Dual Hesitant Bipolar Fuzzy Hamacher Prioritized Aggregation Operators in Multiple Attribute Decision Making

被引：122
作者：
Gao, Hui [1 ]
Wei, Guiwu [1 ,2 ]
Huang, Yuhan [3 ]
机构：
[1] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu 611731, Sichuan, Peoples R China
[3] Sichuan Normal Univ, Coll Math & Software Sci, Chengdu 610066, Sichuan, Peoples R China
来源：
IEEE ACCESS | 2018年 / 6卷
基金：
中国国家自然科学基金;
关键词：
Multiple attribute decision making (MADM); Bipolar fuzzy set; Dual hesitant bipolar fuzzy set; Dual hesitant bipolar fuzzy Hamacher prioritized weighted average (DHBFHPWA) operator; dual hesitant bipolar fuzzy Hamacher prioritized weighted geometric (DHBFHPWG) operator; RELATIONAL ANALYSIS METHOD; SIMILARITY MEASURES; DIAGNOSTIC-ANALYSIS; CROSS-ENTROPY; INFORMATION; SETS; WEIGHTS; NUMBERS; MODELS; SYSTEM;
D O I：
10.1109/ACCESS.2017.2784963
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigate the dual hesitant bipolar fuzzy multiple attribute decision making problems in which there exists a prioritization relationship over attributes. Then, motivated by the idea of Hamacher operations and prioritized aggregation operators, we have developed some Hamacher prioritized aggregation operators for aggregating dual hesitant bipolar fuzzy information: dual hesitant bipolar fuzzy Hamacher prioritized average operator, dual hesitant bipolar fuzzy Hamacher prioritized geometric operator, dual hesitant bipolar fuzzy Hamacher prioritized weighted average operator, dual hesitant bipolar fuzzy Hamacher prioritized weighted geometric operator. Then, we have utilized these operators to develop some approaches to solve the dual hesitant bipolar fuzzy multiple attribute decision making problems. Finally, a real-world example is then analyzed to illustrate the relevance and effectiveness of the proposed methodology.
引用
收藏
页码：11508 / 11522
页数：15
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