模糊粗糙集理论是一种处理不确定性信息的重要的数据挖掘方法。

Fuzzy rough set theory is an important method for data mining of uncertain data.

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模糊粗糙集理论是解决数据集维数问题的有效工具，但基于模糊粗糙集的降维算法还不多。

Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.

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该算法利用模糊粗糙集理论，依照图像的视觉特性，采用传统的图像增强方法进行图像预处理。

The algorithm makes use of fuzzy-rough sets theory to describe its uncertainty degree and carries through its pre-processing with traditional methods according to the image's visual property.

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