Optimization design of effective management model of large construction project

DOI

10.2991/amcce-15.2015.321How to use a DOI?

Keywords

construction project; project management; mathematical model;

Abstract

in the management process of large construction projects, the related factors and the influenced parameters are various. A mathematical model of construction project management is complex, it is difficult to form effective project management measures. In the traditional architectural engineering project management model using the multiple linear regression model, the feature fusion result of construction projects is not ideal, it is difficult to form an effective management model. For this, a mathematical modeling method for management model of large scale construction project based on fuzzy assignment and rough set algorithm is proposed. Firstly, the parameters model affected construction project management is analyzed, to establish the project management system. Then, the analysis of large scale construction project and related influencing factor is the linear phase relationship, to get the mathematical model of rough set coupling characteristics in construction project. Finally, using fuzzy assignment and rough set algorithm achieve the improvement of the management mathematical model. Simulation results show that, using the proposed model for efficient management of construction engineering project, has good management performance, showing a good application value.

Copyright

© 2015, 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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TY  - CONF
AU  - Xiao-li Liu
PY  - 2015/04
DA  - 2015/04
TI  - Optimization design of effective management model of large construction project
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.321
DO  - 10.2991/amcce-15.2015.321
ID  - Liu2015/04
ER  -