Abstract:

Aiming at the different preference expressing in the evaluation process, a twophase aggregation method about group decisionmaking is proposed: personal preference conversion and multiple experts’ attributing. The step of personal preference conversion aims to convert various experts’ different preferences in different forms, such as fuzzy preference relations, utility function, partial selection, preference ordering, and linguistic preference relations to normalized numerical absolute preferences. And in the expressions of the expert weight of relative preferences, the fuzzy ordered weighted averaging (OWA) operator and the linguistic ordered weighted averaging (LOWA) operator are adopted. Multiple experts’ attributing is arranged by the expert weight of arithmetic progression, and then the weight is dealt to normalization. According to the total score of the objects, the best one which has the highest score is chosen, therefore the democratic choice of the expert groups is gotten. Finally, apply the two step method into an example about a talents’ selecting in a company. Compared with the previous methods in selection, the proposed method highlights the decision under the free, democratic preference.