Application of Rough Set Theory in Fault Diagnosis Expert System
Jun Li · Computer Automated Measurement & Control · 2003
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.