DECISION SUPPORT WITH LOGICAL AND FUZZY PETRI NETS
Fedor Lehocki, Gabriel Juhás, Robert Lorenz, Helena Szczerbicka, Martin Drozda · Cybernetics & Systems · 2008
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.