An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems

This paper presents a new correlation coefficient measure, which satisfies the requirement of this measure equaling one if and only if two interval neutrosophic sets (INSs) are the same. And an objective weight of INSs is presented to unearth and utilize deeper information that is uncertain. Using t...

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Bibliographic Details
Published inInternational journal of computational intelligence systems Vol. 8; no. 6; pp. 1027 - 1043
Main Authors Zhang, Hong-yu, Ji, Pu, Wang, Jian-qiang, Chen, Xiao-hong
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2015
Springer Nature B.V
Springer
Subjects
Correlation analysis
correlation coefficient
Correlation coefficients
Decision making
integrated weight
Interval neutrosophic sets
multi-criteria decision-making
Multiple criterion
objective weight
Research Article
Weight
Interval neutrosophic sets
multi-criteria decision-making
integrated weight
objective weight
correlation coefficient
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Summary:This paper presents a new correlation coefficient measure, which satisfies the requirement of this measure equaling one if and only if two interval neutrosophic sets (INSs) are the same. And an objective weight of INSs is presented to unearth and utilize deeper information that is uncertain. Using the proposed weighted correlation coefficient measure of INSs, a decision-making method is developed, which takes into account the influence of the evaluations’ uncertainty and both the objective and subjective weights.
Bibliography:ObjectType-Article-1
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ISSN:1875-6891
1875-6883
1875-6883
DOI:10.1080/18756891.2015.1099917