A Fuzzy Neural Network model for Bankruptcy Prediction

Article English OPEN
Sudarsanam, S. K. (2016)
  • Publisher: Journal of Engineering Computers & Applied Sciences
  • Journal: Journal of Engineering Computers & Applied Sciences (issn: 2319-5606, eissn: 2319-5606)
  • Subject: Computer Sciences | Fuzzy Logic, Neural Network, Neural Fuzzy Design Toolbox, MatLab 8.0, Fuzzy Controller, Rule Viewer, Image Viewer, Rule editor, Bankruptcy, Z-Score, Fuzzy Neural Network Model.

Prediction of Bankruptcy has been an important topic for central banks of many countries. Altman’s Z-score model is extremely popular ever since the introduction in 1968.The Altman’s Z-score model is a linear analysis of five ratios, which are all weighted objectively. The summation of the five ratios forms the Z-score. A comparative study of Z-Score model, K-nearest neighbour, ID3, Linear regression model and Neural network model proved that the Neural network model was better than other models. This paper aims to prove that the hybrid fuzzy neural network model works better than other models in bankruptcy prediction. 35
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