Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence, 684, Band 684) - Hardcover

Buch 203 von 538: Studies in Computational Intelligence

Cpałka, Krzysztof

 
9783319528809: Design of Interpretable Fuzzy Systems (Studies in Computational Intelligence, 684, Band 684)
Hardcover
ISBN 10: 3319528807 ISBN 13: 9783319528809
Verlag: Springer, 2017

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3319528807
ISBN 13 
9783319528809
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
207
Kontakt zum Hersteller
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Darmstadt
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Deutschland

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