Multi-Attribute Decision-Making Method Applying A Novel Correlation Coefficient of Interval-Valued Neutrosophic Hesitant Fuzzy Sets


Chunfang Liu, Journal of Information Processing Systems Vol. 14, No. 5, pp. 1215-1224, Oct. 2018  

https://doi.org/10.3745/JIPS.04.0089
Keywords: Correlation Coefficient, Decision-Making, Interval-Valued Neutrosophic Hesitant Fuzzy Set
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Abstract

Interval-valued neutrosophic hesitant fuzzy set (IVNHFS) is an extension of neutrosophic set (NS) and hesitant fuzzy set (HFS), each element of which has truth membership hesitant function, indeterminacy membership hesitant function and falsity membership hesitant function and the values of these functions lie in several possible closed intervals in the real unit interval [0,1]. In contrast with NS and HFS, IVNHFS can be more 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 decisionmaking problems within the framework of IVNHFS. In the end, a practical example is used to show that the approach is reasonable and effective in dealing with decision-making problems.


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Cite this article
[APA Style]
Liu, C. (2018). Multi-Attribute Decision-Making Method Applying A Novel Correlation Coefficient of Interval-Valued Neutrosophic Hesitant Fuzzy Sets. Journal of Information Processing Systems, 14(5), 1215-1224. DOI: 10.3745/JIPS.04.0089.

[IEEE Style]
C. Liu, "Multi-Attribute Decision-Making Method Applying A Novel Correlation Coefficient of Interval-Valued Neutrosophic Hesitant Fuzzy Sets," Journal of Information Processing Systems, vol. 14, no. 5, pp. 1215-1224, 2018. DOI: 10.3745/JIPS.04.0089.

[ACM Style]
Chunfang Liu. 2018. Multi-Attribute Decision-Making Method Applying A Novel Correlation Coefficient of Interval-Valued Neutrosophic Hesitant Fuzzy Sets. Journal of Information Processing Systems, 14, 5, (2018), 1215-1224. DOI: 10.3745/JIPS.04.0089.