期刊
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
卷 47, 期 2, 页码 389-405出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2015.1074761
关键词
incomplete weight information; 2-tuple linguistic label; consensus reaching; multiple attribute group decision making
类别
资金
- National Natural Science Foundation of China (NSFC) [71101043, 71471056, 71433003]
- Fundamental Research Funds for the Central Universities [2014B09214]
- Program for Excellent Talents in Hohai University and State Scholarship Fund [201406715021]
The aim of this paper is to put forward a consensus reaching method for multi-attribute group decision-making (MAGDM) problems with linguistic information, in which the weight information of experts and attributes is unknown. First, some basic concepts and operational laws of 2-tuple linguistic label are introduced. Then, a grey relational analysis method and a maximising deviation method are proposed to calculate the incomplete weight information of experts and attributes respectively. To eliminate the conflict in the group, a weight-updating model is employed to derive the weights of experts based on their contribution to the consensus reaching process. After conflict elimination, the final group preference can be obtained which will give the ranking of the alternatives. The model can effectively avoid information distortion which is occurred regularly in the linguistic information processing. Finally, an illustrative example is given to illustrate the application of the proposed method and comparative analysis with the existing methods are offered to show the advantages of the proposed method.
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