In recent years, many methods have been proposed for forecasting enrollments based on fuzzy time series. However, the forecasting accuracy rates of the existing methods are not good enough. In this paper, we present a new method to forecast enrollments based on fuzzy time series. The proposed method belongs to the first order and time-variant methods. The historical enrollments of the university of Alabama are used to illustrate the forecasting process of the proposed method. The proposed method can get a higher forecasting accuracy rate for forecasting enrollments than the existing methods.