GROUP DECISION-MAKING WITH GENERALIZED AND PROBABILISTIC AGGREGATION OPERATORS

被引：0

作者：

Merigo, Jose M. ^{[1
]}

Casanovas, Montserrat ^{[1
]}

Engemann, Kurt J. ^{[2
]}

机构：

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

[2] Iona Coll, Hagan Sch Business, New Rochelle, NY 10801 USA

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2012年 / 8卷 / 7A期

关键词：

Decision-making; OWA operator; Probability; Aggregation operators; INTUITIONISTIC FUZZY INFORMATION; DISTANCE MEASURES; OWA OPERATOR; INCLUSION; VARIANCE; ATTITUDE;

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：

The aim of this paper is to introduce a unified model between the generalized ordered weighted averaging (GOWA) operator and the generalized probabilistic aggregation. We present the generalized probabilistic OWA (GPOWA) operator. It is a new aggregation operator that unifies the probability with the OWA operator considering the degree of importance that each concept has in the analysis. It includes a wide range of particular cases including the GOWA operator and the probabilistic OWA (POWA) operator. We also study the applicability of this new approach and we see that it is very broad because all the previous studies that use the probability or the OWA operator can be revised with this new approach. We develop an application in multi-person decision making concerning the selection of the optimal strategies.

引用

页码：4823 / 4835

页数：13

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