Introduction to Grey system theory
The Journal of Grey System
A case-based approach using inductive indexing for corporate bond rating
Decision Support Systems - Decision-making and E-commerce systems
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
A Survey on Case-Based Planning
Artificial Intelligence Review
Neural network ensemble strategies for financial decision applications
Computers and Operations Research
Computers and Operations Research
Form design of product image using grey relational analysis and neural network models
Computers and Operations Research
Expert Systems with Applications: An International Journal
Classification tree analysis using TARGET
Computational Statistics & Data Analysis
Financial distress early warning based on group decision making
Computers and Operations Research
Developing a business failure prediction model via RST, GRA and CBR
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
Identification of interaction patterns and classification with applications to microarray data
Computational Statistics & Data Analysis
On some predictors of times to failure of censored items in progressively censored samples
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting
Information Sciences: an International Journal
Case-based reasoning support for liver disease diagnosis
Artificial Intelligence in Medicine
A novel CBR system for numeric prediction
Information Sciences: an International Journal
A novel fuzzy logic system based on N-version programming
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
An application of multi-criteria decision aids models for Case-Based Reasoning
Information Sciences: an International Journal
Relationships between covering-based rough sets and relation-based rough sets
Information Sciences: an International Journal
International Journal of Hybrid Intelligent Systems
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Predicting business failure is an important and challenging issue that has served as an impetus for many academic studies over the past three decades. This study aims at developing CBR-based hybrid models of predicting business failure. The need to supplement CBR (Case-Based Reasoning) with other classification and diagnosis techniques is triggered by the fact that accuracy and effectiveness tend to get reduced when CBR alone is applied to handle too many attributes. To enhance the accuracy of bankruptcy prediction, the hybrid models developed by this study include: RST-CBR (combining Rough Set Theory with CBR), RST-GRA-CBR (integrating RST, Grey Relational Analysis, and CBR), and CART-CBR (combining Classification and Regression Tree with CBR). In order to verify the ability of the proposed models to achieve optimal accuracy rate, this study further compares the predictive ability of CBR with those of other comparative models.