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直觉模糊推理的语义匹配度 被引量:4

The Semantic Match Degree for Intuitionistic Fuzzy Reasoning
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摘要 首先引用Atanassov直觉模糊集的基本概念及运算,描述了直觉模糊逻辑运算及其知识表示形式,重点给出了直觉模糊逻辑命题真值的对称合成方法,定义了直觉模糊逻辑命题的基本运算。讨论了计算直觉模糊集语义匹配度的若干途径,包括贴近度、语义距离、相似度、复合条件的匹配等。最后,阐明了直觉模糊推理冲突消解的基本思想。 The fundamental notions and operations on Atanassov's Intuitionistic Fuzzy Sets are first introduced. Both the operations on Intuitionistic Fuzzy Logic and the knowledge representation by it are described with the emphasis on proposing a symmetric synthesized technique for the truth of IFL propositions and defining the fundamental operations on IFL propositions. All kinds of approaches to computing the semantic matching degree on IFS, including those of near compactness, semantic distance, similarity and compound conditions match, are discussed. Finally, the essence of morality for conflict resolving over Intuitionistic fuzzy reasoning is expounded.
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2005年第3期42-46,共5页 Journal of Air Force Engineering University(Natural Science Edition)
基金 国防科技预研基金资助项目(51406030104DZ0120)
关键词 直觉模糊集合 直觉模糊逻辑 匹配度 语义距离 相似度 intuitionistic fuzzy sets fuzzy logic matching degree semantic distance similarity
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