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: 23195606, eissn: 23195606)

Subject:
Computer Sciences  Fuzzy Logic, Neural Network, Neural Fuzzy Design Toolbox, MatLab 8.0, Fuzzy Controller, Rule Viewer, Image Viewer, Rule editor, Bankruptcy, ZScore, Fuzzy Neural Network Model.
Prediction of Bankruptcy has been an important topic for central banks of many countries. Altman’s Zscore model is extremely popular ever since the introduction in 1968.The Altman’s Zscore model is a linear analysis of ﬁve ratios, which are all weighted objectively. The summation of the ﬁve ratios forms the Zscore. A comparative study of ZScore model, Knearest 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