An intuitionistic fuzzy multi-attribute group decision making method with incomplete weight information based on improved VIKOR

被引：7
|
作者：
Wang, Qifeng [1 ]
Sun, Haining [1 ]
Zhou, Liandong [1 ]
机构：
[1] Zhejiang Wanli Univ, Logist & E Commerce Coll, Ningbo, Zhejiang, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2019年 / 37卷 / 02期
关键词：
Improved VIKOR method; projection model; intuitionistic fuzzy number; decision making; linear programming model; COMPROMISE SOLUTION; SUPPLIER; SELECTION; EXTENSION; ENTROPY; TOPSIS; MODEL;
D O I：
10.3233/JIFS-179228
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With respect to the decision making problems where the information of the attribute weights is incomplete under the intuitionistic fuzzy environment, a decision making method based on the improved VIKOR is developed. Firstly considering the advantage of the intuitionistic fuzzy set in expressing the decision makers' preference information, the intuitionistic fuzzy evaluation matrices are established. In order to derive the attribute weights from the incomplete attribute information of weights, a linear programming model is proposed. Then the traditional VIKOR method is improved by replacing the distance measure with projection model. Finally an illustrative example is given to prove the practicality and effectiveness of the method proposed.
引用
收藏
页码：1639 / 1647
页数：9
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