Some New q-Rung Orthopair Fuzzy Point - Choquet Integral Aggregation Operators and Their Application to Supplier Selection

被引：0
|
作者：
Xing, Yuping [1 ]
Zhang, Runtong [1 ]
Sun, Yanjun [2 ]
机构：
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing Logist Informat Res Base, Beijing, Peoples R China
[2] Shanghai Univ Finance & Econ, Sch Mech Elect, Shanghai, Peoples R China
来源：
PROCEEDINGS OF 2018 IEEE 17TH INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS & COGNITIVE COMPUTING (ICCI*CC 2018) | 2018年
关键词：
q-rung orthopair fuzzy set; q-rung orthopair fuzzy point operators; q-ROFGPCA; FUNDAMENTAL PROPERTIES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Point operators can control the certainty of aggregated arguments and get more intensive information in the process of decision making, and Choquet integral operator can consider correlations among arguments. In order to take full advantages of these two kinds of operators, in this paper, we define some point operators in q-rung orthopair fuzzy environment, and further combine the point operators with Choquet integral operator to propose some generalized q-rung orthopair fuzzy point-Choquet integral averaging operators (q-ROFGPCA). Moreover, a novel approach based on q-ROFGPCA operators for multi-attribute decision making in q-rung orthopair fuzzy context is introduced. Finally, a practical example is provided to show the validity of the new approach.
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页码：343 / 350
页数：8
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