DocumentCode :
476048
Title :
International project bidding chance decision based on Grey comprehensive assessment
Author :
Cui, Dong-hong ; Wang, Ying
Author_Institution :
Dept. of Manage., Shenyang Univ. of Technol., Shenyang
Volume :
3
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
1288
Lastpage :
1292
Abstract :
Research on bidding chance decision is very important for construction corporation, especially the corporation which is taking apart in the international project. Unwisely bidding not only will cause loss of the company, but also affect the benefit after winning the tender and the companypsilas future development, even impact on the countrypsilas credit standing. This paper starts with the factors in International project bidding, determines the weights by using expert judgment and hierarchy analysis, and resolves the bidding chance decision with grey comprehensive assessment model according to most factors have grey characters, then particularly expounds the bidding decision process with one project example. On the basis of grey comprehensive assessment theory, the approach tries to reduce the subjectivity but enhance the practicability and maneuverability, provides an advantageous method for company making international project bidding chance decision.
Keywords :
decision making; grey systems; pricing; expert judgment; grey comprehensive assessment model; hierarchy analysis; international project; international project bidding chance decision; Artificial neural networks; Conference management; Cybernetics; Forward contracts; Machine learning; Mathematics; Project management; Technology management; Uncertainty; Virtual manufacturing; Bidding chance decision; Grey comprehensive assessment; Influence factors; International project;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620603
Filename :
4620603
Link To Document :
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