Based on the partition of the radiation area of the targets active radar the task model of the dual-aircraft is set up.By using fuzzy theory to make a generalization to the problems state space providing different transition functions according to different detecting stages and properly defining the action space and reward function the problem is formulated as a Markov Decision Process (MDP).Details of the fuzzy Q learning are presented.Simulation studies indicate that the proposed algorithm can provide adaptive strategies for the dual-aircraft to control their flight paths for non-maneuvering or maneuvering target detection.