IDEAS home Printed from https://ideas.repec.org/a/bdd/journl/v13y2019i1p37-58.html
   My bibliography  Save this article

Evaluation of Credit Card Platforms Using Intuitionistic Fuzzy TOPSIS Method

Author

Listed:
  • Bahadir Fatih YILDIRIM

Abstract

The increasing penetration and competition in the credit card market in Turkey has gained importance to efficiency. The long-term return back on investments has led banks to cooperate. As a result of the inter-bank cooperation, credit card brands have become platforms shared by multiple banks. In this study, 7 credit card platforms operating in Turkey were evaluated using the Intuitionistic Fuzzy TOPSIS method and ranked with a scoring based on expert opinion according to determined criteria. The results of the analysis were compared with the current market shares of credit card brands and the findings were consistent.

Suggested Citation

  • Bahadir Fatih YILDIRIM, 2019. "Evaluation of Credit Card Platforms Using Intuitionistic Fuzzy TOPSIS Method," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 13(1), pages 37-58.
    • Handle: RePEc:bdd:journl:v:13:y:2019:i:1:p:37-58
    as

    Download full text from publisher

    File URL: http://www.bddk.org.tr/Content/docs/bddkDergiEn/dergi_0025_04.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Intuitionistic Fuzzy; TOPSIS; Intuitionistic Fuzzy TOPSIS; Credit Card;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

    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:bdd:journl:v:13:y:2019:i:1:p:37-58. 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: Sumeyye Azize CENGIZ (email available below). General contact details of provider: https://edirc.repec.org/data/bddgvtr.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.