Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Analysis of Project Cost Control Based on Information Entropy and Gray Correlation

Authors
Chunyan Wang, Ning Wei
Corresponding Author
Chunyan Wang
Available Online May 2014.
DOI
10.2991/lemcs-14.2014.140How to use a DOI?
Keywords
Project Cost; Grey Relational Analysis; Correlation; Information Entropy; Combination weights
Abstract

How to determine the impact and quantitative comparison of various factors on the project cost has been a management problem. Based on the analysis of the project life cycle and the key influencing factors analysis, this paper sets up a grey relation analysis evaluation model, and calculates the grey incidence coefficient of each single factor; At the same time, apply the entropy to determine the influence of factors on the impact of the project cost, and calculate the weighted grey correlation degree. Finally, through the empirical this paper analysis and compare these engineering cost factors which have an important influence on engineering cost control. This can provide decision basis for the future management.

Copyright
© 2014, 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 International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
10.2991/lemcs-14.2014.140How to use a DOI?
Copyright
© 2014, 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  - Chunyan Wang
AU  - Ning Wei
PY  - 2014/05
DA  - 2014/05
TI  - Analysis of Project Cost Control Based on Information Entropy and Gray Correlation
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 611
EP  - 614
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.140
DO  - 10.2991/lemcs-14.2014.140
ID  - Wang2014/05
ER  -