Discernibility Matrix-based Attribute Reduction Algorithm of Decision Table

摘要：

A discernibility matrix-based attribute reduction algorithm of decision table is introduced in this paper, which takes the importance of attributes as the heuristic message. This method solves the problem of the attribute selection when the frequencies of decision table attributes are equal. The result shows that this method can give out simple but effective method of attribute reduction.

关键词： binary discernibility matrix attribute reduction rough set decision table

作者: Ying He Dan He

作者单位: Modern Education Technology Center, Nanchang Hangkong University, Nanchang, China School of Information Engineering, Nanchang Hangkong University, Nanchang, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 1230-1234

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）