한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제26권1호
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  • Pages.76-81
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  • 2016
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Information measures for generalized hesitant fuzzy information

  • 투고 : 2015.11.20
  • 심사 : 2016.01.17
  • 발행 : 2016.02.25
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초록

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.

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참고문헌

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