Bank failure prediction using an accurate and interpretable neural fuzzy inference system

• Main Authors: Wang, Di, Ng, Geok See, Quek, Chai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering; Bank Failure Prediction; Automatic Forecasting
• Online Access: https://hdl.handle.net/10356/89642; http://hdl.handle.net/10220/47108
• Institution: Nanyang Technological University

Bank failure prediction is an important study for regulators in the banking industry because the failure of a bank leads to devastating consequences. If bank failures are correctly predicted, early warnings can be sent to the responsible authorities for precaution purposes. Therefore, a reliable ban...