Characterization of generalized (h,e)-implications based on the characterization of (f,e) and (g,e)-implications

Information Sciences(2022)

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摘要
The open problem of the characterization of generalized (h,e)-implications is studied and totally solved. It is retrieved that the structure of generalized (h,e)-implications can be described in terms of two families which are generalizations of the well-known Yager’s implications, called (f,e) and (g,e)-implications. Thus, to obtain the characterization of generalized (h,e)-implications first, an axiomatic characterization of these two families is presented, and then these two results are applied to obtain an axiomatic characterization of generalized (h,e)-implications in terms of their own properties. The characterizations presented rely on two new additional properties of fuzzy implication functions which are modifications of the law of importation.
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关键词
Fuzzy implication function,(h,e)-implications,(f,e) and (g,e)-implications,characterization,Law of importation,Horizontal threshold method
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