Reasoning and Analysis of Uncertainties within Command and Control Navigation Simulation Using Fuzzy Logic Petri Net
Amir M. Anvar · Studies in fuzziness and soft computing · 2002
The main objective of this paper is to study and design a methodology to apply a fuzzy logic Petri Net approach to handle approximation and uncertainty within command and control navigation processes in a simulation environment. The design of this study is to provide a fundamental decision support system within a command and control object in a distributed simulation framework. In particular, due to inherent uncertainties within a navigation simulation strategy it is essential to design a system that uses intuitive approaches to navigation. In this investigation Petri Net is used as a simulation tool to explore the use of fuzzy logic in autonomous command and control within navigation problems. This framework also highlights the reasoning used to decide the most appropriate path from various navigation routes. The outcomes are beneficial in several areas including auto-navigation simulation within command and control systems. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.