Construction Research of Diagnostic Knowledge Base Based on Decision Technology and RS Theory

There are some difficulties of knowledge acquisition in constructing knowledge base during the diagnostic reasoning. For this reason, a diagnostic knowledge base constructing model based on decision and RS theory is put forward in this paper. In this model, decision technology and RS theory are introduced to preprocess source data and construct decision table. Minimum reduction attribute set of fault diagnosis and diagnostic rules is obtained through attribute reduction and value reduction. Meanwhile, the diagnostic rules’ knowledge base is set up. It is proved through examples that the feature knowledge reflecting fault best can be extracted and the problems of knowledge redundancy or lack of knowledge in the construction of diagnostic knowledge base can be solved with diagnosis classification results kept in this method. And the accuracy and efficiency of fault diagnosis are improved significantly.