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Using Fuzzy Analytic Hierarchy Process and Technique for Order of Preference by Similarity to the Ideal Solution in Performance Evaluation in the Albanian Banking Sector

Author

Listed:
  • Arianit Peci

    (Department of Mathematics and Informatics, Faculty of Economics and Agribusiness, Agricultural University of Tirana, 1025 Tirana, Albania)

  • Blerina Dervishaj

    (Department of Finance and Accounting, Faculty of Economy, “Ismail Qemali” University of Vlora, 9400 Vlorë, Albania)

  • Adis Puška

    (Department of Public Safety, Government of Brčko District of Bosnia and Herzegovina, 76100 Brčko, Bosnia and Herzegovina)

Abstract

The banking sector plays a key role in the economic, social, and political development of a country. The study of the financial performance of banks is essential for investors, creditors, and other interested parties. The aim of this research was to rank the second-tier banks in Albania by financial performance using a fuzzy multi-criteria decision model (fuzzy MCDM). For the ranking of banks, eight financial criteria were taken into account during the years 2020, 2021, and 2022 for 11 banks in the Albanian banking sector. Based on the selected indicators, a decision-making model was created. The Fuzzy Analytic Hierarchy Process (FAHP) and the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS) methods were used in this research. The results of the FAHP method showed that the most important indicators are Equity and EBT. The results of the TOPSIS method showed that Banka Kombëtare Tregtare (BKT) had the best indicators for the observed years. The contribution of this research is in understanding the financial operations of banks in Albania.

Suggested Citation

  • Arianit Peci & Blerina Dervishaj & Adis Puška, 2025. "Using Fuzzy Analytic Hierarchy Process and Technique for Order of Preference by Similarity to the Ideal Solution in Performance Evaluation in the Albanian Banking Sector," JRFM, MDPI, vol. 18(3), pages 1-23, February.
  • Handle: RePEc:gam:jjrfmx:v:18:y:2025:i:3:p:116-:d:1598008
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    References listed on IDEAS

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    1. Mohammad Rezaei & Saeedeh Ketabi, 2016. "Ranking the Banks through Performance Evaluation by Integrating Fuzzy AHP and TOPSIS Methods: A Study of Iranian Private Banks," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 19-30, July.
    2. Mohammad Reza Hassanzadeh & Changiz Valmohammadi, 2021. "Evaluation and ranking of the banks and financial institutes using fuzzy AHP and TOPSIS techniques," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 40(3), pages 297-317.
    3. Pawan Kumar & Deergha Sharma, 2023. "Benchmarking the financial performance of Indian commercial banks by a hybrid MCDM approach," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 15(3), pages 285-309.
    4. Houssein Ballouk & Sami Ben Jabeur & Sabri Boubaker & Salma Mefteh-Wali, 2024. "The effect of social media on bank performance: an fsQCA approach," Electronic Commerce Research, Springer, vol. 24(1), pages 477-495, March.
    5. Ecer, Fatih & Pamucar, Dragan, 2022. "A novel LOPCOW‐DOBI multi‐criteria sustainability performance assessment methodology: An application in developing country banking sector," Omega, Elsevier, vol. 112(C).
    6. Phung Mai Lan & Nguyen Khac Minh & Pham Van Khanh & Nguyen Thien Luan, 2024. "The efficiency and the stability of efficiency rankings of Vietnamese commercial banks through mergers and acquisitions from 2008 to 2018," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 14(4), pages 581-604.
    7. C?Han Çaliko?Lu & Aleksandra ?Uczak, 2024. "Multidimensional assessment of sdi and hdi using topsis and bilinear ordering," International Journal of Economic Sciences, European Research Center, vol. 13(2), pages 116-128, December.
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