AN APPROACH TO INFORMATION FUSION AND GROUP DEECISION MAKING BASED ON CHOQUET INTEGRAL OPERATORS FOR INTERVAL-VALUED INTUITIONISTIC FUZZY DATA

被引：0
|
作者：
Hai, Bo [1 ]
Yao, Hailong [1 ]
机构：
[1] Lanzhou City Univ, Sch Elect & Informat Engn, Lanzhou 730070, Peoples R China
来源：
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1 | 2018年
关键词：
Information fusion; Interval valued intuitionistic fuzzy numbers; Choquet integral operator;
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：
In this study, we defined two generalized induced continuous Choquet integral operators for interval-valued intuitionistic fuzzy number as the induced continuous Choquet geometric mean (IIVIFCCGM) operator and the induced continuous Choquet weighted averaging (IIVIFCCWA) operator. Meanwhile, genetic algorithm is used to determine fuzzy measures from the interval-valued intuitionistic fuzzy data by induced interval valued intuitionistic fuzzy continuous Choquet integral operators, and the models for the optimal fuzzy measures on expect sets and on criteria sets and decision making method are established, respectively. Finally, a numerical example is given.
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页码：109 / 114
页数：6
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