• DocumentCode
    2400960
  • Title

    Research on Diagnosis Indexes for Analyzing Implementation Status in Engineering Projects

  • Author

    Xueliang, Hou

  • Author_Institution
    Dept. of Constr. Manage., North China Electr. Power Univ., Beijing, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    4363
  • Lastpage
    4366
  • Abstract
    The actuality of constructions management in China is investigated. All main problem phenomena in engineering projects could be divided into 20 categories and 261 sub-categories. On the help of diagnosis thoughts in other science subjects, the characteristics of problem phenomena and their parameters are refined and determined by means of information reduction in rough set. 113 diagnosis indexes are educed by the mapping principle of set theory from these parameters. The weights of 113 indexes are determined according to the judgment of 65 project management specialists; and the diagnosis index system of engineering projects is set up. The research result proves that the idea of diagnosis can be used to identify and analyze problems in engineering project management efficiently.
  • Keywords
    PERT; construction industry; project management; rough set theory; construction management; engineering projects; information reduction; project diagnosis indexes; project implementation status; project management; rough set theory; Approximation methods; Artificial intelligence; Bismuth; Construction industry; Indexes; Project management; Set theory; character; diagnosis; engineering project; index; parameter; problems phenomena; rough set; status;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.1096
  • Filename
    5590884