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Fuzzy Inference as Deduction

 

作者: Lluís Godo,   Petr Hájek,  

 

期刊: Journal of Applied Non-Classical Logics  (Taylor Available online 1999)
卷期: Volume 9, issue 1  

页码: 37-60

 

ISSN:1166-3081

 

年代: 1999

 

DOI:10.1080/11663081.1999.10510957

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The termfuzzy logichas two different meanings -broad and narrow. In Zadeh's opinion ([19]), fuzzy logic (in the narrow sense) is an extension of many- valued logic but having a different agenda—as generalized modus ponens, max-min inference, linguistic quantifiers etc. The question we address in this paper is whether there is something in Zadeh's specific agenda which cannot be grasped by “classiceli”, “traditional” mathematical (many-valued) logic. We show that much of fuzzy logic can be understood as classical deduction in a many-sorted many-valued Pavelka- Lukasiewicz style rational quantification logic. This means that, besides the linguistic or approximation aspects, the logical aspect (symbolic, deductive) is present too and can be made explicit.

 

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