New approach in obtaining OWA weights for multi criteria decision making

被引：0

作者：

Zarghami, Mahdi ^{[1
]}

Szidarovszky, Ferenc ^{[2
]}

机构：

[1] Univ Tabriz, Fac Civil Engn, Tabriz 51664, Iran

[2] Univ Arizona, Syst & Ind Engn Dept, Tucson, AZ 85721 USA

来源：

COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷

关键词：

D O I：

10.1142/9789812799470_0082

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper will introduce a new method to obtain the order weights of the Ordered Weighted Averaging (OWA) operator for multi criteria decision making. We will first show the relation between using fuzzy quantifiers and neat OWA operators and then offer a new combination of them. Fuzzy quantifiers are applied for soft computing in modeling the optimism degree of the decision maker. In addition by using neat operators, the ordering of the inputs is not needed resulting in better computation efficiency.

引用

页码：501 / 506

页数：6

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