IDEAS home Printed from https://ideas.repec.org/p/afr/wpaper/afres2023-024.html
   My bibliography  Save this paper

An Investigation into the use of artificial intelligence in property valuations in Zambia

Author

Listed:
  • Christopher Mulenga
  • Joseph Phiri

Abstract

Real estate valuations, especially the case of mass valuation where statistical analysis methods are applied. New methods of determination of real estate value should be explored. Artificial omputerizat provides an alternative for the omputer applied method of multiple linear regressions. The omputerization of real estate values has been in existence since the 2000s with the consideration of various artificial intelligence techniques which include Artificial Neural Network, fuzzy logic, generic algorithm, and expert system. Since most properties comprise of both physical and economic characteristics which renders the conventional valuation methods cumbersome. In order to counter these challenges, soft computing techniques with higher data handling capabilities maybe an optimum choice.

Suggested Citation

  • Christopher Mulenga & Joseph Phiri, 2023. "An Investigation into the use of artificial intelligence in property valuations in Zambia," AfRES afres2023-024, African Real Estate Society (AfRES).
    • Handle: RePEc:afr:wpaper:afres2023-024
    as

    Download full text from publisher

    File URL: https://afres.architexturez.net/doc/oai-afres-id-afres2023-024
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Artificial Intelligence; Fuzzy Logic; multiple regressions; statistical techniques;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:afr:wpaper:afres2023-024. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Architexturez Imprints (email available below). General contact details of provider: https://edirc.repec.org/data/afresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.