A Method of Knowledge Acquisition Based on the Discernibility in Imperfect Information System

摘要：

Traditionally speaking,the information system is assumed to be perfect, i.e. attribute values are not missing and supposed to be precise. In fact, imperfect information system (include missing data and imprecise data) is always exist. However researches on the method of knowledge acquisition based on imperfect information system are relatively less. In this paper,based on imperfect information system, a method of attribute reduction on the basis of the discernibility of information system is proposed. The example shows that the method can find the reduct of imperfect information table and the relative reduct of imperfect decision table. These results have important instructive significance for further studying on the knowledge acquisition in imperfect information system.

作者: Yi Zhang Jifang Pang Jiahua Liang Jiye Liang

作者单位: School of Management of Shanxi University, Taiyuan 030006, China School of Computer and Information Technology of Shanxi University, Taiyuan 030006, China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）