考古学
发表于 2025-3-25 03:22:43
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令人发腻
发表于 2025-3-25 07:42:10
Interval Type-2 Fuzzy Systems: Design Methods and Case Studies,ence system—ANFIS, and structure identification and feature extraction—SIFE—for TSK systems); and the continuation of the Chap. . five case studies from T1 to IT2 fuzzy systems (forecasting of time series, knowledge mining using surveys, rule-based classification of video traffic, fuzzy logic contro
蒸发
发表于 2025-3-25 13:31:48
General Type-2 Fuzzy Systems,sign method and one extensive case study. Not only are derivations provided, but a lot of emphasis is also placed on understanding the potential benefits of using a WH GT2 fuzzy system over an IT2 fuzzy system..The coverage of this chapter focuses on singleton fuzzification, the use of the horizonta
避开
发表于 2025-3-25 17:54:16
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迁移
发表于 2025-3-25 20:09:25
Aysen Bakioglu,Ozge Hacifazlioglumalized TSK); a comprehensive numerical example that illustrates all of the computations for one kind of a Mamdani fuzzy system and two kinds of TSK fuzzy systems (this example is continued in later chapters); fuzzy basis functions that provide a mathematical description of a fuzzy system from its i
jagged
发表于 2025-3-26 03:39:54
Sub-Surface Microstructural Analysisusing surveys, rule-based classification of video traffic, fuzzy logic control, and explainable type-1 fuzzy systems), all of which are re-examined in Chap. .. There are two appendixes: Appendix 1 introduces novel Constraints Almost Always Satisfied Parameters (CAASPs) for type-1 fuzzy sets and syst
remission
发表于 2025-3-26 04:45:02
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混合物
发表于 2025-3-26 11:33:10
Techniques for Histopathological Analysis, 1 provides proofs for 10 theorems; Appendix 2 is about the properties of T2 FSs; Appendix 3 derives the union, intersection, and complement of IT2 FSs using type-1 fuzzy set mathematics; and, Appendix 4 is about cardinality and similarity of T2 FSs. 22 examples are used to illustrate the chapter’s
排出
发表于 2025-3-26 13:55:07
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诱使
发表于 2025-3-26 20:11:36
H. N. Pollack,J. H. Sass,D. Stromeyerngleton, type-1 non-singleton, and IT2 non-singleton); (derivation of) input–output formulas for the fuzzy inference engine (also valid for GT2 fuzzy systems); the effects of the three kinds of fuzzifiers on the input–output formulas (valid for IT2 fuzzy systems); combining or not combining fired-ru