A hybrid fuzzy–ensemble method for time series forecasting

This study proposes a rule-free hybrid forecasting framework that integrates type-1 fuzzy function modeling with ensemble regression via random forests. The proposed hybrid fuzzy-ensemble model first constructs lagged representations of a univariate time series and applies fuzzy c-means clustering to obtain soft partitions of the input space. For each cluster, a dedicated random forest regressor i…