Fast Aggregated Model for Multi-Stage Group Decision-Making Problem Based on Preference Distance Method

Based on horizontal and vertical information of decision, this paper firstly aggregates decision-makers´ judgment in single stage to gain in-stage decision-makers´ preference and weight, and to compute the preference of groups. Secondly, satisfied preference and stage weight of decision-makers between stages are calculated out according to preference distance model. Finally, the optimized judgment matrix and weight of decision-makers are computed by preference distance algorithm to gain the most optimized group´s preference. Numerical example has proved that it is very effective to aggregate multi-stage group decision-making preference by preference distance method.