【摘要】 提出了一种新的粗糙近似算子,根据概率粗糙集模型中参数的特点,利用事件中的对立事件(或补事件),结合概率测度,从条件参数不等式的另一个侧面,重新定义了粗糙集中的上近似和下近似,并说明由此得到的粗糙集模型是Pawlak粗糙集模型的推广形式.通过对其对偶性质的讨论,进一步完善了概率粗糙集模型.更多还原

【Abstract】 A new kind of rough approximation operators are defined in this paper.Based on probability rough set model,another rough set model is proposed according to the opposite of a matter and the parameters in the conditions.Then,the upper approximation and the lower approximation are renewed to define.It has been proved that this model is a generalization of Pawlak rough set model.In the end,some properties of this model are discussed.Thus,probability rough set model is further improved.更多还原