Advances in Decision Sciences (ADS)

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

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

Title

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

Authors

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.

Keywords

Dynamic Fuzzy AHP, Dynamic Fuzzy TOPSIS, Generalized Trapezoidal Fuzzy Numbers, MCDM

Classification-JEL

D81, Q01

Pages

68-86

https://doi.org/10.47654/v27y2023i1p68-86

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