Design of Knowledge Base for Fault Diagnosis System Based on Rough Set Theory
Ping Wang · Computer Technology and Development · 2008
Fault diagnosis is a complex and difficult problem that concerns effective decision-making.Incomplete information can be effectively analyzed and processed by rough set theory.Knowledge base is the core of fault diagnosis system.A decision-rule can be deduced based on arithmetic of rough set theory,in which the fault information of diesel engine was extracted and reduced.A program was designed for knowledge base composed of fact-base and rule-base,in which the data was arranged in linking table and saved in the form of document.It is very efficiency to reduce the attributes of fault condition based on the method of rough set.The simplified decision-making rules were carried out and the design for knowledge base became more convenient.