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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Detaylı Bibliyografya
Yazar: Cpałka, Krzysztof (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Computational Intelligence, 684
Konular:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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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