The 10th IEEE International Conference on Fuzzy Systems
The crux of this paper is to propose a new method for aggregating individual fuzzy opinions into an optimal group consensus. By optimality, we mean the sum of weighted dissimilarity among aggregated consensus and individual opinions is minimized. First, a new similarity measure for trapezoidal fuzzy numbers is proposed. Then, we propose an iterative algorithm for approximating the optimal consensus of expert opinions. Finally, the importance of each expert is taken into consideration in process of aggregation.