• DocumentCode
    3181305
  • Title

    Apply Gray-Markov Model to predict construction disaster death toll

  • Author

    Sun, Lei ; Liu, Guo-mai

  • Author_Institution
    Dept. of Eng. Manage., Fujian Univ. of Technol., Fuzhou, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    4969
  • Lastpage
    4972
  • Abstract
    The prediction of construction disaster is the basis of construction safety assessment and decision-making. Gray prediction is suitable for such kinds of system objects with few data, short time and little fluctuation, and Markov chain theory is just suitable for forecasting stochastic fluctuating dynamic process. By combining the advantages of both gray prediction and Markov chain theory, a new gray Markov model is proposed. Markov prediction is used to forecast the fluctuation along the tendency. Finally, the new model is applied to predict the construction disaster death toll of the china from 1999 to 2009. The results show that the new model not only discovers the trend of the construction disaster death toll but also overcomes the random fluctuation of data affecting precision.
  • Keywords
    Markov processes; construction; decision making; disasters; forecasting theory; grey systems; occupational safety; China; Markov chain theory; construction disaster death toll; construction safety assessment; decision making; gray prediction; gray-Markov model; stochastic fluctuating dynamic process; Degradation; Fluctuations; Forecasting; Markov processes; Predictive models; Presses; Reliability engineering; Gray prediction; Markov chain; construction disaster; random fluctuation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010990
  • Filename
    6010990