Abstract
The purpose of this paper is to classify the level of formation of the bid price by using the type of uncertainty inherent in the bid document as a variable. To this end, the research examined the factors of the project related to the bid price presented in the previous study. Next, the pre-bid clarification document, which can be used to check the uncertainty of the bid documents, is used as a surrogate variable. Through these input variables, this research implemented two kinds of models using four algorithms: one predicts the level of bid price with uncertainty of bid document and the other predicts the level of bid price without uncertainty of bid documents. As a result, the model that predicts the level of the bid price reflecting the uncertainty of the bid document shows about 24 percent better performance than the model that predicts the bid price without reflecting the uncertainty of the bid document.
Original language | English |
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Pages | 1245-1253 |
Number of pages | 9 |
State | Published - 2019 |
Event | 36th International Symposium on Automation and Robotics in Construction, ISARC 2019 - Banff, Canada Duration: 21 May 2019 → 24 May 2019 |
Conference
Conference | 36th International Symposium on Automation and Robotics in Construction, ISARC 2019 |
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Country/Territory | Canada |
City | Banff |
Period | 21/05/19 → 24/05/19 |
Bibliographical note
Publisher Copyright:© 2019 International Association for Automation and Robotics in Construction I.A.A.R.C. All rights reserved.
Keywords
- Bid Price Average
- Bid Price Range
- Bid Price Risk
- Bid Price Volatility
- Classification Model
- Machine Learning (ML)
- Pre-Bid Clarification
- Public Construction Project
- Risk Management
- Uncertainty of Bid Document