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Extended VIKOR method based on cross-entropy for interval-valued intuitionistic fuzzy multiple criteria group decision making

Journal of Intelligent & Fuzzy SystemsPublished 1 January 2013
Xinye Zhao, Shuai Tang, Shanliang Yang, Kedi Huang
Citations31
SJR quartileQ2
SJR score0.36
SNIP0.62

TL;DR

This study provides a rational and systematic process for developing the best alternative and compromise solution under the interval-valued intuitionistic fuzzy environment by extending the fuzzy VIKOR method.

Abstract

With respect to multiple criteria group decision making problems with conflicting and non-commensurable criteria, it is generally difficult to find an alternative that meets all the criteria simultaneously. By extending the fuzzy VIKOR method, this study provides a rational and systematic process for developing the best alternative and compromise solution under the interval-valued intuitionistic fuzzy environment. Furthermore, a fuzzy cross-entropy approach is proposed to state the discrimination measure between optional and optimal interval-valued intuitionistic fuzzy numbers. Finally, to expatiate on the practical value of the method proposed, an illustrative example is presented to demonstrate its practicality and effectiveness over existing TOPSIS method.

Keywords

Computer ScienceDecision SciencesBusiness, Management and Accounting