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Advanced Fuzzy Systems Design and Applications

  • Yaochu Jin

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 112)

Table of contents

  1. Front Matter
    Pages I-X
  2. Yaochu Jin
    Pages 1-47
  3. Yaochu Jin
    Pages 49-71
  4. Yaochu Jin
    Pages 73-91
  5. Yaochu Jin
    Pages 143-171
  6. Back Matter
    Pages 255-272

About this book

Introduction

Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net­ works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil­ ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil­ ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.

Keywords

algorithms artificial neural network evolution evolutionary algorithm knowledge knowledge discovery knowledge representation learning modeling multi-objective optimization neural network optimization robot robotics simulation

Authors and affiliations

  • Yaochu Jin
    • 1
  1. 1.Future Technology ResearchHonda R&D Europe GmbHOffenbach/MainGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1771-3
  • Copyright Information Physica-Verlag Heidelberg 2003
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-7908-2520-6
  • Online ISBN 978-3-7908-1771-3
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site