基于多Agent偏好的决策信息融合

Decision Fusion Based on Multi-agent Preference

针对多Agent系统的群决策问题,本文提出了一种利用多Agent群体偏好进行决策融合的方法,使用群决策方法生成多Agent群体偏好,然后根据模糊排序策略进行决策信息的融合,群决策方法与模糊排序这两种方法的混合运用有效地降低了决策时间,提高了决策的精度。经过实验模拟,证明了这种方法的简单性和有效性。

The paper proposes one model of decision fusion based on multi-agent preference in group decision making. It applies integer programming method in group preference making and fused group consensus in decision making. The model composed of the two methods decreases the decision time and increases the veracity. The results of the experience indicate the model is simple and feasible.