Titlebook: Uncertain Rule-Based Fuzzy Systems; Introduction and New Jerry M. Mendel Textbook 20172nd edition The Editor(s) (if applicable) and The Aut

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Jerry M. Mendelbased on artificial neural networks (ANN) was implemented. This made it possible to investigate discriminating variables on noise emitted by different types of equipment..The analysis performed allows the identification of different operating machines through the emitted noise. Moreover, thanks to a

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Jerry M. Mendelapid Entire Body Assessment) and RULA (Rapid Upper Limb Assessment)..From the data analysis, the diversity of the calculation process emerged; the two indices are not interchangeable and return a different level of risk for the same task: MEDIUM with action required for REBA and “further study requi

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Introduction,ion of this book was written), and some literature about applications of type-2 fuzzy set and systems; and provides a brief summary of what is covered in Chaps. .–., a very short statement about the applicability of the book’s coverage outside of the field of rule-based fuzzy systems, and a list of

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Type-1 Fuzzy Systems,proximation by it, continuity of it, rule explosion and some ways to control it, and rule interpretability for it). Eighteen examples are used to illustrate the important concepts and there is also a comprehensive numerical example in Sect.?. that is continued in later chapters. Chap.?. builds upon

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Interval Type-2 Fuzzy Systems,ng or not combining fired-rule output sets on the way to defuzzification, type-reduction (centroid, height, and center-of-sets)?+?defuzzification for an IT2 Mamdani fuzzy system, type-reduction?+?defuzzification for four kinds of IT2 TSK fuzzy systems, novelty partitions, approximate type-reduction