Advanced Fuzzy Systems Design and Applications

By:

Yaochu Jin

Format:

Paperback / softback

Series:

Studies in Fuzziness and Soft Computing

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Description

This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented.

Release date Australia

December 12th, 2011

Author

Yaochu Jin

Audience

Professional & Vocational

Edition

Softcover reprint of the original 1st ed. 2003

Illustrations

228 Illustrations, black and white; X, 272 p. 228 illus.

Pages

272

Series

Studies in Fuzziness and Soft Computing

Dimensions

156x234x15

ISBN-13

9783790825206

Product ID

8940266

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