Aiming at the problem of multi UAV air combat game strategy in UAV combat command system, a Nash equilibrium solution based on quantum particle swarm optimization (QPSO) under fuzzy strategy is proposed. Through the analysis of UAV combat situation information, establish multiple UAV air combat operational revenue function of both sides, according to the UAV pure strategy centralized fuzzy subset of both sides, build UAV game payoff matrix of both sides based on fuzzy strategy, then obtain the optimal selection strategy of both side. The simulation results show that the the method is offective and feasible.