Identification of Combat Intention of the Carrier-based Fighter Based on MEBN

The maritime battlefield has become one of the main battlefields of modern warfare. As the main means of attack in maritime operations, it is of great significance to identify the combat intention of the carrier-based fighter. In this paper, a combat intention identification model based on multi-entity Bayesian network (MEBN) is proposed. First, the combat process of the carrier-based fighter is analyzed to get the observable key factors that affect combat intentions. Then, combined with the operational knowledge of the carrier-based fighter, the MEBN frag (MFrag) database of carrier-based fighter combat intentions is constructed, and a method is used to synthesize the knowledge of military experts and historical data conclusions to provide conditional probability distribution. More well-rounded and comprehensive information is utilized in the propose MEBN -based model to identify the combat intention of the carrier-based fighter, and it has a fast identification speed based on the complete MFrag base. The experiments in typical cases show that the recognition results of the proposed MEBN -based model are consistent with the analysis results.