DocumentCode
3106877
Title
Notice of Retraction
Risk Prediction Model for Construction Projects Based on Rough Sets and Artificial Neural Networks
Author
Meng Wenqing ; Li Wanqing ; Li Jiping ; Zhang Ming
Author_Institution
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
fYear
2009
fDate
13-14 Dec. 2009
Firstpage
428
Lastpage
431
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Combined with the research status of construction safety management and considered of the human, machine and environment, the security control indexes of ??wounded rate per thousand?? and ??economic loss per million cost of project?? are used to analysis the influencing factors of the construction project and the indexes system was set up. With introducing information entropy to rough set reduction algorithm, the index system was reduced as the input of the artificial neural networks (ANN). Then, the safety prediction model of construction project was established based on rough sets (RS) and ANN. The testing results show that the proposed system provides not only an effective prediction of the main influencing risk factors for construction projects, but also a reliable tool for safety management.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Combined with the research status of construction safety management and considered of the human, machine and environment, the security control indexes of ??wounded rate per thousand?? and ??economic loss per million cost of project?? are used to analysis the influencing factors of the construction project and the indexes system was set up. With introducing information entropy to rough set reduction algorithm, the index system was reduced as the input of the artificial neural networks (ANN). Then, the safety prediction model of construction project was established based on rough sets (RS) and ANN. The testing results show that the proposed system provides not only an effective prediction of the main influencing risk factors for construction projects, but also a reliable tool for safety management.
Keywords
civil engineering computing; construction industry; neural nets; occupational safety; project management; risk analysis; rough set theory; ANN; artificial neural networks; construction projects; construction safety management; information entropy; risk factors; risk prediction model; rough set reduction algorithm; Artificial neural networks; Control systems; Costs; Environmental management; Humans; Information security; Predictive models; Project management; Rough sets; Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information Technology and Management Engineering, 2009. FITME '09. Second International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-5339-9
Type
conf
DOI
10.1109/FITME.2009.113
Filename
5381019
Link To Document