广义概率粗糙集模型中近似算子的研究

Research on Approximation Operator in Generalized Probabilistic

针对经典概率粗糙集模型的不足,将其论域推广到两个具有相容关系的论域上,借助集值映射分别定义了两种形式的广义概率(I)型和广义概率(II)型粗糙集近似算子,并讨论了相应的数学性质.最后,详细地分析了它们之间的关系.

Tn view of the deficiency of classic probabilistic rough set model, we introduce the probabilistic rough set model over two universes which exist a compatible relation,two kind of approximation operator based on the multi-valued mapping were defined,which is called Generalized Probabilistic（I） and Generalized Probabilistic（Ⅱ）, the mathematic properties were discussed. The two kind of upper approximation and lower approximation were compared in detail.