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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Main Authors: Hong-yu Zhang, Pu Ji, Jian-qiang Wang, Xiao-hong Chen
Format: Article
Language:English
Published: Springer 2015-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868647.pdf
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author Hong-yu Zhang
Pu Ji
Jian-qiang Wang
Xiao-hong Chen
author_facet Hong-yu Zhang
Pu Ji
Jian-qiang Wang
Xiao-hong Chen
author_sort Hong-yu Zhang
collection DOAJ
description 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.
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spelling doaj.art-85dcec05a0f94d4dbcc03c6e470406952022-12-22T02:56:47ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832015-12-018610.1080/18756891.2015.1099917An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making ProblemsHong-yu ZhangPu JiJian-qiang WangXiao-hong ChenThis 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.https://www.atlantis-press.com/article/25868647.pdfInterval neutrosophic setsobjective weightintegrated weightcorrelation coefficientmulti-criteria decision-making
spellingShingle Hong-yu Zhang
Pu Ji
Jian-qiang Wang
Xiao-hong Chen
An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
International Journal of Computational Intelligence Systems
Interval neutrosophic sets
objective weight
integrated weight
correlation coefficient
multi-criteria decision-making
title An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
title_full An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
title_fullStr An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
title_full_unstemmed An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
title_short An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
title_sort improved weighted correlation coefficient based on integrated weight for interval neutrosophic sets and its application in multi criteria decision making problems
topic Interval neutrosophic sets
objective weight
integrated weight
correlation coefficient
multi-criteria decision-making
url https://www.atlantis-press.com/article/25868647.pdf
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