在覆盖粗糙集理论中,将其模型与经典粗糙集统一是一个非常重要的问题。在覆盖近似空间中通过定义论域上的基于覆盖的等价关系,将覆盖广义粗糙集转化为经典粗糙集,由此将经典粗糙集理论的应用范围拓展到基于覆盖的背景中。分析表明,该方法比已有的基于等域关系转化覆盖广义粗糙集为经典粗糙集更直观且易于理解。最后举例说明了该一般化方法还可以提高目标概念的近似精度。 In the coverage of rough set theory, the unification of its model with the classical rough set is a very important issue. In the coverage approximate space, the coverage of generalized rough sets is transformed into the classical rough sets by defining the cover-based equivalent relations on the universe of discourse, thus extending the application scope of the classical rough set theory to the coverage based background. The analysis shows that this method is more intuitive and easy to understand than the existing transformation based on isonal relations covering generalized rough sets as classical rough sets. Finally, an example is given to illustrate that this generalized method can also improve the approximate accuracy of the target concept.