Article ID: | iaor20115278 |
Volume: | 61 |
Issue: | 1 |
Start Page Number: | 48 |
End Page Number: | 54 |
Publication Date: | Aug 2011 |
Journal: | Computers & Industrial Engineering |
Authors: | Xu Yingjun |
Keywords: | fuzzy sets |
In this paper, a new approach is proposed to solve group decision making (GDM) problems where the preference information on alternatives provided by decision makers (DMs) is represented in four formats of incomplete preference relations, i.e., incomplete multiplicative preference relations, incomplete fuzzy preference relations, incomplete additive linguistic preference relations, incomplete multiplicative linguistic preference relations. In order to make the collective opinion close each decision maker’s opinion as near as possible, an optimization model is constructed to integrate the four different formats of incomplete preference relations and to compute the collective ranking values of the alternatives. The ranking of alternatives or selection of the most desirable alternative(s) is directly obtained from the derived collective ranking values. A numerical example is also used to illustrate the applicability of the proposed approach.