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

• Autorzy: Suraj Z.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

approximate reasoning; decision support systems; fuzzy Petri nets; knowledge representation

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2013
• Tom: Vol. 128, nr 1-2
• Strony: 193--207
• Opis fizyczny: Bibliogr. 23 poz., rys.

Twórcy

autor

Suraj Z.

• Institute of Computer Science, University of Rzeszów, Poland

Bibliografia

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