Dependent Interval 2-Tuple Linguistic Aggregation Operators and Their Application to Multiple Attribute Group Decision Making

被引:49
作者
Liu, Hu-Chen [1 ,2 ]
Lin, Qing-Lian [3 ]
Wu, Jing [4 ]
机构
[1] Shanghai Univ, Sch Management, Shanghai 200444, Peoples R China
[2] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[3] Xiamen Univ, Sch Management, Xiamen 361005, Peoples R China
[4] Tongji Univ, Dept Publ Management, Shanghai 200092, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiple attribute group decision making (MAGDM); interval; 2-tuple; dependent interval 2-tuple weighted averaging (DITWA) operator; dependent interval 2-tuple weighted geometric (DITWG) operator; OWA OPERATORS; VIKOR METHOD; REPRESENTATION MODEL; MATERIAL SELECTION; ROBOT EVALUATION; INFORMATION; WEIGHTS; ENVIRONMENT;
D O I
10.1142/S0218488514500366
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Consider the various types of uncertain preference information provided by the decision makers and the importance of determining the associated weights for the aggregation operator, the multiple attribute group decision making (MAGDM) methods based on some dependent interval 2-tuple linguistic aggregation operators are proposed in this paper. Firstly some operational laws and possibility degree of interval 2-tuple linguistic variables are introduced. Then, we develop a dependent interval 2-tuple weighted averaging (DITWA) operator and a dependent interval 2-tuple weighted geometric (DITWG) operator, in which the associated weights only depend on the aggregated interval 2-tuple arguments and can relieve the influence of unfair arguments on the aggregated results by assigning low weights to them. Based on the DITWA and the DITWG operators, some approaches for multiple attribute group decision making with interval 2-tuple linguistic information are proposed. Finally, an illustrative example is given to demonstrate the practicality and effectiveness of the proposed approaches.
引用
收藏
页码:717 / 735
页数:19
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