Advanced Fuzzy Systems Design and Applications

Yaochu Jin

$214.95 $172.08

Hardback

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English

Physica-Verlag GmbH & Co
18 November 2002

Fuzzy set theory; Algorithms & data structures; Artificial intelligence

Series: Studies in Fuzziness and Soft Computing

Summary
Details

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.

By: Yaochu Jin
Imprint: Physica-Verlag GmbH & Co
Country of Publication: Germany
Edition: 2003 ed.
Volume: 112
Dimensions: Height: 233mm, Width: 155mm, Spine: 17mm
Weight: 1.290kg
ISBN: 9783790815375
ISBN 10: 3790815373
Series: Studies in Fuzziness and Soft Computing
Pages: 272
Publication Date: 18 November 2002
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

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Advanced Fuzzy Systems Design and Applications

Yaochu Jin

$214.95 $172.08

Hardback

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