A heuristic algorithm of attribute reduction in rough set

被引：0

作者：

Liang, JK ^{[1
]}

Zhang, Y ^{[1
]}

Qu, YB ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Informat Sci & Engn, Weihai 264209, Peoples R China

来源：

Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年

关键词：

Rough Set; attribute reduction; attribute frequency; fault diagnosis;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discussed the attribute reduction in Rough Set theory. By analyzing the common process of reduction algorithm based on the discernibility matrix, a kind of heuristic reduction algorithm utilizing the frequencies of attributes has been presented. According to the application in fault feature extraction of diesel engine, the validity and feasibility of the algorithm was demonstrated.

引用

页码：3140 / 3142

页数：3