中文摘要：

运用模糊Petri网进行模糊推理，有利于知识表示结构化，推理过程清晰化，且具有高度的并行处理能力，但在现实世界中无法直接确定命题的真实程度。该文利用相似度原理以及连续函数对模糊Petri网作标识，根据带标识的模糊Petri网变迁触发规则得到系统输出。此外，当知识库所中增加新的规则，只须在原有的模糊Petri网中增加相应结点，对原来专家系统中知识维护有较大的帮助。

英文摘要：

The application of fuzzy Petri nets for fuzzy reasoning is in favor of knowledge representation structured, reasoning process sharpened, and it has strong parallel processing capacity. However, the true extent of the proposition can not be determined directly in the real world. In this paper, the authors determine the value of token in fuzzy Petri net by similarity principle and continuous function, the system actual output is obtained according to the rules of transition firing in marked fuzzy Petri net. Furthermore,when the knowledge base needs new rules, the demand can be met only by increasing the corresponding node in the original fuzzy Petri net, which is helpful for knowledge maintenance of the expert system.