Titlebook: Explainable Uncertain Rule-Based Fuzzy Systems; Jerry M. Mendel Textbook 2024Latest edition The Editor(s) (if applicable) and The Author(s

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ype-2 rule based fuzzy systems.Features complete classroom mThe third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy

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Philipp Grollmann,Geoff Haywarde-2 fuzzy sets can; (maxim #2) . people or else people are not communicating effectively; and a method for mapping a data interval (collected from a subject) into a type-1 fuzzy set (leading to an ensemble of type-1 fuzzy sets for a group of subjects). Modeling words using type-2 fuzzy sets is continued in Chap. ..

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Sources of Uncertainty and Membership Functions,e-2 fuzzy sets can; (maxim #2) . people or else people are not communicating effectively; and a method for mapping a data interval (collected from a subject) into a type-1 fuzzy set (leading to an ensemble of type-1 fuzzy sets for a group of subjects). Modeling words using type-2 fuzzy sets is continued in Chap. ..

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Introduction,literature (1975–1992) about type-2 fuzzy sets and systems, and the literature that was heavily used when the first edition of this book was written; coverage of Chaps. ., ., ., ., ., ., ., ., ., and .; applicability of the book’s contents outside of the field of rule-based fuzzy systems; and a list

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Type-2 Fuzzy Sets Including Word Models,word models, including such models for two vocabularies (one with 32 words, and the other with 16 words). The appendix provides sources for other word codebooks. Twenty-six examples are used to illustrate the important concepts.

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