粗糙集分层递阶约简算法在医学诊断中的应用

The application of hierarchical reduction approach based on RST in medical diagnosing

粗糙集理论的分层递阶约简算法是根据属性的获取方式、采集成本和实时性要求等对属性进行分类,使信息系统或者决策系统中的所有属性在单层次和单粒度上的知识表示变为部分属性所构成的知识在多种层次和多种粒度上的表示,从而可以逐层对决策系统进行约简。分层递阶约简算法在某医学诊断中的应用证实其有效性。

A hierarchical reduction approach of RST is proposed. In this approach , according to the acquisition mode , cost and the real time requirement , the attributes are classified to different parts allocated at several layers. So the knowledge in the information system multiple layers. The application in acquiring the hierarchical reduction apprach. can be presented hierarchically with multiple granularities at decision of medical diagnosing shows the validity of the hierarchical reduction apprach.