Titlebook: Repetitorium Intensivmedizin; Vorbereitung auf die Michael Fresenius,Michael Heck,Wolfgang Zink Book 2014Latest edition Springer-Verlag Ber

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书目名称Repetitorium Intensivmedizin影响因子(影响力)学科排名




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书目名称Repetitorium Intensivmedizin网络公开度学科排名




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书目名称Repetitorium Intensivmedizin被引频次学科排名




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书目名称Repetitorium Intensivmedizin年度引用学科排名




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书目名称Repetitorium Intensivmedizin读者反馈学科排名

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.)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

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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

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Apoptosis

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

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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

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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

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-