Track: Decision Sciences
Abstract
We propose a new method for group decision making by using trapezoidal fuzzy numbers to describe decisions. Optimality is achieved by minimizing the sum of weighed incoherencies between individual opinions and the consensus. When the experts’ opinions are not equally important, the method is adapted to the heterogeneous situation. In order to promote coherence or hierarchical weights, a parametrization is proposed.