Generalised Fuzzy Petri Nets for Approximate Reasoning in Decision Support Systems.
Zbigniew Suraj · 2012
Abstract. The aim of this paper is to present a new class of Petri nets called generalised fuzzy Petri nets. The new class extends the existing fuzzy Petri nets by introducing two operators: triangular norms (t-norms) and t-conorms (s-norms), which are supposed to function as substitute for the min and max operators. To demonstrate the power and the usefulness of this model, an application of the generalised fuzzy Petri nets in the domain of train tra c control is provided. The new model is more exible than the classical one as in the former class the user has the chance to de ne the input/output operators. The proposed approach can be used for knowledge representation and reasoning in decision support systems. Key words: fuzzy Petri nets, knowledge representation, approximate reasoning, decision support systems 1