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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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發(fā)表于 2025-3-21 17:35:16 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Uncertain Rule-Based Fuzzy Systems
副標(biāo)題Introduction and New
編輯Jerry M. Mendel
視頻videohttp://file.papertrans.cn/942/941074/941074.mp4
概述Presents fully updated material on new breakthroughs in human-inspired rule-based techniques for handling real-world uncertainties.Allows those already familiar with type-1 fuzzy sets and systems to r
圖書(shū)封面Titlebook: Uncertain Rule-Based Fuzzy Systems; Introduction and New Jerry M. Mendel Textbook 20172nd edition The Editor(s) (if applicable) and The Aut
描述.The second edition of this textbook provides a fully 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 sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems?–?from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material..
出版日期Textbook 20172nd edition
關(guān)鍵詞Fuzzy sets and systems; Type-1 fuzzy sets and fuzzy logic; Type-2 fuzzy sets and fuzzy logic; Fuzzy log
版次2
doihttps://doi.org/10.1007/978-3-319-51370-6
isbn_softcover978-3-319-84632-3
isbn_ebook978-3-319-51370-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 22:39:32 | 只看該作者
Type-1 Fuzzy Sets and Fuzzy Logic, sets and systems are built in later chapters. Its coverage includes: crisp sets, type-1 fuzzy sets and associated concepts [including a short biography of Prof. Zadeh (the father of fuzzy sets and fuzzy logic)], type-1 fuzzy set defined, linguistic variables, returning to linguistic variables from
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Sources of Uncertainty,ut the occurrence, causes, and nature of uncertainty, uncertainties and sets, uncertainties in a fuzzy system, and collecting word data from a group of subjects to demonstrate that .. It is demonstrated that uncertainty is a commodity that can be used to control the rule explosion that is so common
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發(fā)表于 2025-3-22 15:01:27 | 只看該作者
Type-2 Fuzzy Sets,ludes: the concept of a type-2 fuzzy set, definitions of general type-2 fuzzy sets and associated concepts, definitions of interval type-2 fuzzy sets and associated concepts, examples of two popular footprints of uncertainty, interval type-2 fuzzy numbers, a hierarchy of different kinds of type-2 fu
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發(fā)表于 2025-3-22 17:06:57 | 只看該作者
Working with Type-2 Fuzzy Sets,retic operations (union, intersection, and complement) for general type-2 fuzzy sets (GT2 FSs) computed using the Extension Principle, set-theoretic operations for interval type-2 fuzzy sets (IT2 FSs), set-theoretic operations for GT2 FSs computed using horizontal slices, type-2 relations and compos
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