A method of fuzzy rule representation in expert system

Abstract

Fuzzy rule representation is a core of the model expert system, through analysis of traditional knowledge representation implementation disadvantages of method, propose the combine a database and knowledge base integration, using a relational database to express fuzzy rules knowledge. First, knowledge base of rules designed to convert the method to the database and corresponding table structure, and then describe the fuzzy rules, study the cartesian product of fuzzy rules based on the relationship between representation. Finally, concrete example of fuzzy rule representation. Using this method, the advantage is that queries can be used in place of reasoning, improve the treatment efficiency.