A geometric approach for ranking interval-valued intuitionistic fuzzy numbers with an application to group decision-making

被引：44
|
作者：
Yue, Chuan [1 ]
机构：
[1] Guangdong Ocean Univ, Coll Math & Comp Sci, Zhanjiang 524088, Peoples R China
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2016年 / 102卷
关键词：
Interval-valued intuitionistic fuzzy numbers comparison; Two-dimensional geometric interpretation; Group decision-making; TOPSIS technique; TOPSIS METHOD; AGGREGATION OPERATORS; ACCURACY FUNCTION; SETS; SIMILARITY; MODEL; INFORMATION; EXTENSION; WEIGHTS; EXPERT;
D O I：
10.1016/j.cie.2016.10.027
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The ranking of interval-valued intuitionistic fuzzy numbers (IVIFNs) is very important for fuzzy decision making problems. This paper presents a geometric approach for ranking IVIFNs. Based on the technique for order performance by similarity to an ideal solution, this method is applied to group decision-making in an intuitionistic fuzzy environment. First, all individual decisions with IVIFNs are aggregated into a collective decision. Next, the ideal solutions of collective decision are established. Then the alternatives are ranked based on the geometric method presented in this paper. The practicability, feasibility and effectiveness of the proposed method is illustrated by an experimental analysis. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：233 / 245
页数：13
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