摘要
该文讨论了基于分明矩阵和近似度的属性约简算法之间的关系。在更为充分的挖掘分明矩阵的信息的条件下,提出一种新的基于分明矩阵的属性约简算法,对某些数据库可以取得更好的效果。
The relationship between the attribute reduction algorithms based on discernibility matrix and proximity quali-ty respectively is studied in this paper.A new attribute reduction algorithm based on discernibility matrix is introduced in this paper,which can get better result for some decision table than the algorithm introduced in.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第14期184-186,共3页
Computer Engineering and Applications
基金
国家自然科学基金项目(编号:60273043)
关键词
粗糙集合
分明矩阵
近似度
属性约简
rough set theory,discernibility matrix,proximity quality,attribute reduction
