Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)

Bid Evaluation Model of Construction Projects Based on Information Entropy and Value Engineering

Authors
Sothea Peng, Xue Ying Bao
Corresponding Author
Sothea Peng
Available Online July 2017.
DOI
https://doi.org/10.2991/iccte-17.2017.29How to use a DOI?
Keywords
value engineering; evaluation; information entropy
Abstract

At present, it has many bid evaluation of construction units that mainly rely on an expert scoring method to determine the successful bidder. That is the reason why the evaluation process has a great subjective. Thus this paper wants to propose a comprehensive evaluation model by combining entropy method and value engineering evaluation method, which can avoid the subjective evaluation process that mainly relies on the expert scoring method, to do an evaluation. The evaluation process is more rational and its result is more impartial; moreover, every tender unit is believable.

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 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-353-1
ISSN
2352-5401
DOI
https://doi.org/10.2991/iccte-17.2017.29How 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  - Sothea Peng
AU  - Xue Ying Bao
PY  - 2017/07
DA  - 2017/07
TI  - Bid Evaluation Model of Construction Projects Based on Information Entropy and Value Engineering
BT  - Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
PB  - Atlantis Press
SP  - 168
EP  - 174
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-17.2017.29
DO  - https://doi.org/10.2991/iccte-17.2017.29
ID  - Peng2017/07
ER  -