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
Link To Document