Design of Interpretable Fuzzy Systems (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 684
Release date:	February 2017
First published:	2017
Authors:	Krzysztof Cpalka
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Hardcover
Pages:	196
Edition:	1st ed. 2017
ISBN-13:	978-3-319-52880-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-52880-7
Barcode:	9783319528809

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