Bankruptcy prediction using neural networks
Decision Support Systems - Special issue on neural networks for decision support
Using neural networks to determine Sugeno measures by statistics
Neural Networks
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration
Neural Processing Letters
Combining Classifiers with Meta Decision Trees
Machine Learning
Optimization-based feature selection with adaptive instance sampling
Computers and Operations Research
Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction
Journal of Management Information Systems - Special section: Data mining
Expert Systems with Applications: An International Journal
Fuzzy measures and integrals in evaluation of strategies
Information Sciences: an International Journal
Short communication: Data mining method for listed companies' financial distress prediction
Knowledge-Based Systems
Forecasting financial condition of Chinese listed companies based on support vector machine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
Expert Systems with Applications: An International Journal
BP neural network with rough set for short term load forecasting
Expert Systems with Applications: An International Journal
A selective ensemble based on expected probabilities for bankruptcy prediction
Expert Systems with Applications: An International Journal
Feature selection in bankruptcy prediction
Knowledge-Based Systems
Financial distress prediction based on serial combination of multiple classifiers
Expert Systems with Applications: An International Journal
A hybrid approach of DEA, rough set and support vector machines for business failure prediction
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy Classifier Design
Financial distress prediction based on similarity weighted voting CBR
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
An application of support vector machine to companies' financial distress prediction
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
| Hi-index | 12.05 |
Financial distress prediction (FDP) has always been an important issue in the business and financial management. This research proposed a novel multiple classifier ensemble model based on firm life cycle and Choquet integral for FDP, named MCELCCh-FDP, as a new approach to tackle with financial distress. Empirical study based on Chinese listed companies' real data is conducted, and the results show that the proposed MCELCCh-FDP model has higher prediction accuracy than single classifiers. In order to verify the prediction capability of firm life cycle and Choquet integral in FDP model, comparative analysis is conducted. The experiment results indicate that the introduction of firm life cycle and Choquet integral in FDP can greatly enhance prediction accuracy.