An improved multiattribute decision making method based on new score function of interval-valued intuitionistic fuzzy values and linear programming methodology

被引：48
|
作者：
Wang, Cheng-Yi [1 ]
Chen, Shyi-Ming [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
INFORMATION SCIENCES | 2017年 / 411卷
关键词：
Interval-valued intuitionistic fuzzy sets; Interval-valued intuitionistic fuzzy values; Linear programming methodology; Multiple attribute decision making; Score function; ACCURACY FUNCTION; SETS;
D O I：
10.1016/j.ins.2017.05.022
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 this paper, we propose an improved multiple attribute decision making (MADM) method based on the proposed new score function S-WC of interval-valued intuitionistic fuzzy values (IVIFVs) and the linear programming (LP) methodology to overcome the drawback of Chen and Huang's method (2017) for MADM interval-valued intuitionistic fuzzy (IVIF) environments, where Chen and Huang's method has the drawback that it cannot distinguish the preference order of alternatives in some situations. (C) 2017 Elsevier Inc. All rights reserved.
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页码：176 / 184
页数：9
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