IDEAS home Printed from https://ideas.repec.org/a/aag/wpaper/v27y2023i1p68-86.html
   My bibliography  Save this article

An Integrated Dynamic Generalized Trapezoidal Fuzzy AHP-TOPSIS Approach for Evaluating Sustainable Performance of Bank

Author

Listed:
  • Vu Thi Nhu Quynh

    (Vietnam Maritime University)

Abstract

[Purpose] The assessment of sustainable performance is critical in enhancing the bank’s competitive advantages. To evaluate sustainable banking performance, it is necessary to consider various economic, environmental, and social criteria. Therefore, sustainable banking performance assessment can be regarded as a multiple-criteria decision-making (MCDM) problem in a vague environment. This paper proposes a new MCDM approach to assess the sustainable performance of banks in Vietnam.[Design/methodology/approach] This study proposes a new integrated approach that combines the dynamic fuzzy Analytic Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) methods to evaluate the sustainable performance of banks in Vietnam. The proposed approach is demonstrated using an application to show its applicability and efficiency. [Findings] The findings reveal that the proposed integrated dynamic GTrF-AHP-TOPSIS approach is more efficient and effective than previous relevant studies. [Originality/value] The proposed approach utilizes generalized trapezoidal fuzzy numbers (GTrFNs) to represent the banks’ ratings and criteria weights. The dynamic GTrF-AHP approach is developed to determine the criteria weights over time. The banks’ ranking order is determined using a closeness coefficient that calculates the distance between the banks and the ideal/negative-ideal solutions.

Suggested Citation

  • Vu Thi Nhu Quynh, 2023. "An Integrated Dynamic Generalized Trapezoidal Fuzzy AHP-TOPSIS Approach for Evaluating Sustainable Performance of Bank," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(1), pages 68-86, March.
  • Handle: RePEc:aag:wpaper:v:27:y:2023:i:1:p:68-86
    as

    Download full text from publisher

    File URL: https://iads.site/an-integrated-dynamic-generalized-trapezoidal-fuzzy-ahp-topsis-approach-for-evaluating-sustainable-performance-of-bank/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Dynamic Fuzzy AHP; Dynamic Fuzzy TOPSIS; Generalized Trapezoidal Fuzzy Numbers; MCDM;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

    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:aag:wpaper:v:27:y:2023:i:1:p:68-86. 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: Vincent Pan (email available below). General contact details of provider: https://edirc.repec.org/data/dfasitw.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.