摘要
以现有的两个粗糙集属性约简算法为基础,提出了一种基于属性频率函数的粗糙集(Rough Set)属性约简算法,该算法既可保证每次计算都能得到一个约简,又具有较好的时间复杂性.
On the basis of research of two previous attributes reduction arithmetics ,we proposed an attributes reduction algorithm based on the attribute frequency function in rough set. The algorithm promised that each computation can get a reduction,and it is of lower time complexity than Jelonek＇s algorithm.
出处
《武汉大学学报（理学版）》
CAS
CSCD
北大核心
2006年第3期331-334,共4页
Journal of Wuhan University:Natural Science Edition
关键词
粗糙集
可辨识矩阵
可辨识函数
属性约简
rough set
discernibility matrix
discernibility function
reduction of attribute
