Overview
- Focused on linguistic fuzzy rule-based modeling
- Reader will acquire a deep knowledge on practical topics such as linguistic system identification with fuzzy systems and accuracy
- 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 129)
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Table of contents (15 chapters)
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Front Matter
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Accuracy Improvements Constrained by Interpretability Criteria
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Front Matter
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Extending the Modeling Process to Improve the Accuracy
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Front Matter
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Extending the Model Structure to Improve the Accuracy
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Front Matter
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Keywords
About this book
Fuzzy modeling usually comes with two contradictory requirements: interpretability, which is the capability to express the real system behavior in a comprehensible way, and accuracy, which is the capability to faithfully represent the real system. In this framework, one of the most important areas is linguistic fuzzy modeling, where the legibility of the obtained model is the main objective. This task is usually developed by means of linguistic (Mamdani) fuzzy rule-based systems. An active research area is oriented towards the use of new techniques and structures to extend the classical, rigid linguistic fuzzy modeling with the main aim of increasing its precision degree. Traditionally, this accuracy improvement has been carried out without considering the corresponding interpretability loss. Currently, new trends have been proposed trying to preserve the linguistic fuzzy model description power during the optimization process. Written by leading experts in the field, this volume collects some representative researcher that pursue this approach.
Editors and Affiliations
Bibliographic Information
Book Title: Accuracy Improvements in Linguistic Fuzzy Modeling
Editors: Jorge Casillas, Oscar Cordón, Francisco Herrera, Luis Magdalena
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-37058-1
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Hardcover ISBN: 978-3-540-02933-5Published: 04 June 2003
Softcover ISBN: 978-3-642-05703-8Published: 15 December 2010
eBook ISBN: 978-3-540-37058-1Published: 11 November 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XII, 385
Number of Illustrations: 64 b/w illustrations
Topics: Business Mathematics, Mathematical and Computational Engineering, Natural Language Processing (NLP), Artificial Intelligence, Complexity, Economic Theory/Quantitative Economics/Mathematical Methods