Group Decision-Making Model Based on Rough Set and Evidence Theory

In this paper, rough set and evidence theory are applied to the research on the evaluation of group decision making. Focal element increases rapidly while applying the evidence theory. A feature reduction algorithm based on rough set is used when classification result is almost invariable. On one hand, in order to reduce the interdependence between evidences, we adopt a little attributes to evaluation decision-making problem. On the other hand, in order to prevent focal element increasing rapidly, we draw the weight of every attribute from the decision form and prevent subjectivity points of the experts. Finally, an example is presented to pove prove that the proposed method is feasible.