With the enhancement of the approach controller’s?entry training?improving their?comprehensive quality, the scheme?of?quality index optimization ?can readjust the training focus and monitor the training process in time.For?reaching?the requirements of approach control quality, combining with the actual situation of the entry training of the approach post in the Sub-Bureau, this paper discusses 23 skill qualities and 6 non-skill qualities of the approach controller, and measures and calculates the approach control indexes by the entropy weight method, to discusses the combination between entropy weight and group weight.The results show that?Entropy weighting and group weight algorithm will be more suitable for real requirements of entry training , as it can consider the change of quality defect and fit the original importance of approach control indexes. The two-phase-training data reflects the improvement of trainees in scanning ability and adjustment ability after training, so the training emphasis will focus on the improvement on the second level ability, such as conflicts resolution.The model algorithm and its application provides?an effective exploration for the dynamic adjustment of approach control training system.