Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure

被引：43

作者：

Casanovas, Montserrat ^{[1
]}

Merigo, Jose M. ^{[1
]}

机构：

[1] Univ Barcelona, Dept Business Adm, Barcelona 08034, Spain

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 08期

关键词：

Decision making; Uncertainty; Dempster-Shafer theory; Fuzzy numbers; Fuzzy OWA operator; Investment selection; DISTANCE MEASURES; OWA OPERATOR;

D O I：

10.1016/j.eswa.2012.01.030

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We study the decision-making problem with Dempster-Shafer theory of evidence. We analyze how to deal with this model when the available information is uncertain and it can be represented with fuzzy numbers. We use different types of aggregation operators that aggregate fuzzy numbers such as the fuzzy weighted average (FWA), the fuzzy ordered weighted averaging (FOWA) operator and the fuzzy hybrid averaging (FHA) operator. As a result, we get the belief structure fuzzy weighted average (BS-FWA), the belief structure fuzzy ordered weighted averaging (BS-FOWA) operator and the belief structure fuzzy hybrid averaging (BS-FHA) operator. We further generalize this new approach by using generalized and quasi-arithmetic means. We also develop an illustrative example regarding the selection of investments where we can see the different results obtained by using different types of fuzzy aggregation operators. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：7138 / 7149

页数：12

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