Due to the volatility with unstably in the modern finance, the ability of forecasting is notoriously embarrassing and represents a major challenge with traditional time series forecasting methods; especially, most of the available approaches are still weak to forecast future predictions under the unbalanced frameworks. The purpose of this current study is to propose a Taylor Series approximation based Unbiased GM(1,1) Hybrid approach (HTS_UGM(1,1)) to handle incomplete, noise and uncertain data in multidisciplinary systems.