为解决模糊Petri网建模效率低、工作量大、易出错等问题,提出了模糊产生式规则自动生成模糊Petri网的方法,并给出了其映射模型。该方法通过模型映射,结合图元生成与定位实现了模糊Petri网的自动建模。避免了模糊Petri网建模的人为失误,提高了建模效率。使知识库与模型库同步更新,保证二者的一致性。有利于充分发挥模糊Petri网的知识表示、模糊信息处理与动态并行推理的优势,对模糊Petri网理论的广泛应用具有推动作用。通过实例表明该方法是可行的。
In order to solve the problems of low modeling efficiency, large workload and man-made errors while modeling fuzzy Petri nets (FPNs), an automatic transformational approach from fuzzy production rules (FPRs) to fuzzy Petri nets is proposed and their mapping models are given. This approach realizes the FPN modeling automation according to the mapping models as well as the generation and location algorithms of graphic elements. The modeling efficiency is improved, and man-made modeling errors are avoided. The approach is also convenient to update a knowledge base and its FPN model base simultaneously, which ensures the consistency between them, and improves the abilities of knowledge representation, fuzzy information processing and dynamic concurrent reasoning. The proposed approach accelerates the extensive applications of FPN theory. A practical case illustrates that this method is feasible.