Fuzzy Opinion Aggregation in Group Decision Making Environment

The purpose of this paper is to develop a method for aggregating experts' fuzzy estimates into a group consensus under group decision environment. Fuzzy numbers are used to represent experts' estimates, and a distance about fuzzy number space is applied to measure the near degree of fuzzy estimates. By minimizing the sum of squared distance from every fuzzy estimate to group consensus, the aggregation weights are derived, and individual estimates are aggregated into group consensus.