基于模糊彩色Petri网的知识表示与获取研究

针对一些复杂专家控制系统的知识不确定性及知识规则数量多的特点，在模糊Petri网和彩色Petri网的基础上，给出了一种基于模糊彩色Petri网（FCPN）的知识表示和知识获取方法。该方法充分利用其图形化的特点将模糊规则库中的不同变量用不同的色彩来区分，每一种色彩用一种标识符号来表示，因此可构成一个更为简明的FCPN图。将其用于列车专家控制系统的不确定性知识的表示及获取，结果表明，基于模糊彩色Petri网的知识表示和获取方法对大型、复杂的专家控制系统是非常有效的。

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 mak ing 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.