Overview
- Focused on interpretability in fuzzy models
- Reader will acquire a deep knowledge on practical topics such as system identification with fuzzy systems and interpretability
- State of the art on the trade-off betwen interpretability and precision in fuzzy rule-based modeling
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 128)
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Table of contents (27 chapters)
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Front Matter
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Improving the Interpretability with Flexible Rule Structures
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Front Matter
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Complexity Reduction in Linguistic Fuzzy Models
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Front Matter
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Complexity Reduction in Precise Fuzzy Models
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Front Matter
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Interpretability Constraints in TSK Fuzzy Rule-Based Systems
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Front Matter
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Keywords
About this book
Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.
Editors and Affiliations
Bibliographic Information
Book Title: Interpretability Issues in Fuzzy Modeling
Editors: Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-37057-4
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-02932-8Published: 04 June 2003
Softcover ISBN: 978-3-642-05702-1Published: 16 December 2010
eBook ISBN: 978-3-540-37057-4Published: 05 June 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 643
Topics: Complexity, Artificial Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory, IT in Business