DocumentCode :
2890270
Title :
Fuzzy Integrative Evaluation on Highway Construction Progress Risk
Author :
Xiaodong, Pan ; Xiang, Wang ; Zhen, Yang ; Haozhe, Cong
Author_Institution :
Key Lab. of Road & Traffic Eng. of the Minist. of Educ., Tongji Univ., Shanghai, China
fYear :
2009
fDate :
24-26 Nov. 2009
Firstpage :
588
Lastpage :
591
Abstract :
Highway construction progress risks not only influence the development of an enterprise, but also have a great impact on the national overall strength. This paper attempts to analyze construction progress risks of highway qualitatively and quantitatively from the perspective of theory and practice. The weight of each progress risk index could be obtained by using the analytic hierarchy process and entropy-weighted method, considering the expert´s credibility at the same time. Then the highway construction progress risk of overall highway project is analyzed by the fuzzy comprehensive evaluation theory, which can be used to assess highway construction progress risk objectively. The results show that it could improve the cognitive ability of risk management of highway engineering project construction.
Keywords :
construction industry; decision making; entropy; fuzzy set theory; project engineering; risk management; road building; analytic hierarchy process; entropy-weighted method; fuzzy comprehensive evaluation theory; fuzzy integrative evaluation; highway construction progress risk; highway engineering project construction; highway project; progress risk index; Cognition; Computer science education; Design engineering; Humans; Information technology; Risk analysis; Risk management; Road accidents; Road transportation; Uncertainty; analytic hierarchy process; construction progress risk; entropy-weighted method; experts´ credibility; fuzzy comprehensive evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5244-6
Electronic_ISBN :
978-0-7695-3896-9
Type :
conf
DOI :
10.1109/ICCIT.2009.54
Filename :
5367883
Link To Document :
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