Algorithm of Attribute Reduction Based on Decision System with Uncertain Factor and Soft Computing

摘要：

An the data mining research,Rough Set is an important topic. Rough Set algorithm submitted by Z.Pawlak in 1982 is effective method on data mining adopted in recent years. Rough Set has been applied to machine learning expert system designing and knowledge indicating. Objects classify is strict excessively and too sensitive on noise. In this paper,aiming at uncertain information and noise data,decision system with uncertain factor is established,the attributes in the system are reduced via the soft computing,whereby finding a reducible implied pattern of the data,and deleting those redundant rules in the system,and it can keep the original properties and functions of the system .the procedure of soft computing by introducing an example is described.

关键词： data mining decision system with uncertain factor attribute reduction soft computing

作者: Wang Peiji Zhao Yulin Yang Xiaoqing Bai Jinniu

作者单位: School of mathematics physics and biological engineering,Inner Mongolia University of Science and Te Branch 2,Inner Mongolia No. 1 Machinery,Baotou 014010,China House property section,Baotou Iron and Steel (Group) CO. Baotou 014010,China School of medicine,Inner Mongolia University of Science and Technology,Baotou 014010,China

会议类型: 国际会议

会议名称: 2010 International Forum on Computer Science-Technology and Applications(2010 国际计算机科学技术应用论坛 IFCSTA 2010)

会议地点: 南宁

会议语种:英文

页码: 121-124

在线出版日期: 2010-12-10（万方平台首次上网日期，不代表论文的发表时间）