Research on Extracting Rules from Information System Basedon Discernible Vector

摘要：

The problem of rule extraction is an important part of knowledge database discovery, so the paper proposed a new method to deal with it. Established a discernible vector based on equivalent class relationship, operated the discernible attributes in the discernible vectors through boolean calculation, and then obtain the reduced attribute set. Finally, the concise decision rules were obtained after reducing the attribute values in the reduced attribute set. The illustration and experiment results indicate that the method is effective and efficient for rule extraction.

关键词： Rough Set RuleExtraction Information System

作者: Xu E Liangshan Shao Shaocheng Tong Yuan Wang Lisha Ning Qingsong Shen

作者单位: the Department of Computer, Liaoning University of Technology, Jinzhou, China Liaoning Technical University, Fuxin, China Liaoning University of Technology, Jinzhou, China. Liaoning Agriculture Economic School, Jinzhou, China Technological Institute of Shenyang Building Uuniversity, Liaoyang, China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）