Volume 8, Issue 6, December 2015, Pages 1027 - 1043
An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems
Authors
Hong-yu Zhang, Pu Ji, Jian-qiang Wang, Xiao-hong Chen
Corresponding Author
Jian-qiang Wang
Received 7 January 2015, Accepted 24 August 2015, Available Online 1 December 2015.
- DOI
- 10.1080/18756891.2015.1099917How to use a DOI?
- Keywords
- Interval neutrosophic sets, objective weight, integrated weight, correlation coefficient, multi-criteria decision-making
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Hong-yu Zhang AU - Pu Ji AU - Jian-qiang Wang AU - Xiao-hong Chen PY - 2015 DA - 2015/12/01 TI - An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems JO - International Journal of Computational Intelligence Systems SP - 1027 EP - 1043 VL - 8 IS - 6 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2015.1099917 DO - 10.1080/18756891.2015.1099917 ID - Zhang2015 ER -