TAILIEUCHUNG - A hybrid of unsupervised learning and multi-criteria decision making approach for performance evaluation of Indian banks

In this context, the current study compares the performance of the selected private and public sector banks in India on a five year time horizon in order to discern any changes in the performance over a period of time. | A hybrid of unsupervised learning and multi-criteria decision making approach for performance evaluation of Indian banks Accounting 5 2019 169 184 Contents lists available at GrowingScience Accounting homepage ac A hybrid unsupervised learning and multi-criteria decision making approach for performance evaluation of Indian banks Soumendra Lahaa and Sanjib Biswasb aSt. Xavier s College Autonomous 30 Mother Teresa Sarani Kolkata 700016 India bCalcutta Business School Diamond Harbour Road Bishnupur 743503 24 Parganas South West Bengal India CHRONICLE ABSTRACT Article history Efficient and stable performance of the banking system underpins sustainable growth of any Received August 31 2018 economy. Of late several economic reforms have been initiated in India for facilitating growth Received in revised format and withstanding dynamics of global economy. In this context the current study compares the October 23 2018 performance of the selected private and public sector banks in India on a five year time horizon Accepted November 8 2018 Available online in order to discern any changes in the performance over a period of time. First the performance November 8 2018 of the selected banks are examined in terms of management efficiency perspective using a Multi- Keywords Criteria Decision Making MCDM technique such as Combinative Distance-based Assessment Multi-Criteria Decision Making CODAS when an Entropy method is also employed for determining criteria weight. The study MCDM also applies k-Means Clustering for checking consistency of performance based ranking with Entropy asset management efficiency. Finally the paper delves into the relationship between financial Combinative Distance-based and market performance. The study has found consistent results and observed private sector Assessment CODAS banks perform better than the public sector. k-Means Clustering Performance Indian Banks 2019 by the authors licensee Growing Science Canada 1. .

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