The rough sets reduction model is established by integrating rough sets theory with ID3 algorithm based on statistics, uncertainty fuzzy data set information can be processed with the model.
把粗糙集理论与基于概率统计ID3算法结合建立粗糙集约简模型，可处理不精确和模糊数据集信息。
To find a high performance reduction algorithm is a focus point in the research on rough sets, but there doesn't exist an efficient method so far.
寻求一种高效的属性约简算法仍然是粗糙集的研究热点之一，现尚不存在一种非常有效的约简算法。
Attribute reduction of rough sets is an NP hard problem, but there is not a popular efficient algorithm presently.
粗糙集的属性约简是一个NP难的问题，但没有一个目前流行的有效的算法。
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