Interpretability Issues in Fuzzy Modeling

Released on by Jorge Casillas
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  • Interpretability Issues in Fuzzy Modeling Book Detail

  • Author : Jorge Casillas
  • Release Date : 2013-06-05
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 646
  • ISBN 13 : 3540370579
  • File Size : 29,29 MB
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Interpretability Issues in Fuzzy Modeling by Jorge Casillas PDF Summary

Book Description: Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic classification, long-term prediction, or medical and engineering analysis. The research developed in the topic during the last two decades has been mainly focused on exploiting the fuzzy model flexibility to obtain the highest accuracy. This approach usually sets aside the interpretability of the obtained models. However, we should remember the initial philosophy of fuzzy sets theory directed to serve the bridge between the human understanding and the machine processing. In this challenge, the ability of fuzzy models to express the behavior of the real system in a comprehensible manner acquires a great importance. This book collects the works of a group of experts in the field that advocate the interpretability improvements as a mechanism to obtain well balanced fuzzy models.

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Interpretability Issues in Fuzzy Modeling

Interpretability Issues in Fuzzy Modeling

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Fuzzy modeling has become one of the most productive and successful results of fuzzy logic. Among others, it has been applied to knowledge discovery, automatic

Design of Interpretable Fuzzy Systems

Design of Interpretable Fuzzy Systems

File Size : 32,32 MB
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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