Attribute Reduction Based on Improved Discernibility Matrix

摘要：

The attribute reduction based on information entropy is different to that based on positive region in inconsistent information system. The problem of discernibility matrix in algebra view is analyzed, and an new discernibility matrix based on information entropy is proposed in this paper. This algorithm considers whether the objects compared are consistent, analyses in detail the degree of inconsistency and the distributing proportion of their conditional equivalent classes in decision classes, and the reduction based on information entropy is acquired finally. The theoretic analysis and simulation instance shows that this algorithm is feasible and effective in practice.

关键词： rough set attribute reduction information entropy discernibility matrix

作者: Zhou Peng Li Zhishu Huang Zhiguo

作者单位: College of Computer Science Sichuan University Chengdu,Sichuan,610065,ChinaInternational College Hua College of Computer ScienceSichuan UniversityChengdu,Sichuan,610065,China International College Huanghuai University Zhumadian,Henan 463000

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）