• DocumentCode
    1727047
  • Title

    Research on city waste production forecast based on background value optimizing GM(1,1) model

  • Author

    Chu Yan Feng ; Huang Xiao Qiong

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • Firstpage
    369
  • Lastpage
    372
  • Abstract
    The city waste production forecasting is one of the important prerequisites to develop disposal measures for public services. The city waste systematic management started relatively late in china, the influence factors of waste output are relative larger, and the relationships among the factors are sometimes difficult to accurately described, moreover, the forecasting data sample is seldom. So the errors of the prediction were over large always. Based on the analysis of the traditional prediction GM (1,1) model, the application of background value optimizing GM(1,1)model to city waste production forecasting is proposed in this paper. Comparative analysis the waste production forecasting results of the traditional model and the optimization model in Shanghai between the year 2004 to 2009, it got verified the feasibility and effectiveness of the optimal of the background value in GM (1,1) model. Finally, the optimized GM (1,1) model is used to forecast the future waste production in Shanghai.
  • Keywords
    forecasting theory; optimisation; waste disposal; GM(1,1) model; background value optimization; city waste production forecasting; city waste systematic management; comparative analysis; disposal measures; forecasting data sample; future waste production; influence factors; optimization model; public services; traditional prediction; waste output; Forecasting; Humans; Predictive models; Silicon; Background Value Optimization; City Waste; GM(1,1); Production Forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044080
  • Filename
    6044080