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

被引:27
作者
Zhao, Xinye [1 ]
Tang, Shuai [1 ]
Yang, Shanliang [1 ]
Huang, Kedi [1 ]
机构
[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China
关键词
Interval-valued intuitionistic fuzzy sets (IVIFS); multiple criteria group decision making(MCGDM) problem; VIKOR; entropy; cross entropy; AGGREGATION OPERATORS; PREFERENCE RELATIONS; INFORMATION; MODELS; SETS; OPTIMIZATION; SELECTION;
D O I
10.3233/IFS-130790
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:1053 / 1066
页数:14
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