Abstract: An annular grey target decision-making method based on density weighted operator is proposed in view of the present situation that the existing grey target decision-making methods don’t divide the grey target into different groups and couldn't scientifically solve the decision problems that the distribution of the evaluation information is inconsistent. According to different dentistry, the evaluation information is divided into different categories by orderly incremental method, and a nonlinear programming model is established for calculating the weight vector. On this basis, a grey decision-making method with one bull's-eye and multiple annular gaps is defined, and the corresponding weight vector is given. It is made the evaluation results more reasonable and practical by using twice aggregation of the evaluation information inside the rings and between the rings. Finally, two cases are given to illustrate the feasibility and validity of the proposed method.