The application of PCA-fuzzy probability analysis on risk evaluation of construction schedule of highway

Author(s):  
Liming Xia ◽  
Chunxue Zhao
2011 ◽  
Vol 368-373 ◽  
pp. 3180-3183
Author(s):  
Zhang Jun Liu ◽  
Ya Kong

In the present paper, the fuzzy probability method is applied to assess the risk of international engineering project. Firstly, According to the risk from the whole cycle of international engineering project, The influential factors of the project bidding risk assessment are analyzed. The risk of international engineering project is divided into four parts, such as national risk, industrial risk, involved parties risk and project’s risk, and an assessment index system of international project risk is constructed. Secondly, based on the fuzzy probability method, a new model of the risk assessment for international engineering project is developed. In order to assess index weighted value scientifically, the analytical hierarchy process (AHP) is introduced into the fuzzy weighted values. Finally, the validity and rationality of the risk evaluation for international engineering project is verified through the risk instance of a project.


2013 ◽  
Vol 838-841 ◽  
pp. 259-264
Author(s):  
Huan Yuan ◽  
Xiao Jie Wang ◽  
Yu Chuan Yan

In the engineering project in Contemporary, Rapid construction is an advanced managing concept which core is fast. On the basis of the fuzzy risk, risk degree and fuzzy probability and risk analysis, this paper analyze the factors affecting rapid construction, and with different construction project factors fuzzy risk evaluation set is established. From the Angle of quantitative the risk analysis of hydraulic engineering in the influencing factors of construction schedule. On the impact of factors on construction schedule to different schemes are obtained quantitative values. We can choose the optimum construction scheme reduces risk.


2008 ◽  
Vol 149 (15) ◽  
pp. 675-676
Author(s):  
János Fehér ◽  
Imre Horváth

CIM Journal ◽  
2016 ◽  
Vol 7 (1) ◽  
pp. 7-12
Author(s):  
J. Jakubec ◽  
R. Clayton ◽  
A. R. Guest
Keyword(s):  

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