Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets

被引：152

作者：

Li, Deng-Feng ^{[1
]}

机构：

[1] Fuzhou Univ, Sch Management, Fuzhou 350108, Fujian, Peoples R China

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2010年 / 37卷 / 12期

关键词：

Multiattribute decision making; Uncertainty; Generalized ordered weighted averaging operators (GOWA); Intuitionistic fuzzy set; Fuzzy set; SIMILARITY MEASURES;

D O I：

10.1016/j.eswa.2010.06.062

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The intuitionistic fuzzy (IF) set characterized by two functions was a generalization of the fuzzy set. In this paper, we investigate multiattribute decision making (MADM) problems with ratings of alternatives being expressed using IF sets and attribute weights given as real numbers. Firstly, the generalized ordered weighted averaging (GOWA) operators introduced by Yager [Yager, R. (2004). Generalized OWA aggregation operators. Fuzzy Optimization and Decision Making, 3, 93-107] are extended to aggregate IF sets. Secondly, MADM problems with IF sets are formulated through transforming the ratings of alternatives on both qualitative and quantitative attributes into IF sets in a unified way. The method and procedure based on the extended GOWA operators are developed to solve the MADM problems with IF sets. Finally, the effectiveness and practicability of the proposed method are illustrated with a numerical example. (C) 2010 Elsevier Ltd. All rights reserved.

引用

页码：8673 / 8678

页数：6

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