Dual hesitant fuzzy group decision making method and its application to supplier selection

被引:52
|
作者
Yu, Dejian [1 ,2 ]
Li, Deng-Feng [1 ]
Merigo, Jose M. [3 ,4 ]
机构
[1] Fuzhou Univ, Sch Econ & Management, Fuzhou 350108, Fujian, Peoples R China
[2] Zhejiang Univ Finance & Econ, Sch Informat, Hangzhou 310018, Zhejiang, Peoples R China
[3] Univ Manchester, Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, England
[4] Univ Chile, Dept Management Control & Informat Syst, Av Diagonal Paraguay 257, Santiago 8330015, Chile
基金
中国博士后科学基金;
关键词
DHFS; Hesitant fuzzy set; GDM; Heronian mean; Supplier selection; GEOMETRIC BONFERRONI MEANS; AGGREGATION OPERATORS; CORRELATION-COEFFICIENT; SETS; INFORMATION; ENVIRONMENT; MULTISETS; DISTANCE;
D O I
10.1007/s13042-015-0400-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of dual hesitant fuzzy set arising from hesitant fuzzy set is generalized by including a function reflecting the decision maker's fuzziness about the non-membership degree of the information provided. This paper studies some dual hesitant fuzzy information aggregation operators for aggregating dual hesitant fuzzy elements, such as dual hesitant fuzzy Heronian mean operator and dual hesitant fuzzy geometric Heronian mean operator. The research resulting dual hesitant fuzzy information aggregation operators finds an important role in group decision making (GDM) applications. It can fusion the experts' opinion to the comprehensive ones and based on which an optimal decision making scheme can be determined. The properties of the proposed operators are studied and the application on GDM are investigated. The effectiveness of the GDM method is demonstrated on the case study about supplier selection.
引用
收藏
页码:819 / 831
页数:13
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