IDEAS home Printed from https://ideas.repec.org/a/igg/jfsa00/v11y2022i1p1-22.html
   My bibliography  Save this article

Evaluation of an Apartment Selection Model by Integrating Fuzzy AHP and Fuzzy TOPSIS

Author

Listed:
  • Manh Hien Luc

    (University of Labour and Social Affairs, Vietnam)

  • Quang Vinh Nguyen

    (University of Labour and Social Affairs, Vietnam)

  • Quang Hung Do

    (University of Transport Technology, Vietnam)

  • Tran Van Trang

    (Thuongmai University, Vietnam)

Abstract

The objective of this study is to evaluate the dimensions in an apartment selection model by integrating fuzzy AHP and fuzzy TOPSIS methods. From the steps of fuzzy AHP and fuzzy TOPSIS, the study explores that the most important dimensions in the apartment selection model are the design and quality of the apartment. Moreover, the landscape environment, security, and people's intellect, and selling price are three dimensions ranked as the second group of important factors. The third ranking group of important dimensions are apartment location, utility service, and transportation convenience. Finally, the less important dimension is investor brand. In addition, this study result shows that Vin group investors have the highest satisfaction degree value and the lowest gap degree, with the second being the FLC group and the third being the Nam Cuong group. Discussions, conclusions, limitations of the study, and suggestions for future studies are also included in this study.

Suggested Citation

  • Manh Hien Luc & Quang Vinh Nguyen & Quang Hung Do & Tran Van Trang, 2022. "Evaluation of an Apartment Selection Model by Integrating Fuzzy AHP and Fuzzy TOPSIS," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 11(1), pages 1-22, January.
  • Handle: RePEc:igg:jfsa00:v:11:y:2022:i:1:p:1-22
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.313964
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jfsa00:v:11:y:2022:i:1:p:1-22. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.