A novel fuzzy time series method for forecasting based on hedge Algebras
Abstract
So far, many methods have been proposed to deal with forecasting problems using fuzzy time series. In this paper, we have proposed a new fuzzy time seriesforecasting method based on hedge algebras. To examine efficiency of our method, we employed the data of the Vietnam’s outbound tourists in order to predict and compare with ARIMA. It is clear that our method has smaller error than ARIMA method. Furthermore, experimenting our method with the data of the enrollment of Alabama University, our forecasting results are better than ones presented in studies.