Grievous 发表于 2025-3-21 18:27:03

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欢乐东方 发表于 2025-3-21 20:53:28

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2否定 发表于 2025-3-22 03:29:40

Type-1 Fuzzy Systems: Design Methods and Case Studies, in order to fully specify a type-1 fuzzy system, introduces two approaches to design—the partially dependent approach and the totally independent approach, includes some important design methods, and has five extensive case studies..This chapter covers the following topics: a detailed overview of w

典型 发表于 2025-3-22 05:17:33

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逢迎春日 发表于 2025-3-22 09:52:55

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大暴雨 发表于 2025-3-22 12:59:34

Working with Type-2 Fuzzy Sets,terested in interval type-2 fuzzy sets, a shortcut is possible, and is explained in Sect. ...This chapter covers the following topics: set theoretic operations (union, intersection, and complement) for general type-2 fuzzy sets (GT2 FSs) computed by using the Extension Principle; set theoretic opera

大暴雨 发表于 2025-3-22 19:32:46

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Little 发表于 2025-3-22 21:30:37

Interval Type-2 Fuzzy Systems,, it provides a very comprehensive and unified description of the two major kinds of IT2 fuzzy systems that are widely used in real-world applications—IT2 Mamdani and TSK fuzzy systems. Importantly, it also distinguishes between IT2 fuzzy systems that include type-reduction followed by defuzzificati

FICE 发表于 2025-3-23 01:57:17

Interval Type-2 Fuzzy Systems: Design Methods and Case Studies,king the choices that are needed in order to fully specify an IT2 fuzzy system, introduces two approaches to design—the partially dependent approach and the totally independent approach (but this time for singleton, T1 non-singleton, and IT2 non-singleton IT2 fuzzy systems), includes some important

Type-1-Diabetes 发表于 2025-3-23 06:54:03

General Type-2 Fuzzy Systems,ed description of two major kinds of aggregated horizontal-slice GT2 fuzzy systems (due to Christian Wagner and Hani Hagras, and called herein a . fuzzy system) that may be used in real-world applications—WH GT2 Mamdani and WH GT2 TSK fuzzy systems. Importantly, it also distinguishes between WH GT2
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查看完整版本: Titlebook: Explainable Uncertain Rule-Based Fuzzy Systems; Jerry M. Mendel Textbook 2024Latest edition The Editor(s) (if applicable) and The Author(s