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Outlier detection of tender evaluation for construction Project
Tiexin Cheng,Yiwang Wang,Tao Guo 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
The Marking Scheme method is widely used in China for tender evaluation of construction projects, and this method incorporates construction experts’ personal knowledge and experience in selecting the suitable bidder. However, if the low scores of an contractor’s attributes given by experts are entirely removed when the overall score is calculated it may lead to that a contractor with some latent risks to the project will win the bid the project may not be executed and completed in accordance with the contract agreement in this paper, an outlier detection model, which is one of the methods of Knowledge discovery in data (KDD). based in similar coefficient sum was developed to address the aforementioned issue of the Marking Scheme method. early risk warning system of tender evaluation for construction projects based on this model was implemented. with this system the outliers could be found on the basis of the historical data of tender evaluation for the construction projects, according to which risk early warning could be carried out. Subsequently, an empirical survey was conducted in tianjin China, and the survey results confirmed that the proposed system could effectively detect latent risks. Finally, the paper provides suggestions to the employers could be presented to prevent some latent risks and help them increase th success fate of bidding projects
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