Multicriteria group decision-making method using the distances-based similarity measures between intuitionistic trapezoidal fuzzy numbers

被引:21
|
作者
Ye, Jun [1 ,2 ]
机构
[1] Shaoxing Univ, Dept Mechatron Engn, Shaoxing 312000, Zhejiang, Peoples R China
[2] So Polytech State Univ, Sch Engn, Marietta, GA 30060 USA
关键词
intuitionistic fuzzy number; intuitionistic trapezoidal fuzzy number; distance measure; expected weight value; multicriteria group decision making; VAGUE SET-THEORY;
D O I
10.1080/03081079.2012.676545
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Hamming and Euclidean distances between intuitionistic trapezoidal fuzzy numbers and the distances-based similarity measures are proposed in this study, then an intuitionistic trapezoidal fuzzy multicriteria group decision-making method is established using the similarity measures and expected weight values, in which linguistic values of intuitionistic trapezoidal fuzzy numbers for linguistic terms are used to assess alternatives with respect to qualitative criteria and criteria weights. We establish simple and exact formulae to solve the multicriteria group decision-making problem based on the similarity measures between the ideal alternative and each alternative, the ranking order of all the alternatives and the best one can be determined by the proposed similarity measures. Finally, an illustrative example demonstrates the implementation process of the technique.
引用
收藏
页码:729 / 739
页数:11
相关论文
共 50 条