Affiliations:
Department of Management Science and Engineering, School of Business, Central South University, Changsha, Hunan Province, P.R. China
Correspondence:
[*]
Corresponding author. Bing Wang, Department of Management Science and Engineering, Central South
University,Changsha, Hunan province 410083, P.R.China. Tel.: +86 13142098498; Fax: +86 731 88710006; E-mail: [email protected].
Abstract: A new method of solving large group decision-making problems with incomplete preference information is proposed in this paper. First, we introduce the trust viewpoint of access control, which belongs to the information technology field. Second, we establish subjective trust degree (i.e., direct trust degree) and objective trust degree (i.e., indirect trust degree) to better evaluate the level of trust and propose a compensation method based on a trust model to transfer the incomplete preference matrix into a complete preference matrix. Third, by adopting the method based on clustering to solve decision makers’ weights, a ranking of alternatives is obtained by synthesizing the weights and the complete preference matrix. To obtain a more reasonable clustering result, we redefine the distance similarity formula based on analysis of the previous problems, then combine it with cosine similarity to propose a double clustering model. Finally, a numerical example is used to demonstrate the effectiveness of the proposed method in this paper and comparison and analysis are conducted.
Keywords: Trust model, incomplete information, large group, group decision-making
