Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science

Research on the risk of PFI model of endowment real estate based on Bayesian network

Authors
Xiang-hong Fang, Zhan-sHe Yang
Corresponding Author
Xiang-hong Fang
Available Online December 2015.
DOI
10.2991/icemaess-15.2016.294How to use a DOI?
Keywords
Real estate, PFI model, Bayesian Network, risk Analysis.
Abstract

The problem of the aging of population in China has gradually emerged. In the process of solving this problem, financing is an important factor to restrict the development of the real estate. Based on the use of PFI model building of endowment real estate, this paper will using the Bayesian Network to build a model of risk assessment through the identification of their risks. This method constructs the risk topology model by identifying the risk factors and the relationship among the risk factors. We’ll use Bias's forward reasoning technology to predict the risk possibility and use the inverse diagnostic reasoning analyze identified risk factors when the risk happened. The application of this method has certain guidance.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2015
ISBN
10.2991/icemaess-15.2016.294
ISSN
2352-5398
DOI
10.2991/icemaess-15.2016.294How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiang-hong Fang
AU  - Zhan-sHe Yang
PY  - 2015/12
DA  - 2015/12
TI  - Research on the risk of PFI model of endowment real estate based on Bayesian network
BT  - Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
PB  - Atlantis Press
SP  - 1432
EP  - 1436
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-15.2016.294
DO  - 10.2991/icemaess-15.2016.294
ID  - Fang2015/12
ER  -