The Rough Set Theory can handle such problems as data reduction, data mining, the evaluation of attribute importance, the formation of decision algorithm etc.
利用粗集理论处理的主要问题包括：数据简化、数据相关性的发现、数据意义的评估、由数据产生决策算法等。
Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.
最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简，以生成图像分割算法选取的决策规则。
This paper gives the judgement theorems of consistent set and characters of attributes in consistent decision formal context and provides an algorithm to explore the reduction.
该文在协调决策形式背景下给出了协调集及属性特征的判定定理，并在此基础上得到了一种求属性约简的方法。
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