A Multi-attribute Group Decision-making Approach Based on Uncertain Linguistic Information

被引：0
|
作者：
Gong Jun [1 ]
Hu Tao [1 ]
Yu Ting [2 ]
Zhu Hong-wei [2 ]
机构：
[1] Navy Univ Engn, Dept Management Engn & Equipment Econ, Wuhan 430033, Peoples R China
[2] 91709 Unit PLA, Hunchun 133300, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
Group decision-making; 2-tuple linguistic; Uncertain linguistic information; Possibility degree;
D O I：
10.1109/ccdc.2019.8832831
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the multi-attribute group decision-making based on uncertain linguistic information, interval 2-tuple weighted average aggregation (ITWAA) operator and uncertain linguistic averaging (ULA) operator are employed for the computation of integrated uncertain linguistic information from decision-makers in terms of evaluation attributes. Dominance likelihood matrix is constructed for each attribute according to the definition of likelihood, so as to determine the weight of each attribute. The uncertain 2-tuple ordered weighted average (UTOWA) operator is used to calculate the value of each alternative for ranking. The feasibility and effectiveness of this approach is illustrated in a case study.
引用
收藏
页码：4125 / 4128
页数：4
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