An annular grey target decision method is proposed based on the category weighted operator in view of that the existing grey target decision method can’t scientifically solve the decision problem of the evaluation information being weaved inconsistent. In the light of the information difference, the evaluate information of decision makers is divided into different categories by means of the orderly incremental method, and the weighted vector weights can be obtained by using the nonlinear programming model. Then a bull’s-eye multiple target circular gray target is defined and the corresponding circular grey target is given to weight categories. The evaluation results are made more reasonable and practical through the secondary rally of program evaluation information between rings and ring. Finally, a case of emergency is given to verify the proposed method.