A Petri Net Based Flexible Model for Reasoning and Behavior Modeling of Event-Based Systems

Abstract

In this article, the behavior of event-based and rule-based systems is modeled using Hierarchical Fuzzy Petri nets (HFPN). In such systems, a large number of rules with fuzzy variables can lead to increase complexity in deducing behavior. So far, several FPN methods have been presented for these systems. In this paper, we present an HFPN leading to a reduction in the number of arcs, places and transitions as well as a reduction in the ML language code on Petri-net arcs and the increase of the code constructiveness. Finally, we applied our method for modeling and reasoning a secure water treatment system against burst pipe attack.