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研究在不完全信息、多指标条件下,利用个体决策结果形成群体一致偏好的方法.在大多数情况下,群体决策成员只可能给出决策的不完全信息,从个体的偏好结果形成群体一致排序需要求解一组线性规划.群体成员对方案成对辨优的结果,提供了一个方案优于其它方案的偏好强度信息.偏好集结过程考虑了决策成员的偏好净强度和决策成员权重信息不完全的情况.最后,给出一个投资决策的案例说明群体决策方法的实际应用.该集结方法能够平衡决策时间、决策质量和决策者负担三方面要求.
In the incomplete information and multi-index conditions, the method of using the individual decision-making results to form the group consensus preference is studied.In most cases, the group decision-making members can only give the incomplete information of the decision-making and form the group consistent ordering from the individual preference results We need to solve a set of linear programming.The result of pairwise pairing optimization by group members provides a preference information of preference over other alternatives.The preference aggregation process considers the net strength of preference of decision members and the incompleteness of decision members’ weight information Finally, a case of investment decision is given to illustrate the practical application of group decision-making method, which can balance the decision-making time, decision-making quality and decision maker’s burden.