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
Fusing Neural Networks Through Space Partitioning and Fuzzy Integration
Neural Processing Letters
Combining Classifiers with Meta Decision Trees
Machine Learning
Combination of multiple classifiers for the customer's purchase behavior prediction
Decision Support Systems - Special issue: Agents and e-commerce business models
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
Using neural network ensembles for bankruptcy prediction and credit scoring
Expert Systems with Applications: An International Journal
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
Using neural networks and data mining techniques for the financial distress prediction model
Expert Systems with Applications: An International Journal
A selective ensemble based on expected probabilities for bankruptcy prediction
Expert Systems with Applications: An International Journal
Financial distress prediction based on serial combination of multiple classifiers
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
Adaptive classifier integration for robust pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy Sets and Systems
Hi-index | 12.08 |
Financial distress prediction methods based on combination classifier become a rising trend in this field. This paper applies Choquet integral to ensemble single classifiers and proposes a Choquet integral-based combination classifier for financial distress early warning. Also, as the conditions between training and pattern recognition cannot be completely consistent, so this paper proposes an adaptive fuzzy measure by using the dynamic information in the single classifier pattern recognition results which is more reasonable than the static prior fuzzy density. Finally, a comparative analysis based on Chinese listed companies' real data is conducted to verify prediction accuracy and stability of the combination classifier. The experiment results indicate that financial distress prediction using Choquet integral-based combination classifier has higher average accuracy and stability than single classifiers.