Issue |
E3S Web Conf.
Volume 38, 2018
2018 4th International Conference on Energy Materials and Environment Engineering (ICEMEE 2018)
|
|
---|---|---|
Article Number | 03016 | |
Number of page(s) | 6 | |
Section | Water Conservancy and Civil Engineering | |
DOI | https://doi.org/10.1051/e3sconf/20183803016 | |
Published online | 04 June 2018 |
Research on Bidding Decision-making of International Public-Private Partnership Projects
College of Management and Economic, Tianjin University, Tianjin 300072, China
* Corresponding author: Email: huzhenyugg@tju.edu.cn
In order to select the optimal quasi-bidding project for an investment enterprise, a bidding decision-making model for international PPP projects was established in this paper. Firstly, the literature frequency statistics method was adopted to screen out the bidding decision-making indexes, and accordingly the bidding decision-making index system for international PPP projects was constructed. Then, the group decision-making characteristic root method, the entropy weight method, and the optimization model based on least square method were used to set the decision-making index weights. The optimal quasi-bidding project was thus determined by calculating the consistent effect measure of each decision-making index value and the comprehensive effect measure of each quasi-bidding project. Finally, the bidding decision-making model for international PPP projects was further illustrated by a hypothetical case. This model can effectively serve as a theoretical foundation and technical support for the bidding decision-making of international PPP projects.
© The Authors, published by EDP Sciences, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.