DocumentCode :
478950
Title :
Research on the Risk Assessment of Engineering Project Based on Grey Theory and Fuzzy Mathematics
Author :
Tiefu Zhang ; Jun Yan ; Xing Zhang ; Dahai Peng
Author_Institution :
Eng. Inst. of Eng. Corps, PLA Univ. of Sci. & Technol., Nanjing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
The risk assessment of engineering project is an important basis for the risk management countermeasure in project actualization phase. This paper brings forward design discipline of risk assessment index system, and founds risk assessment index system of engineering project based on it. In view of the shortcomings of traditional fuzzy assessment, which are coarse quantification of qualitative indices and unconsidering holistic information in the assessing process, grey theory is introduced into risk assessment, and establishes comprehensive assessment models based on grey theory and fuzzy mathematics. The fundamental and calculation steps of this method is clarified, an actual application indicates that this model is valid and feasible. The method can combine qualitative analysis with quantitative analysis effectively and synthesize expert group opinions adequately, which provides a good way for risk assessment of engineering project, as well provides a mathematical tool of analysis on risk assessment for such projects with limited number of samples and amount of information.
Keywords :
fuzzy set theory; grey systems; project engineering; project management; risk management; engineering project; fuzzy mathematics; grey theory; risk assessment index system; Design engineering; Fuzzy systems; Information analysis; Mathematical model; Mathematics; Programmable logic arrays; Project management; Risk analysis; Risk management; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2494
Filename :
4680683
Link To Document :
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