DocumentCode :
1912564
Title :
Investigation of Grey System Theory in Engineering Project Risk Management
Author :
Yang Wanbin ; Qu Zhiming
Author_Institution :
Inst. of Civil & Environ. Eng., Beijing Univ. of Sci. & Technol., Beijing, China
Volume :
4
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
395
Lastpage :
398
Abstract :
Using the theory of grey clustering and grey correlation in project risk identification, the advantage and disadvantage analysis are analyzed in risk management of engineering project. The procedures of grey clustering analysis are given. Moreover, the application of grey clustering and grey relation is analyzed and discussed. Grey correlation analysis and clustering methods are proposed, which is more effective quantitative analysis on project risks management. Principles of grey relational analysis are introduced and compared with mathematical and statistical methods. Grey relational analysis method is highlighted in the fields of risk management advantages. Using grey relational analysis, the ideas of grey cluster similarly associated with the grey relation are analyzed. The advantages of grey clustering method are emphasized comparing with the average method and fuzzy recognition method.
Keywords :
fuzzy set theory; grey systems; pattern classification; risk management; engineering project risk management; fuzzy recognition method; grey clustering analysis; grey correlation; grey relational analysis; grey system theory; project risk identification; Clustering methods; Decision making; Economic forecasting; Environmental economics; Investments; Project management; Risk analysis; Risk management; Statistical analysis; Systems engineering and theory; engineering project risk management; grey clustering and grey relation; grey system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.810
Filename :
5288306
Link To Document :
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