A New Class of Fuzzy Petri Nets for Knowledge Representation and Reasoning

Issue title: Concurrency, Specification and Programming

Article type: Research Article

Authors: Suraj, Zbigniew

Affiliations: Institute of Computer Science, University of Rzeszów, Poland. zbigniew.suraj@ur.edu.pl

Note: [] Address for correspondence: Institute of Computer Science, University of Rzeszów, Poland

Abstract: This paper presents a new class of Petri nets called generalised fuzzy Petri nets. The new class extends the existing fuzzy Petri nets by introducing three operators in the form of triangular norms, which are supposed to function as substitute for the min, max and * (algebraic product) operators. To demonstrate the power and the usefulness of this model, an application of the generalised fuzzy Petri nets in the domain of train traffic control is provided. The new model is more flexible than the classical one as in the former class the user has the chance to define the input/output operators. The proposed approach can be used for knowledge representation and reasoning in decision support systems.

Keywords: fuzzy Petri nets, knowledge representation, approximate reasoning, decision support Systems

DOI: 10.3233/FI-2013-941

Journal: Fundamenta Informaticae, vol. 128, no. 1-2, pp. 193-207, 2013