• DocumentCode
    501342
  • Title

    Notice of Retraction
    Comprehensive Evaluation Model of Real Estate Investment Based on Gray System Theory

  • Author

    Zhou Shujing ; Gao Tianbao ; Wu Chao

  • Author_Institution
    Coll. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    304
  • Lastpage
    308
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    In the multi-objective evaluation process for real estate investment, because of the uncertainty and incompleteness of evaluation information, deciding its gray. Therefore, the gray comprehensive evaluation based on gray system theory has feasibility. In this paper, we establish the gray comprehensive evaluation model of real estate investment according to the impact of real estate investment with hierarchy, by using multi-level gray theory. The example verifies that the model has practicality, effectiveness and objective rationality.
  • Keywords
    grey systems; investment; real estate data processing; gray comprehensive evaluation; gray system theory; information evaluation; multiobjective evaluation process; objective rationality; real estate investment; Chaos; Civil engineering; Decision making; Educational institutions; Information technology; Investments; Uncertainty; AHP; Real Estate; gray system theory; investment decision; whiten weight function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.396
  • Filename
    5231606