• DocumentCode
    3396553
  • Title

    The application of ISM in the commodity residential investment estimation

  • Author

    Wang, Chunjuan ; Xiao, Yuejun ; Zhao, Chunxiao

  • Author_Institution
    Project Manage. Inst., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    3
  • fYear
    2010
  • fDate
    9-10 Oct. 2010
  • Firstpage
    127
  • Lastpage
    130
  • Abstract
    The investment estimation of construction project is critical in the stage of feasibility study, the result directly impacts on investment decision-making, Aiming at insufficient scientific defects of the artificial neural network which is applied in selecting input vector, ISM (Interpretative Structural Model) would be applied to analysis the factor affecting commercial house cost, the levels of the influencing factors would be divided by the influencing grade to the cost of commercial houses so as to select a greater impact factors on the cost as the input vector, and make the application of artificial neural network in the investment estimates are more reliability.
  • Keywords
    construction; costing; decision making; investment; neural nets; project management; ISM application; artificial neural network; commercial house cost; commodity residential investment estimation; construction project; influencing grade; interpretative structural model; investment decision-making; Investments; RNA; Silicon; Investment Estimation; Project Management; interpretative structural model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on
  • Conference_Location
    Changzhou
  • Print_ISBN
    978-1-4244-9087-5
  • Type

    conf

  • DOI
    10.1109/FITME.2010.5655419
  • Filename
    5655419