Fuzzy decision making in complex frameworks with generalized aggregation operators

被引：23

作者：

Merigo, Jose M. ^{[1
,2
,3
]}

Gil-Lafuente, Anna M. ^{[4
]}

Yu, Dejian ^{[5
]}

Llopis-Albert, Carlos ^{[6
]}

机构：

[1] Univ Manchester, Manchester Business Sch, Booth St West, Manchester M15 6PB, Lancs, England

[2] Univ Chile, Sch Business & Econ, Dept Management Control & Informat Syst, Av Diagonal Paraguay 257, Santiago 8330015, Chile

[3] King Saud Univ, Riyadh, Saudi Arabia

[4] Univ Barcelona, Dept Business Adm, Av Diagonal 690, Barcelona 08034, Spain

[5] Nanjing Audit Univ, Sch Govt Audit, Nanjing 211815, Jiangsu, Peoples R China

[6] Univ Politecn Valencia, DIMM, Camino Vera S-N, E-46022 Valencia, Spain

来源：

APPLIED SOFT COMPUTING | 2018年 / 68卷

关键词：

OWA operator; Fuzzy numbers; Aggregation operators; Group decision-making; RISK;

D O I：

10.1016/j.asoc.2018.04.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents a new aggregation system applied to fuzzy decision making. The fuzzy generalized unified aggregation operator (FGUAO) is a system that integrates many operators by adding a new aggregation process that considers the relevance that each operator has in the analysis. It also deals with an uncertain environment where the information is studied with fuzzy numbers. A wide range of particular cases and properties are studied. This approach is further extended by using quasi-arithmetic means. The paper ends studying the applicability in decision making problems regarding the European Union decisions. For doing so, the work uses a multi-person aggregation process obtaining the multi-person - FGUAO operator. An example concerning the fixation of the interest rate by the European Central Bank is presented. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：314 / 321

页数：8

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