Using interval information granules to improve forecasting in fuzzy time series
A method of partitioning universe based on interval information granules is proposed. The method fully exploit the amplitude and trends information of time series. The method can produce more reasonable intervals with profound semantics. The method can prominently improve performance of fuzzy time series model.
forecasting fuzzy time series interval granules unequal-sized intervals