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Study of knowledge representation and acquisition based on fuzzy coloured Petri net. (Chinese. English summary) Zbl 1008.68128

Summary: 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 Colored Petri Net (FCPN) is presented based on fuzzy Petri net and colored Petri net, and some algorithms for reasoning is also proposed. In this method the different variable in rule base is distinguished with a kind of color through making the best use of its characteristic of graph, each kind of color 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.

MSC:

68T30 Knowledge representation
68Q85 Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.)
68T35 Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence
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