Study for knowledge representation and acquisition based on fuzzy coloured Petri net

Owing to the characteristics of uncertainty and many rules of knowledge for some complicated expert control system a method for knowledge representation and acquisition based on fuzzy coloured Petri net (FCPN) is presented based on fuzzy Petri net (FPN) and coloured Petri net (CPN), and some algorithms for reasoning is also proposed. In this method the different variable in rule base is distinguished with a kind of colour through making the best use of its characteristic of graph, each kind of colour is expressed with a kind of mark symbol, therefore a much concise FCPN can be formed. It was used in train expert control system for uncertainty knowledge representation and acquisition, and the result shows that this method is very effective for large scale and complicated expert control system.