DECISION-MAKING WITH UNCERTAIN AGGREGATION OPERATORS USING THE DEMPSTER-SHAFER BELIEF STRUCTURE

被引:0
作者
Merigo, Jose M. [1 ]
Casanovas, Montserrat [1 ]
机构
[1] Univ Barcelona, Dept Business Adm, Barcelona 08034, Spain
来源
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2012年 / 8卷 / 02期
关键词
Decision-making; OWA operator; Dempster-Shafer theory of evidence; Interval numbers; GEOMETRIC OPERATORS; DISTANCE MEASURES; OWA OPERATOR; FUZZY; MCDM; INFORMATION; SELECTION;
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
We develop a new decision-making model using the Dempster-Shafer (D-S) belief structure when available information is uncertain and can be assessed with interval numbers. We use a wide range of aggregation operators involving interval numbers such as the uncertain weighted average (UWA), the uncertain ordered weighted average (UOWA), the uncertain generalized weighted average (UGWA) and the uncertain generalized ordered weighted average (UGOWA). We present a new approach to using interval weights in these uncertain aggregation operators. By using these aggregation operators within a D-S framework, we obtain various belief structures (BS), including the UWA (BS-UWA), the BS-UOWA, the BS-UGWA and the BS-UGOWA. We also use more complete formulations by using induced, hybrid and quasi-arithmetic aggregation operators. We end the paper by applying these operators to a decision-making problem regarding strategic management.
引用
收藏
页码:1037 / 1061
页数:25
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