Study on Method of Forecasting of Construction Safety Based on Rough Set and Support Vector Machine

This paper combines the rough set (RS) theory and support vector machine (SVM), and making best use of the attribute reduction characteristic of RS theory catches the main attribute of the research subjects, and it uses SVM to make prediction model, and applies this method to construction safety pre...

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Bibliographic Details
Main Authors: Shu-Quan Li, Liang-Ying Zhao, Yna-Jie Dou, Kun Hou, Rui Zhu
Format: Conference Proceeding
Language:English
Subjects:
Chaos
Construction industry
Domestic safety
Economic forecasting
Frequency
Industrial accidents
Mathematical model
Predictive models
Safety devices
Support vector machines
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Summary:This paper combines the rough set (RS) theory and support vector machine (SVM), and making best use of the attribute reduction characteristic of RS theory catches the main attribute of the research subjects, and it uses SVM to make prediction model, and applies this method to construction safety pre-warning. The experiment results show that the method is viable, which makes a useful exploration research for the method of construction safety pre-warning.
ISSN:2161-9646
DOI:10.1109/WiCom.2008.1758