Journal of Systems Engineering and Electronics ›› 2011, Vol. 22 ›› Issue (3): 468-472.doi: 10.3969/j.issn.1004-4132.2011.03.015

• SYSTEMS ENGINEERING • Previous Articles     Next Articles

Group decision-making method based on entropy and experts cluster analysis

Xuan Zhou*, Fengming Zhang, Xiaobin Hui, and Kewu Li   

  1. Engineering College, Air Force Engineering University, Xi’an 710038, P. R. China
  • Online:2011-06-22 Published:2010-01-03

Abstract:

According to the aggregation method of experts' evaluation information in group decision-making, the existing methods of determining experts' weights based on cluster analysis take into account the expert's preferences and the consistency of expert's collating vectors, but they lack of the measure of information similarity. So it may occur that although the collating vector is similar to the group consensus, information uncertainty is great of a certain expert. However, it is clustered to a larger group and given a high weight. For this, a new aggregation method based on entropy and cluster analysis in group decision-making process is provided, in which the collating vectors are classified with information similarity coefficient, and the experts' weights are determined according to the result of classification, the entropy of collating vectors and the judgment matrix consistency. Finally, a numerical example shows that the method is feasible and effective.