Overview
- Presents insights into the design of interpretable fuzzy systems
- Is intended primarily for researchers in fuzzy systems and computational intelligence
- Written by a leading expert in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 684)
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About this book
This book shows that the term “interpretability” goes far beyond the concept of readability of a fuzzy set and fuzzy rules. It focuses on novel and precise operators of aggregation, inference, and defuzzification leading to flexible Mamdani-type and logical-type systems that can achieve the required accuracy using a less complex rule base. The individual chapters describe various aspects of interpretability, including appropriate selection of the structure of a fuzzy system, focusing on improving the interpretability of fuzzy systems designed using both gradient-learning and evolutionary algorithms. It also demonstrates how to eliminate various system components, such as inputs, rules and fuzzy sets, whose reduction does not adversely affect system accuracy. It illustrates the performance of the developed algorithms and methods with commonly used benchmarks. The book provides valuable tools for possible applications in many fields including expert systems, automatic control and robotics.
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
Bibliographic Information
Book Title: Design of Interpretable Fuzzy Systems
Authors: Krzysztof Cpałka
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-52881-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-52880-9Published: 09 February 2017
Softcover ISBN: 978-3-319-85006-1Published: 04 May 2018
eBook ISBN: 978-3-319-52881-6Published: 31 January 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XI, 196
Number of Illustrations: 65 b/w illustrations