Multi-attribute group decision making method under 2-dimension uncertain linguistic variables

被引：4
|
作者：
Jiang Kexin [1 ]
Zhang Quan [1 ]
Yan Manting [1 ]
机构：
[1] Shenyang Univ Technol, Sch Informat Sci & Engn, Shenyang 110870, Peoples R China
来源：
JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2020年 / 31卷 / 06期
关键词：
2-dimension uncertain linguistic variables (2DULVs); multi-attribute group decision making problem; score function; distance formula; HYBRID AGGREGATION OPERATORS; SUPPLIER SELECTION; INFORMATION; FRAMEWORK; MODEL;
D O I：
10.23919/JSEE.2020.000096
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method is proposed to deal with the uncertain multiple attribute group decision making problems, where 2-dimension uncertain linguistic variables (2DULVs) are used as the reliable way for the experts to express their fuzzy subjective evaluation information. Firstly, in order to measure the 2DULVs more accurately, a new method is proposed to compare two 2DULVs, called a score function, while a new function is defined to measure the distance between two 2DULVs. Secondly, two optimization models are established to determine the weight of experts and attributes based on the new distance formula and a weighted average operator is used to determine the comprehensive evaluation value of each alternative. Then, a score function is used to determine the ranking of the alternatives. Finally, the effectiveness of the proposed method is proved by an illustrated example.
引用
收藏
页码：1254 / 1261
页数：8
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