Dynamic multi-attribute decision making model based on triangular intuitionistic fuzzy numbers

被引：88
|
作者：
Chen, Y. [1 ,3 ]
Li, B. [2 ,3 ]
机构：
[1] Shandong Univ, Sch Mech & Elect Engn, Weihai 264209, Peoples R China
[2] Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
[3] State Key Lab Robot & Syst HIT, Harbin 150001, Peoples R China
来源：
SCIENTIA IRANICA | 2011年 / 18卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Dynamic multi-attribute decision making method; Triangular intuitionistic fuzzy numbers; Entropy; Intuitionistic fuzzy sets; METHODOLOGY; SETS;
D O I：
10.1016/j.scient.2011.03.022
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Triangular Intuitionistic Fuzzy Numbers (TIFNs) express more abundant and flexible information than Triangular Fuzzy Numbers (TFNs). The main purpose of this paper is to propose a Dynamic Multi-Attribute Decision Making (DMADM) model on the basis of TIFNs, to solve the DMADM problem, where all the decision information takes the form of TIFNs. A new distance measure between two TIFNs is developed to aid in determining attribute weights, using the entropy method. An aggregation operator, the weighted arithmetic averaging operator on TIFNs (TIFN-WAA), is presented to aggregate the decision information with TIFNs. Finally, the effectiveness and applicability of the proposed DMADM model, as well as analysis of comparison with another model, are illustrated with an investment example. (C) 2011 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
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页码：268 / 274
页数：7
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