Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)

Pre - risk Evaluation of Engineering Project Construction Based on Gray System Theory

Authors
Yu Miao
Corresponding Author
Yu Miao
Available Online July 2017.
DOI
10.2991/essaeme-17.2017.278How to use a DOI?
Keywords
Gray System Theory, Project Construction, Pre-Risk Assessment
Abstract

In the construction of construction projects, the method of risk assessment is mainly affected by human factors, which leads to the accuracy and objectivity of the evaluation results. In order to ensure the accuracy of the evaluation results and scientific factors to reduce the impact of human factors, this paper will be in the project the gray system theory is used to construct the multi - level evaluation model by quantitative calculation and qualitative analysis, and the validity of the model is proved by examples.

Copyright
© 2017, 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 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
10.2991/essaeme-17.2017.278
ISSN
2352-5398
DOI
10.2991/essaeme-17.2017.278How to use a DOI?
Copyright
© 2017, 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  - Yu Miao
PY  - 2017/07
DA  - 2017/07
TI  - Pre - risk Evaluation of Engineering Project Construction Based on Gray System Theory
BT  - Proceedings of the 2017 3rd International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2017)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/essaeme-17.2017.278
DO  - 10.2991/essaeme-17.2017.278
ID  - Miao2017/07
ER  -