Multiple Attribute Group Decision Making Under Hesitant Fuzzy Environment

被引:1
|
作者
Wang, Weize [1 ]
Lu, Qi-An [1 ]
Yang, Li [1 ]
机构
[1] Guangxi Normal Univ, Sch Econ & Management, Guilin 541004, Peoples R China
关键词
Hesitant fuzzy set; Einstein operation; Hesitant fuzzy Einstein arithmetic averaging operator; Multiple attribute group decision making (MAGDM); INTUITIONISTIC FUZZY; AGGREGATION OPERATORS; SET THEORY; INFORMATION;
D O I
10.1007/978-3-319-19515-5_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Hesitant fuzzy set is a very useful means to depict the decision information in the process of decision making. In this paper, motivated by the extension principle of hesitant fuzzy sets, we export Einstein operations on fuzzy sets to hesitant fuzzy sets, and develop some new arithmetic averaging aggregation operators, such as the hesitant fuzzy Einstein weighted averaging (HFWA epsilon) operator, hesitant fuzzy Einstein ordered weighted averaging (HFOWA(epsilon)) operator, and hesitant fuzzy Einstein hybrid weighted averaging (HFHWA(epsilon)) operator, for aggregating hesitant fuzzy elements. Finally, we apply the proposed operators to multiple attribute group decision making with hesitant fuzzy information.
引用
收藏
页码:171 / 182
页数:12
相关论文
共 50 条