A Novel Prediction Model Based on IFGM for Flight Segment Fuel Consumption

Abstract

In order to predict fuel consumption of fixed plane model and flight segment accurately, a novel FGM (1,1) (first entry GM (1,1)) model was proposed based on the weakening buffer operator and improvement of background values and grey developmental coefficient. For the enough scale of really Quick Access Recorder (QAR) data to given conditions, the proposed grey model performs better than FGM, and restrains the negative impact on prediction precision brought by the inaccurate background values of traditional FGM and volatile original data sequence.