A recognition-inference procedure for a knowledge representation scheme based on fuzzy petri nets

Authors:
Slobodan Ribarić;Nikola Pavešić
Affiliations:
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia;Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia
Venue:
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Year:
2006

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Abstract

This paper presents a formal model of the knowledge representation scheme KRFP based on the Fuzzy Petri Net (FPN) theory. The model is represented as an 11-tuple consisting of the components of the FPN and two functions that give semantic interpretations to the scheme. For the scheme a fuzzy recognition-inference procedure, based on the dynamical properties of the FPN and the inverse –KRFP scheme, is described in detail. An illustrative example of the fuzzy recognition algorithm for the knowledge base, designed by the KRFP, is given.