Defective emotion recognition in early HD is neuropsychologically and anatomically generic

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• 作者：Susie M.D. Henley ; Edward J. Wild ; Nicola Z. Hobbs ; Jason D. Warren ; Chris Frost ; Rachael I. Scahill ; Gerard R. Ridgway ; David G. MacManus ; Roger A. Barker ; Nick C. Fox ; Sarah J. Tabrizi
• 关键词：Deductive fuzzy logic ; Fuzzy elements ; Gradual sets ; Entropy of fuzzy sets ; Aggregation ; Membership degrees ; Methodology of fuzzy mathematics
• 刊名：Neuropsychologia
• 出版年：2008
• 出版时间：July 2008
• 年：2008
• 卷：46
• 期：8
• 页码：2152-2160
• 全文大小：916 K

文摘

In three case studies on notions of fuzzy logic and fuzzy set theory (Dubois–Prade's gradual elements, the entropy of a fuzzy set, and aggregation operators), the paper exemplifies methodological differences between traditional and deductive fuzzy logic. While traditional fuzzy logic admits various interpretations of membership degrees, deductive fuzzy logic always interprets them as degrees of truth preserved under inference. The latter fact imposes several constraints on systems of deductive fuzzy logic, which need not be followed by mainstream fuzzy logic. That makes deductive fuzzy logic a specific area of research that can be characterized both methodologically (by constraints on meaningful definitions) and formally (as a specific class of logical systems). An analysis of the relationship between deductive and traditional fuzzy logic is offered.