A Fusion Based Approach for Group Decision Making Based on Different Uncertain Preference Relations

Many decision making problems such as personnel promotion and investment selection in organizations are often dealt by multiple experts in uncertain situation. The aim of this paper is to develop an approach to solve group decision making problems where the preference information provided by experts is in the form of interval multiplicative preference relations, interval fuzzy preference relations and interval linguistic preference relations. Firstly, taking interval linguistic preference relation as base representation element, non-homogenous information is unified by transformation functions. Then, an optimization model is established to obtain the maximum consensus level among the group by searching the weights of the experts. Next, the aggregation process and the selection process are carried out to find the best alternative(s). The entire procedure of the proposed approach is given. Finally, an example of the manager selection for a company is provided to show the effectiveness of the proposed approach.

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