• DocumentCode
    3113906
  • Title

    The post evaluation of construction project based on dominance-based rough set and GRA

  • Author

    Lirong, Jian ; Sifeng, Liu

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1658
  • Lastpage
    1663
  • Abstract
    The post evaluation of construction projects is an important link of the whole project management. The indexes of post evaluation usually include preference information. In the paper, dominance-based rough set and grey relational analysis (GRA) are combined to apply to the process evaluation in the post evaluation of construction projects, and a formal and effective method of post evaluation is proposed. Preferential decision models are induced from the decision tables with preferential information. The effectiveness of the results demonstrates that the inferring preference model is close to the natural reasoning of decision makers, and is comprehensible. The preferential rules derived from examples can provide decision suggestion for the post evaluation of the construction project. Moreover, the relative importance for reduced attributes is wholly compared by grey relational degree, which provide basis with further analysis, such as setting weight and making mathematic models.
  • Keywords
    construction industry; decision making; grey systems; project management; rough set theory; construction project management; decision making; dominance-based rough set theory; grey relational analysis; mathematic model; process evaluation; Financial management; Health and safety; Investments; Mathematical model; Mathematics; Product safety; Production; Project management; Rough sets; Testing; dominance-based rough set; grey relational analysis; preference attribute decision tables; the post evaluation of construction project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811526
  • Filename
    4811526