不完备信息系统中集对粗糙集模型

Rough set model based on set pair analysis in incomplete information system

粗糙集理论在数据挖掘中的成功应用已成为近来人工智能领域研究的热点,人们将经典粗糙集中的等价关系放宽后使粗糙集理论的运用更加广泛,但在不完备信息系统中的运用仍受到限制。在已有的集对粗糙集模型的基础上,提出了针对不完备系统更加有效的集对粗糙集模型,通过实例说明了这种模型的可行性和有效性,使粗糙集模型在一定程度上得到了推广。

Rough set theory has become a focus subject because of its successful applications to data mining. Equivalent relation in the classical rough set was relaxed to the application of the rough set theory widely, but it is restricted in incomplete systems. In this paper, we put the more effective rough set model based on set pair analysis of the existing model. Through a case study, it is verified that the model is more feasible and effective, and rough set theory is extended in some way.