针对超对策环境中不同专家给出的对其他局中人结局偏好关系的不同认知,在专家权重为模糊评价时提出了一种偏好认知信息的集结方法。首先,给出了专家模糊权重评价相容的定义,讨论了相容的充分必要条件。然后,通过给出一个与模糊权重相对应的有效权重,集结专家群体对其他局中人结局偏好关系的认知,进而引用大多数一致性优胜者模糊集来确定其他局中人的结局偏好。最后,给出了一个数值例子。
With respect to opponent players' different outcome preference relations perceived by different experts with fuzzy weight assessment in hypergame situations, a novel method for integrating preference perception is presented. Firstly, the consistency of fuzzy weight assessment is defined, and some properties of consistency are discussed. Then, by giving an effective expert weight corresponding to fuzzy weight assessment, the group perception for opponent players' preference relation is aggregated. The concept of most consensus winners is introduced to decide the aggregated outcome preference vectors. A numerical example is provided at the end to illustrate the proposed method.