Some Hesitant Fuzzy Einstein Aggregation Operators and Their Application to Multiple Attribute Group Decision Making

被引：12
|
作者：
Yu, Qian [1 ]
Hou, Fujun [1 ]
Zhai, Yubing [1 ]
Du, Yuqin [1 ]
机构：
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2016年 / 31卷 / 07期
基金：
中国国家自然科学基金;
关键词：
INFORMATION AGGREGATION; PRIORITIZED OPERATORS; SETS; DISTANCE; ENVIRONMENT; MODEL;
D O I：
10.1002/int.21803
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 sets, as a new generalized type of fuzzy set, has attracted scholars' attention due to their powerfulness in expressing uncertainty and vagueness. In this paper, motivated by the idea of Einstein operation, we develop a family of hesitant fuzzy Einstein aggregation operators, such as the hesitant fuzzy Einstein Choquet ordered averaging operator, hesitant fuzzy Einstein Choquet ordered geometric operator, hesitant fuzzy Einstein prioritized weighted average operator, hesitant fuzzy Einstein prioritized weighted geometric operator, hesitant fuzzy Einstein power weighted average operator, and hesitant fuzzy Einstein power weighted geometric operator. And we also study some desirable properties and generalized forms of these operators. Then, we apply these operators to deal with multiple attribute group decision making under hesitant fuzzy environments. Finally, a numerical example is provided to illustrate the practicality and validity of the proposed method. (c) 2015 Wiley Periodicals, Inc.
引用
收藏
页码：722 / 746
页数：25
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