到凝乳
发表于 2025-3-21 18:06:19
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清洗
发表于 2025-3-21 23:10:07
.)and is called linguistic when its values are linguistic terms (e.g. .). The set of values of a linguistic variable contains at least one primary term (.)and most often its antonym or polar opposite (.). All the other terms are constructed from these base terms using logical connectives (.), negat
渐变
发表于 2025-3-22 00:46:15
Wolfgang Zink .)and is called linguistic when its values are linguistic terms (e.g. .). The set of values of a linguistic variable contains at least one primary term (.)and most often its antonym or polar opposite (.). All the other terms are constructed from these base terms using logical connectives (.), negat
MAOIS
发表于 2025-3-22 06:26:20
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OATH
发表于 2025-3-22 09:56:05
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Apoptosis
发表于 2025-3-22 15:23:17
Wolfgang Zinkional equations, and the partiality as a tool for modeling undefined values. As the first topic basically formally investigates the correctness of fuzzy rule-based systems by the investigation of the preservation of modus ponens, the other one allows dealing in an elegant algebraic way with distinct
装入胶囊
发表于 2025-3-22 18:16:42
Wolfgang Zinks were developed to assist in this type of event, but often information is lost in the alternatives analysis since not all the alternatives fulfil criteria in the same way. Moreover, in these methods, once the debate is over, it is not usually possible to reopen the decision process. Finally, the th
left-ventricle
发表于 2025-3-22 21:38:47
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骄傲
发表于 2025-3-23 02:11:39
Michael Freseniuslearning abilities, for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed neural-network-based fuzzy logic control system (NN-FLCS) can be contrasted with the traditional fuzzy logic control system in their network structure and learning ability. An on-
Omnipotent
发表于 2025-3-23 05:51:45
Wolfgang Zinklearning abilities, for realizing the basic elements and functions of a traditional fuzzy logic controller. The proposed neural-network-based fuzzy logic control system (NN-FLCS) can be contrasted with the traditional fuzzy logic control system in their network structure and learning ability. An on-