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

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  • 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.

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  • 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
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