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Information measures for generalized hesitant fuzzy information
박진한,곽희은,권영철 한국지능시스템학회 2016 한국지능시스템학회논문지 Vol.26 No.1
In this paper, we present the entropy and similarity measure for generalized hesitant fuzzy information, and discuss their desirable properties. Some measure formulas are developed, and the relationships among them are investigated. We show that the similarity measure and entropy for generalized hesitant fuzzy information can be transformed by each other based on their axiomatic definitions. Furthermore, an approach of multiple attribute decision making problems where attribute weights are unknown and the evaluation values of attributes for each alternative are given in the form of GHFEs is investigated.
Information measures for generalized hesitant fuzzy information
Jin Han Park(박진한),Hee Eun Kwark(곽희은),Young Chel Kwun(권영철) 한국지능시스템학회 2016 한국지능시스템학회논문지 Vol.26 No.1
In this paper, we present the entropy and similarity measure for generalized hesitant fuzzy information, and discuss their desirable properties. Some measure formulas are developed, and the relationships among them are investigated. We show that the similarity measure and entropy for generalized hesitant fuzzy information can be transformed by each other based on their axiomatic definitions. Furthermore, an approach of multiple attribute decision making problems where attribute weights are unknown and the evaluation values of attributes for each alternative are given in the form of GHFEs is investigated.