Abstract
Banks play a transitional role in offering customers financial services because they are an essential part of the financial system. Therefore, managers and stakeholders must value the banking industry and its operations. In order to analyse bank performance and efficiency, this study looks at the top five private banks’ relative performance in relation to pre-established criteria from 2019 to 2023. With the aid of AI and TOPSIS algorithms, this work attempts to present a reliable and simple-to-calculate mathematical model for assessing bank performance. According to the TOPSIS ranking of banks from best to worst, it can be determined that the bank with the highest mean score is among the top three banks overall for the time period. According to the analysis of the shareholding performance of these banks, all of them are vying for high performance in the banking industry.
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Mohan, N., Irfan, M. (2024). Applying AI & TOPSIS-MCDM Tool in Evaluating Top Five Private Indian Bank Performances. In: Irfan, M., Muhammad, K., Naifar, N., Khan, M.A. (eds) Applications of Block Chain technology and Artificial Intelligence. Financial Mathematics and Fintech. Springer, Cham. https://doi.org/10.1007/978-3-031-47324-1_15
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