DocumentCode :
3235959
Title :
Study on the prognostication of construction casualties based on grey-markov theory
Author :
Huang Guo-zhong ; Liu Hui ; Yang Can-sheng ; Wu Zhong-guang
Author_Institution :
Civil & Environ. Eng. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2011
fDate :
22-24 April 2011
Firstpage :
3556
Lastpage :
3559
Abstract :
According to the grey system theory and markov principle, the fitting accuracy index is stochastic and fluctuant when time series data development trend is fitted through the grey theory, but the markov principle is suitable for processing the system with great stochastic fluctuation, therefore, a prognostication is put forward which is in accordance with the characteristics of construction casualties´ statistical data and is based on the grey system theory and markov principle. The prognostication is suitable for the dynamic forecasting process featured by short forecasting time, small data quality and great stochastic fluctuation. The conclusion about the development trend of construction casualties with the prognostication based on the grey-markov theory is more ideal compared with the grey model. The application example shows that the forecasting conclusion based on grey-markov theory is more accurate and more reliable. So the model is available enough to forecast the construction accidents.
Keywords :
Markov processes; construction; forecasting theory; grey systems; industrial accidents; occupational safety; time series; construction accidents; construction casualties; dynamic forecasting process; fitting accuracy index; grey-markov theory; prognostication; statistical data; stochastic fluctuation; time series data development trend; Accidents; Fluctuations; Forecasting; Markov processes; Predictive models; Presses; construction casualties; markov principle; prognostication; the grey system theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location :
Lushan
Print_ISBN :
978-1-4577-0289-1
Type :
conf
DOI :
10.1109/ICETCE.2011.5775222
Filename :
5775222
Link To Document :
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