• DocumentCode
    2294664
  • Title

    The research on real estate market comparison decision-making support system valuation model library

  • Author

    Liu, Xiaosheng ; Wang, Tingli ; Li, Hengkai

  • Author_Institution
    Sch. of Archit. & Survey Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    4358
  • Lastpage
    4361
  • Abstract
    This text studies the real estate market comparison approach decision-making support system model library, including the residential real estate transaction case selecting models, the main characteristics factors determine model, the characteristics factors membership grade model, regional analysis model, the transaction date correction model; and uses the Windows for the operating system and ARCGIS9.2 as a basic geographic information system platform, sets up real estate valuation model library in the real estate market comparison approach decision-making support system with a city of urban basic geographic data as the test basic data, using C # 2005 + ArcObjects. Application practice shows that the valuation model has a higher credibility.
  • Keywords
    decision making; decision support systems; real estate data processing; transaction processing; C # 2005 + ArcObjects; characteristics factors membership grade model; decision making support system model library; geographic information system; operating system; real estate market comparison; real estate valuation model library; regional analysis model; transaction date correction model; urban geographic data; valuation model library; Analytical models; Appraisal; Biological system modeling; Cost accounting; Data models; Decision making; Geographic Information Systems; decision-making system; market comparison method; model; valuation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583587
  • Filename
    5583587