Research on large scale group-decision approach based on grey cluster

The decision-making approach based on multiple uncertainty preference in a large scale group decision making case was studied. The uniform weight model was suggested in order to transfer the different judgment information into the same preference style. Then, the larger scale group was clustered to some little scale groups with the approximately opinion to obtain the consistency opinion of the group. In addition, the opinion of the little scale group was obtained via the weight trial calculation of the decision maker in the cluster group. Following that, the approach of finding the core decision maker in the little scale group was suggested. In the last, the large scale group opinion was obtained via the aggregating cluster groups based on the weight trial calculation of the little scale group.