Multiattribute decision making based on interval-valued intuitionistic fuzzy values and linear programming methodology

被引：64

作者：

Chen, Shyi-Ming ^{[1
]}

Huang, Zhi-Cheng ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan

来源：

INFORMATION SCIENCES | 2017年 / 381卷

关键词：

Intuitionistic fuzzy sets; Interval-valued intuitionistic fuzzy sets; Interval-valued intuitionistic fuzzy values; Linear programming methodology; Multiattribute decision making; SETS;

D O I：

10.1016/j.ins.2016.11.010

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, some multiattribute decision making (MADM) methods have been presented based on interval-valued intuitionistic fuzzy sets (IVIFSs). In this paper, we propose a new MADM method based on interval-valued intuitionistic fuzzy values (IVIFVs) and the linear programming methodology, where the weights of attributes and the evaluating values of attributes of the alternatives given by the decision maker are represented by IVIFVs. The linear programming methodology is used to obtain the optimal weights of the attributes. The proposed method has the advantage that it can overcome the drawbacks of the existing MADM methods for MADM in interval-valued intuitionistic fuzzy environments. The proposed method provides us with a very useful way for MADM in interval valued intuitionistic fuzzy environments. (C) 2016 Elsevier Inc. All rights reserved.

引用

页码：341 / 351

页数：11

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