Abstract:

To solve the problems arising in the processing of expressing the inference arithmetic of fuzzy Petri net with closed loops in structure, a model of consistentness fuzzy Petri net based on evidence revising factor is constructed, in which the multirule situation is degenerated into a single rule one with a certain confidence factor of compound evidence, and the closed loops are equal to common structure effectively. The model also makes full use of the inner logistic relations between fuzzy AND and fuzzy OR in the rule, distinguishes the two combination relations between AND and OR in the representation of the fuzzy rules with fuzzy Petri net. So the disadvantages of the traditional accumulationtype weighted fuzzy logistic method are conquered and the complexity of the algorithm is reduced. Finally an example is provided to demonstrate that the reasoning model is effective and can be carried out through programming easily. It fits reasoning for the complex fuzzy Petri net especially.