Decision trees can be created by using information entropy through the research on vessel intention recognition experience. Through analyzing the intention recognition historical data, correct the error meta-groups and add them to the historical information base and reconstruct decision tree. The method has self-study ability and can carry out simulation analyze based on example. The results show that the method has self-study ability, the intention recognition accuracy rate will improve by the learning and overcome the cheating of battlefield target intention in some degree.