Neighborhood systems based rough sets in interval-valuedinformation system
区间值信息系统中基于邻域系统的粗糙集模型

Pawlak's rough set theory offers a formal theoretical framework to deal with categorical data, but this model is not applicable to interval data which widely exist in real world applications. By using grey lattice operation and Hausdorff distance, this paper provided a new neighborhood relationship in an interval-valued information system. Furthermore, it proposed three forms of rough set models based on neighborhood relationship, maximal consistent blocks and neighborhood system, which was to improve the accuracy of approximations. Moreover, it employed three numerical examples to substantiate the conceptual arguments.