ANALYSIS MODEL FOR FORECASTING EXTREME TEMPERATURE USING REFINED RANK SET PAIR

In order to improve the precision of forecasting extreme temperature time series, a refined rank set pair analysis model with a refined rank transformation function is proposed to improve precision of its prediction. The measured values of the annual highest temperature of two Chinas cities, Taiyuan and Shijiazhuang, in July are taken to examine the performance of a refined rank set pair model.