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author:

Sun, L. (Sun, L..) [1] | Liu, G.-M. (Liu, G.-M..) [2]

Indexed by:

Scopus

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. © 2011 IEEE.

Keyword:

Construction disaster; Gray prediction; Markov chain; Random fluctuation

Community:

  • [ 1 ] [Sun, L.]Department of Engineering Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Sun, L.]School of Management, Fujian University of Technology, Fuzhou, China
  • [ 3 ] [Liu, G.-M.]Department of Engineering Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Sun, L.]Department of Engineering Management, Fuzhou University, Fuzhou, China

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Source :

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011 - Proceedings

Year: 2011

Page: 4969-4972

Language: Chinese

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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