Design of interpretable fuzzy systems

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 th...

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Bibliographic Details
Main Author Cpałka, Krzysztof (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesStudies in computational intelligence ; v. 684.
Subjects
Fuzzy systems.
Fuzzy logic.
Fuzzy sets.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319528816
9783319528809
ISSN1860-949X ;
Physical Description1 online resource (xi, 196 pages) : illustrations

Cover

Table of Contents:
  • Preface
  • Acknowledgements
  • Chapter1: Introduction
  • Chapter2: Selected topics in fuzzy systems designing
  • Chapter3: Introduction to fuzzy system interpretability
  • Chapter4: Improving fuzzy systems interpretability by appropriate selection of their structure
  • Chapter5: Interpretability of fuzzy systems designed in the process of gradient learning
  • Chapter6: Interpretability of fuzzy systems designed in the process of evolutionary learning
  • Chapter7: Case study: interpretability of fuzzy systems applied to nonlinear modelling and control
  • Chapter8: Case study: interpretability of fuzzy systems applied to identity verification
  • Chapter9: Concluding remarks and future perspectives
  • Index.

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