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- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 112)
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About this book
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.
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Table of contents (9 chapters)
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Front Matter
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Back Matter
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Bibliographic information
Book title: Advanced Fuzzy Systems Design and Applications
Authors: Yaochu Jin
Series title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-7908-1771-3
Publisher: Physica Heidelberg
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eBook packages: Springer Book Archive
Copyright information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-7908-1537-5Published: 18 November 2002
Softcover ISBN: 978-3-7908-2520-6Published: 12 December 2011
eBook ISBN: 978-3-7908-1771-3Published: 06 December 2012
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition number: 1
Number of pages: X, 272
Number of illustrations: 228 b/w illustrations
Topics: Programming Techniques, Artificial Intelligence, Mathematical Logic and Foundations, Data Structures and Information Theory, Algorithm Analysis and Problem Complexity