Titlebook: An Introduction to Computing with Fuzzy Sets; Analysis, Design, an Witold Pedrycz Book 2021 The Editor(s) (if applicable) and The Author(s)

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Peter Buxmann,Heiner Diefenbach,Thomas Hesstwo frameworks are complementary to a significant extent. The architectures of neurofuzzy systems benefit from mechanisms of . knowledge representation supported by fuzzy sets and a spectrum of . methods being a genuine forte of neurocomputing. Several categories of fuzzy (logic) neurons are introdu

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Peter Buxmann,Heiner Diefenbach,Thomas HessIn this chapter, we introduce concepts and discuss algorithmic developments of several key categories of models which dwell on ideas of fuzzy sets and information granules: granular fuzzy models, granular classifiers and fuzzy cognitive maps. It is shown that granular results convey more information about the quality of results.

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Applications: Granular Models, Granular Classifiers and Fuzzy Cognitive Maps,In this chapter, we introduce concepts and discuss algorithmic developments of several key categories of models which dwell on ideas of fuzzy sets and information granules: granular fuzzy models, granular classifiers and fuzzy cognitive maps. It is shown that granular results convey more information about the quality of results.