针对传统产生式规则无法进行不确定性知识表示和推理的局限,本文使用三值产生式规则,用-1表示前提、结论和它们之间的不确定性,提出一种基于模糊Petri网的三值产生式知识表示和不确定性推理算法。该算法充分利用推理过程中已得到的中间结论,通过标识和关联矩阵的运算实现高速推理。 Aiming at the limitation that the traditional rules of production can not carry on the indefinite knowledge representation and reasoning, this paper uses the rule of three-value production, using -1 to represent the premise, the conclusion and the uncertainty between them, Value Production Knowledge Representation and Uncertainty Inference Algorithm. The algorithm makes full use of the intermediate results obtained in the inference process and achieves high-speed inference through the operation of identification and correlation matrix.