A New Approach for Handling Forecasting Problems Using High-Order Fuzzy Time Series

In recent years, some researchers used high-order fuzzy time series to deal with forecasting problerns. In this paper, we present a new method for forecasting the enrollments of the University of Alabama based on the high-order fuzzy time series. The proposed method uses the so-called “second order differences” of the enrollments of the previous years to determine the trend of the forecasting. The proposed method gets a higher forecasting accuracy rate than the existing methods.