ANALYSIS MODEL FOR FORECASTING EXTREME TEMPERATURE USING REFINED RANK SET PAIR

Abstract

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 China's cities, Taiyuan and Shijiazhuang, in July are taken to examine the performance of a refined rank set pair model.

Keywords

Dates

  • Submission Date2013-01-01
  • Revision Date2013-04-27
  • Acceptance Date2013-04-30
  • Online Date2013-12-28

DOI Reference

10.2298/TSCI1305369Q

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