DECISION SUPPORT WITH LOGICAL AND FUZZY PETRI NETS

Authors:
Fedor Lehocki;Gabriel Juhas;Robert Lorenz;Helena Szczerbicka;Martin Drozda
Affiliations:
Faculty of Electrical Engineering and Information Technology, Slovak University of Technology—Bratislava, Slovak Republic;Faculty of Electrical Engineering and Information Technology, Slovak University of Technology—Bratislava, Slovak Republic;Department of Applied Computer Science, Catholic University of Eichstatt-Ingolstadt—Germany,;FG Simulation und Modellierung, Computer Science Department, Leibniz University of Hannover—Germany,;FG Simulation und Modellierung, Computer Science Department, Leibniz University of Hannover—Germany,
Venue:
Cybernetics and Systems
Year:
2008

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Abstract

Modern knowledge representation is a very dynamic domain because of continuous research and development. This paper presents Logical Petri Nets (LPNs) and Fuzzy Petri Nets (FPNs) as models for knowledge representation. It is shown that knowledge propagation, described using logical and fuzzy Petri nets, terminates in a unique stable state. Based on this result, the paper introduces an algorithm for knowledge propagation in decision support systems.