Abstract: Aiming at multi-UCAVs (Unmanned Combat Air Vehicles) attack-defense decision-making problem, and in order to improve operational efficiency, increase benefits and reduce costs, a mathematic model for multi-UCAVs attack-defense decision-making is established and a attack-defense decision-making algorithm is developed based on wolf pack search (WPS) algorithm and satisficing decision theory. The WPS is employed to calculate the satisficing factor and the satisficing solution of attack-defense decision-making is obtained by the satisficing decision theory. Comparing with other traditional methods, the simulation result shows that the proposed method can consider both the air combat superiority and attack-defense benefit-cost, and realize the attack-defense decision-making effectively for multi-UCAVs.