Multi-Attribute Decision-Making Method Applying A Novel Correlation Coefficient of Interval-Valued Neutrosophic Hesitant Fuzzy Sets
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초록
Interval-valued neutrosophic hesitant fuzzy set (IVNHFS) is an extension of neutrosophic set (NS) andhesitant fuzzy set (HFS), each element of which has truth membership hesitant function, indeterminacymembership hesitant function and falsity membership hesitant function and the values of these functions liein several possible closed intervals in the real unit interval [0,1]. In contrast with NS and HFS, IVNHFS can bemore flexibly used to deal with uncertain, incomplete, indeterminate, inconsistent and hesitant information. In this study, I propose the novel correlation coefficient of IVNHFSs and my paper discusses its properties. Then, based on the novel correlation coefficient, I develop an approach to deal with multi-attribute decisionmakingproblems within the framework of IVNHFS. In the end, a practical example is used to show that theapproach is reasonable and effective in dealing with decision-making problems.
Abstract
Interval-valued neutrosophic hesitant fuzzy set (IVNHFS) is an extension of neutrosophic set (NS) andhesitant fuzzy set (HFS), each element of which has truth membership hesitant function, indeterminacymembership hesitant function and falsity membership hesitant function and the values of these functions liein several possible closed intervals in the real unit interval [0,1]. In contrast with NS and HFS, IVNHFS can bemore flexibly used to deal with uncertain, incomplete, indeterminate, inconsistent and hesitant information. In this study, I propose the novel correlation coefficient of IVNHFSs and my paper discusses its properties. Then, based on the novel correlation coefficient, I develop an approach to deal with multi-attribute decisionmakingproblems within the framework of IVNHFS. In the end, a practical example is used to show that theapproach is reasonable and effective in dealing with decision-making problems.
참고문헌 (25)
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