Research of Bid Evaluation Risk Analysis Model Based on Decision Tree

Abstract:

Human and objective factors in bid evaluation might bring some risks to the relevant project. Therefore, an evaluation results-oriented model is developed for analyzing the projects' risks. The risk analysis model analyzes bidders’ evaluation results data by adopting the C4.5 algorithm, and then conducts risk analysis based on statistical theory and classification rules of the decision tree. The experiment result shows that the model could correctly detect risk factors of the bid-winning enterprise, issue early warnings of the potential risks during the project implementation, and provide suggestions to cope with the risks.

• Periodical: Advanced Materials Research (Volumes 998-999)
• Pages: 1595-1600
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.998-999.1595
• Online since: July 2014
• Authors: Hui Kai Gao*, Lin Ying Xu, Cai Hong Li
• Keywords: Bid Evaluation, C4.5, Decision Tree, Risk Analysis Model, Risk early Warning

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DOI: 10.1109/qsic.2012.19