Predictor design of a novel grey model PGM21 using pseudo second-order information

Keh Tsong Li*, Yon-Ping Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A novel grey model, called pseudo-GM(2,1) or PGM21 for simplicity, is developed to improve the prediction accuracy for a non-monotone sequence by modifying the GM(1,1) model with a remedial term. Since the remedial term consists of two development coefficients, it can be treated as a kind of second-order information, called the pseudo second-order information in this paper. With the remedial term, the PGM21 only costs a little higher computation time than the original GM(1,1) model; however, its prediction accuracy is highly increased. The important features of the PGM21 are demonstrated by numeric simulation results.

Original languageEnglish
Pages (from-to)395-400
Number of pages6
JournalJSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing
Volume49
Issue number2
DOIs
StatePublished - 15 Dec 2006

Keywords

  • Grey model
  • Non-monotone sequence
  • Prediction accuracy
  • Pseudo second-order information

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