• DocumentCode
    3404948
  • 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
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    1033
  • Lastpage
    1037
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408015
  • Filename
    5408015