基于重要性的不完备决策系统的属性约简研究

Research on attribute reduction of incomplete decision system based on importance

在不完备信息系统中引入决策属性依赖度,由条件属性所提供的知识对整体决策的支持程度,以此作为启发式信息求出相对核,使属性约简具有较强的支持度。文章通过实例分析,证明该属性约简是有效的方法。

A kind of attribute relative reduction is proposed based on the relative importance of the reduction algorithm. With decision attribute support degree applied in a incomplete information system, the support degree of the knowledge supplied by condition attribute for the whole decision is described and the relative importance degree and relative core are obtained. The reduction has fewer attributes and stronger support. The practical results show that the approach is effective in solving attribute reduction in this paper.