Autonomous attack decision-making of UCAV based on ABFCM model framework

In order to exert the autonomy of unmanned combat aerial vehicle's (UCAV) decision-making and relieve the operator's task burden, based on the agent-based fuzzy cognitive map (ABFCM) model framework, the three-level UCAV's autonomous attack decision-making model is designed, which contains information processing, decision reasoning and human-vehicle interaction. The contents of UCAV's autonomous attack decision-making are decomposed into agents of different levels and effects. On the basis of respectively constructing the causal inference model of every agent, the whole decision inference behavior is organized legitimately and orderly. Simulation analysis proves the model's rationality and feasibility, simultaneously it demonstrates that the autonomous attack decision-making model will help UCAV adapt to the increasingly complex battle-field environment, and enhance the independent combat capability under the supervisory control mode.