In view of the problems that the existing fuzzy time series forecasting methods lack persuasiveness in partitioning
interval and data fuzzifying. Therefore firstly, a formula contained distance parameter is proposed to calculate the cluster
number, and then based on fuzzy c-means(FCM) and parameters’ adjusting, unequal-sized intervals are obtained. Then a
definition method of the fuzzy sets is objectively given by distance in data fuzzification. Meanwhile, the optimal forecasting
results and cluster number are determined by the smallest standard error(RMSE). Finally, the forecasting of Alabama
university enrollments shows the effectiveness of the proposed method.