In this article, we present a new model based on hybridization of fuzzy time series theory
with artificial neural network (ANN). In fuzzy time series models, lengths of intervals always
affect the results of forecasting. So, for creating the effective lengths of intervals of the
historical time series data set, a new “Re-Partitioning Discretization (RPD)” approach is
introduced in the proposed model. Many researchers suggest that high-order fuzzy
relationships improve the forecasting accuracy of the models. Therefore, in this study, we …