A method for intuitionistic fuzzy multiple attribute decision making and its Application to partners selection for Virtual Enterprises

被引：0

作者：

Li Z. ^{[1
]}

Wang F. ^{[2
]}

机构：

[1] School of Economics and Management, Beihang University

[2] School of Mechanical Engineering, Inner Mongolia University of Technology

来源：

Journal of Convergence Information Technology | 2011年 / 6卷 / 05期

关键词：

Entropy; Intuitionistic fuzzy number; Intuitionistic fuzzy weighted averaging (IFWA) operator; Multiple attribute decision making; Partner selection;

D O I：

10.4156/jcit.vol6.issue5.33

中图分类号：

学科分类号：

摘要：

With respect to partners selection for virtual enterprises with intuitionistic fuzzy and completely unknown weight information, some operational laws of intuitionistic fuzzy numbers, score function and accuracy function of intuitionistic fuzzy numbers are introduced. To determine the attribute weights, a model based on the information entropy, by which the attribute weights can be determined, is established. We utilize the intuitionistic fuzzy weighted averaging (IFWA) operator to aggregate the intuitionistic fuzzy information corresponding to each partner, and then rank the partners and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

引用

页码：291 / 297

页数：6

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