Fuzzy Petri net for UAV decision making

Abstract

The decision for an autonomous unmanned air vehicle (UAV) to strike a target is an important one that has important consequences. The details regarding the decision and the process of deciding need to be well defined and understood. This paper presents a Petri net approach to UAV decision making based on fuzzy reasoning. It shows that Petri nets are a viable tool for modeling and validating propositional logic for rule-based reasoning in UAV decisions. It also discusses alternative methods for modeling places as input sources for transitions representing rules