Title :
Grey relational grade decision model for selection of project delivery system
Author :
Huimin, Li ; Zhuofu, Wang
Author_Institution :
Inst. of Constr. Project Manage., Hohai Univ., Nanjing, China
Abstract :
A construction project is oftern facing various uncertainty environments, and the product of construction is very complexity. Selecting a project delivery system is a critical task, which determines the project schedule, quality and investment objectives. This study proposes a decision-making model for the selection of project delivery system which is based on information entropy and grey relational grade analysis. In order to overcome the subjective evaluations from the experts, the theory of `entropy weight´ is applied to modify the experts´ subjective weight. The multi-attribute grey relational grade decision-making is used to deal with the uncertainty information for selection of project delivery system. The application of the model in a real-world problem is provided. The methodology provides an effective way for the owners to select an appropriate delivery system for their project in the uncertainty condition.
Keywords :
computational complexity; decision making; investment; scheduling; grey relational grade analysis; information entropy; multiattribute grey relational grade decision-making; project delivery system; project schedule; Costs; Engineering management; Image analysis; Image sequence analysis; Predictive models; Project management; Regression analysis; Risk management; Scheduling; Uncertainty;
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
DOI :
10.1109/GSIS.2009.5408015