• DocumentCode
    2088426
  • Title

    Grey group model forecasting in the field of application of the agricultural economy

  • Author

    Nan, Liu

  • Author_Institution
    Sch. of Econ. & Manage., Daqing Normal Univ., Daqing, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    391
  • Lastpage
    394
  • Abstract
    Agricultural economic forecasts play an important role in the fields of industrial distribution, industrial structure adjustment and so on. At present, there are not any detailed researches on agriculture forecast. For the characteristics of the agricultural economy as well as the shortcomings and deficiencies of existing researches, this paper presents an improved grey model to forecast the agricultural economy and conducts case study. The results show that from the points of accuracy, reasonableness and practicality, the improved grey model is more suitable for prediction of agricultural economy than others.
  • Keywords
    agriculture; economic forecasting; grey systems; industrial economics; agricultural economic forecast; grey group model forecasting; industrial distribution; industrial structure adjustment; Accuracy; Agriculture; Correlation; Data models; Economics; Mathematical model; Predictive models; agricultural economy; forecast; grey group model; grey model; grey relation grade;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
  • Conference_Location
    Zibo
  • Print_ISBN
    978-1-4244-9574-0
  • Type

    conf

  • DOI
    10.1109/ICAE.2011.5943826
  • Filename
    5943826