Tactical Intention Recognition Based on Fuzzy Multi-Entity Bayesian Network

In this paper, the representation and reasoning of uncertainty in the field of tactical intention recognition are analyzed and studied. An intelligent command and control decision support process based on deep reinforcement learning and fuzzy multi-entity Bayesian network is proposed. On this basis, a method of tactical intention recognition based on fuzzy multi-entity Bayesian network is also proposed and probability ontology is constructed. The experimental results show that the method proposed in this paper is feasible and provides a new solution for the representation and reasoning of uncertain information in the field of battlefield situation estimation.