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Design of Interpretable Fuzzy Systems

Studies in Computational Intelligence 684

By (author) Krzysztof Cpalka
Format: Hardback
Publisher: Springer International Publishing AG, Cham, Switzerland
Published: 9th Feb 2017
Dimensions: w 156mm h 234mm d 16mm
Weight: 504g
ISBN-10: 3319528807
ISBN-13: 9783319528809
Barcode No: 9783319528809
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Synopsis
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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