Aiming at solving repeated calculation of several decision-making programs in the same decision-making scenarios, a model is established, which can eliminate the invalid decision-maker and screen the optimal decision program. In order to identify and get rid of the invalid decision makers, an optimized model of calculating the index weight and a method based on the vector difference degree evaluating the performance of decision makers are proposed. Then, the grey-target decision-making model is used to choose the optimal program. At the same time, the method of calculating the weight value of different decision makers for the next decision can be obtained for the next decision. The history information can be made full use of and the assessment of the decision makers can be restricted by the proposed model, which can improve the quality of decision effectively. Finally, the numerical cases are given to illustrate the effectiveness and feasibility of the proposed method.