摘要
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.
出处
《内蒙古大学学报（自然科学版）》
CAS
CSCD
北大核心
2009年第6期728-733,共6页
Journal of Inner Mongolia University：Natural Science Edition
基金
内蒙古自治区高等学校科学研究项目(NJ09152)
关键词
粗糙集
UIS
分类
rough set
UIS
classification
