粗糙集理论在故障诊断专家系统中的应用

Application of Rough Set Theory in Fault Diagnosis Expert System

针对专家系统中知识获取的瓶颈问题 ,引入了一种基于粗糙集理论的专家系统模型。该模型在知识入库前对其进行过滤 ,并利用粗糙集理论的约简算法消除知识库的冗余 。

Aimed at the bottleneck problem of obtaining knowledge of expert system, a rough-set-based expert system model is proposed. In this model, knowledge is filtrated before it is input to the knowledge base and the redundancies are eliminated by using the predigest arithmetic of rough set theory. Thereby the structure and performance of the knowledge base are effectively maintained and perfected according to this method.