A novel two – factor high order fuzzy time series with applications to temperature and futures exchange forecasting

Abstract

High order fuzzy time series forecasting methods are more suitable than first order fuzzy time series forecasting methods in dealing with linguistic values. However, existing high order methods lack persuasiveness in dealing objectively with multiple–factor fuzzy time series …