Models for selecting an ERP system with intuitionistic trapezoidal fuzzy information

被引：3

作者：

Wei G. ^{[1
]}

Lin R. ^{[1
]}

机构：

[1] Department of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, Chongqing

来源：

Journal of Software | 2010年 / 5卷 / 03期

关键词：

Attribute weight; Intuitionistic trapezoidal fuzzy numbers; Intuitionistic trapezoidal fuzzy weighted geometric mean (ITFWGM) operator; Multiple attribute decision making; Operational laws;

D O I：

10.4304/jsw.5.3.275-279

中图分类号：

学科分类号：

摘要：

To solve multiple attribute decision making problems with intuitionistic trapezoidal fuzzy information, two optimization models based on the maximizing deviation method, by which the attribute weights can be determined, is established. We utilize the intuitionistic trapezoidal fuzzy weighted geometric mean (ITFWGM) operator to aggregate the intuitionistic trapezoidal fuzzy information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s) according to the distance between the overall value of the alternatives and ideal solution. Finally, an illustrative example about selecting an ERP system is given. © 2010 ACADEMY PUBLISHER.

引用

页码：275 / 279

页数：4

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