基于粗糙集的边界分类算法

Bound Region Classification Method Based on Rough Sets

粗糙集作为数据挖掘工具,主要通过分类数据得到预测型知识,但分类规则过于严格,使得在挖掘带噪音的数据时,挖掘结果可能会损失一些有价值的规则.提出一种带不确定因子的信息系统及相应的分类方法,改进了传统粗糙集的分类方法.

Rough sets theory is a new mathematical approach to data mining,which is mainly used for association rule by classification.But its object classification is strict excessively and too sensitive on noise.The result may lose some worthy rules.An information system UIS with uncertain factors and a corresponding classification method are presented to improve the classification method based on the traditional rough sets.