IDEAS home Printed from https://ideas.repec.org/a/spr/snopef/v6y2025i3d10.1007_s43069-025-00527-9.html
   My bibliography  Save this article

Enhancing Private Pension System Evaluation Using Fermatean Fuzzy Sets and Weighted Euclidean Distance Based Approach

Author

Listed:
  • Ayşegül Tuş

    (Pamukkale University)

  • Esra Aytaç Adalı

    (Pamukkale University)

Abstract

The private pension system (PPS), which is based on volunteerism, aims to guarantee the participants’ yield in their old age by leading them to long-term instruments and to increase the social life quality of them by creating an additional income to the retirement income provided by the social security system. However, the importance of criteria varies from person to person and cannot be measured precisely due to the uncertain conditions. Fermatean fuzzy sets (FFSs) can effectively handle the ambiguity. The proper company selection in PPS is also very crucial but it is complex because of many potential and similar alternatives. Weighted Euclidean Distance Based Approach (WEDBA) is based on the weighted distances of alternatives from the ideal and the anti-ideal points. The aim of this paper is to evaluate the companies operating in the PPS with WEDBA by using FFSs. The originality of this paper is that FFSs and WEDBA are used together for the first time in PPS. The paper’s results can support practitioners and analysts in evaluating companies in PPS. Also, the decision makers in the other environment can benefit from this paper.

Suggested Citation

  • Ayşegül Tuş & Esra Aytaç Adalı, 2025. "Enhancing Private Pension System Evaluation Using Fermatean Fuzzy Sets and Weighted Euclidean Distance Based Approach," SN Operations Research Forum, Springer, vol. 6(3), pages 1-27, September.
    • Handle: RePEc:spr:snopef:v:6:y:2025:i:3:d:10.1007_s43069-025-00527-9
    DOI: 10.1007/s43069-025-00527-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s43069-025-00527-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s43069-025-00527-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:snopef:v:6:y:2025:i:3:d:10.1007_s43069-025-00527-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.