The allocation of electronic interference resources of ship formations plays a very important role in modern naval warfare.In order to solve the problem of allocation of interference resources for self-defence anti-missile operations in naval formations,the data fusion and threat ranking of targets are completed by the joint probabilistic correlation algorithm and the technique for order preference by similarity to an ideal solution.The interference resource allocation index is proposed,and the interference resource allocation model is constructed by combining fuzzy theory.Secondly,to address the problems of slow solution speed and difficulty in convergence of the large-scale target interference resource allocation,the clustering idea is introduced to improve problem solving speed and stability.By improving the K-means clustering method,a principle of interference resource allocation is to ensure that the interference resources of a ship cannot be exhausted.Finally,the established interference resource allocation model is solved based on genetic algorithm,and the significance of introducing clustering to the large-scale optimal allocation problem is demonstrated by comparing the situations with and without introducing the clustering method.The simulation verifies the real-time performance and stability of the solution of the optimal allocation method after the introducing the clustering.