A new method for huge group decision-making
Rong Liu, Xiaohong Chen · 2007
With the appearance of the issue of huge group decision-making and the status quo that group-aggregation decision is only effective for small-scale groups, this paper firstly designs an improved minimum fuzzy C-means (MFCM) based on minimum connected dominating set algorithm (MCDSA), and then, through defining the group-preference vector, group-consensus index and group decision value, the paper puts forward a new method to deal with huge group aggregation by making use of MFCM. As is shown by simulations and control analysis, the new method could effectively resolve the problem of making decisions for a group with a membership of over 600 .