Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks

Authors:
Fang-Mei Tseng;Yi-Chung Hu
Affiliations:
Department of International Business, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 32003, Taiwan, ROC;Department of Business Administration, Chung Yuan Christian University, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 16
Cited 7

Possibilistic linear systems and their application to the linear regression model

Fuzzy Sets and Systems
Structure identification of fuzzy model

Fuzzy Sets and Systems
Introduction to the theory of neural computation

Introduction to the theory of neural computation
Evaluation of fuzzy linear regression models

Fuzzy Sets and Systems
A Gaussian potential function network with hierarchically self-organizing learning

Neural Networks
A comparative analysis of inductive-learning algorithms

International Journal of Intelligent Systems in Accounting and Finance Management - Special issue on neural networks
Managerial applications of neural networks: the case of bank failure predictions

Management Science
Bankruptcy prediction using neural networks

Decision Support Systems - Special issue on neural networks for decision support
Artificial neural network representations for hierarchical preference structures

Computers and Operations Research
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neural networks in business: techniques and applications for the operations researcher

Computers and Operations Research - Neural networks in business
Fundamentals of Artificial Neural Networks

Fundamentals of Artificial Neural Networks
A fuzzy seasonal ARIMA model for forecasting

Fuzzy Sets and Systems - Information processing
Data Mining: Concepts and Techniques

Data Mining: Concepts and Techniques
Fast learning in networks of locally-tuned processing units

Neural Computation
Interval regression analysis by quadratic programming approach

IEEE Transactions on Fuzzy Systems

On sensitivity of case-based reasoning to optimal feature subsets in business failure prediction

Expert Systems with Applications: An International Journal
Predicting business failure using forward ranking-order case-based reasoning

Expert Systems with Applications: An International Journal
Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction

Expert Systems with Applications: An International Journal
Predicting business failure using support vector machines with straightforward wrapper: A re-sampling study

Expert Systems with Applications: An International Journal
Comparative analysis of data mining methods for bankruptcy prediction

Decision Support Systems
Forecasting corporate bankruptcy with an ensemble of classifiers

SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	12.06

Visualization

Abstract

Bankruptcy prediction is one of the major business classification problems. In this paper, we use four different techniques (1) logit model, (2) quadratic interval logit model, (3) backpropagation multi-layer perceptron (i.e., MLP), and (4) radial basis function network (i.e., RBFN) to predict bankrupt and non-bankrupt firms in England. The average hit ratio of four methods range from 91.15% to 77.05%. The original classification accuracy and the validation test results indicate that RBFN outperforms the other models.