This paper introduces the lower and upper approximations operator of rough sets and fuzzy sets.
本文介绍了粗糙集和模糊粗糙集的上下近似。
According to the lower and upper approximations, decision rules can be divided into certain and possible rules.
根据粗糙集上下近似的概念，决策规则能够分成确定性规则和可能性规则两种。
It is proved that with the accumulation of more available information, the lower and upper approximations will provide a more refine description of the concept.
证明了随着可利用信息的不断增加，上下近似对概念的描述也更精确。
Based on the inclusion relation of upper approximations and lower approximations of rough set, a new definition of upper approximations and lower approximations can be obtained.
根据粗糙集上下近似的包含关系，得到概念的一种新的上下近似的运算的定义。
Based on the inclusion relation of upper approximations and lower approximations of rough set, a new definition of upper approximations and lower approximations can be obtained.
根据粗糙集上下近似的包含关系，得到概念的一种新的上下近似的运算的定义。
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