Multiple Attribute Decision Making With Interval-Valued Bipolar Fuzzy Information and Their Application to Emerging Technology Commercialization Evaluation

被引：63
作者：
Wei, Guiwu [1 ]
Wei, Cun [2 ]
Gao, Hui [1 ]
机构：
[1] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China
[2] Southwest Petr Univ, Sch Sci, Chengdu 610500, 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; IVBFSs; Hamacher aggregation; IVBFHHA operator; IVBFHHG operator; emerging technology commercialization; HAMACHER AGGREGATION OPERATORS; DIAGNOSTIC-ANALYSIS; EQUILIBRIUM; ENTERPRISE; AVERAGES; SUPPORT; NUMBERS; SETS;
D O I：
10.1109/ACCESS.2018.2875261
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 multiple attribute decision making (MADM) problems with interval-valued bipolar fuzzy sets (IVBFSs). First, the concept, operational laws, score function, and accuracy function of IVBFSs are defined. Then, based on the operational laws, some interval-valued bipolar fuzzy Hamacher aggregation operators are developed for aggregating the interval-valued bipolar fuzzy information. A series of characteristics of aggregation operators is studied. Then, based on these proposed operators, we develop an interval-valued bipolar fuzzy method to solve an uncertainty MADM problem. Finally, an illustrative example for evaluating the emerging technology commercialization is given to verify the developed approach and to demonstrate its practicality and effectiveness.
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页码：60930 / 60955
页数：26
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