concepts of Fuzzy Computation. Fuzzy Models. Hybrid Approaches. Fuzzy Computation Environments. Applications of Fuzzy Computation. Fuzzy Computation in Practice. Fuzzy Computation Research. Appendices.

What People are Saying About This

John Yen

This handbook is the most comprehensive source for the theories, technologies, and applications of fuzzy logic. It can also serve the needs of a wide range of readers, from researchers and students in academia to practitioners in industry. (John Yen, Texas A&M University)

Editorial Reviews

"This handbook is the most comprehensive source for the theories, technologies, and applications of fuzzy logic. It can also serve the needs of a wide range of readers, from researchers and students in academia to practitioners in industry."
-John Yen, Texas A&M University, College Station, USA

From the Publisher

The third in a series of reference works dealing with computational intelligence methodologies<-->that is, computational approaches stressing approximation of essential aspects of system behavior and emulation of various cognitive and biological mechanisms. Topics include background information and motivational considerations; basic concepts; various fuzzy modeling approaches; hybrid approaches; software and hardware tools; and various applications such as control, robotics, system optimization, telecommunications, information retrieval, and medical diagnostics. Annotation c. by Book News, Inc., Portland, Or.

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