Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China
Abstract Background Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry.This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population.Methods In this paper, a GT-FGM model is proposed, which