粗集理论及基于集合论的学习方法

Rough Set Theory and Learning Method Based on Set Theory

运用了粗集理论的基本原理 ,对不精确、不完整、不确定的数据进行上近似和下近似的计算和分类 ,对数据进行简约 ,寻找其隐含的关系和模式 ,产生规则 ,确定规则的可信度 ,并通过举例加以说明。

Based on the principle of rough set theory, calculation of upper and lower approximation and categorization were performed on inaccurate, insufficient and indefinite data. Data reduction was carried out and implied relation and mode between data were figured out. Thus relative rule were set up and its credibility was established which can be illustrated by examples.