摘要
基于S-粗集,给出了在知识发现中由数据变化获取新知识的方法.应用S-粗集的迁移运算,给出了属性增加时知识的粗糙度减少的结论.
In this paper, an acquiring knowledge method in knowledge discovery is presented for the data change based on s-rough set. By using the s-rough set, we come to the conclusion that roughness measure reduces with the adding of attribute.
出处
《天中学刊》
2005年第5期5-7,共3页
Journal of Tianzhong
基金
海南省教育厅高校科研资助项目(HJKJ200231)
关键词
S-粗集
知识发现
迁移
粗糙度
s-rough set
knowledge discovery
transfer, roughness measure
