Communications of the ACM
On the use of knowledge-based decision support systems in financial management: a survey
Decision Support Systems
Neural network applications in finance: a review and analysis of literature (1990-1996)
Information and Management
A decision-support system for business acquisitions
Decision Support Systems
A case-based approach using inductive indexing for corporate bond rating
Decision Support Systems - Decision-making and E-commerce systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
A Case Study of Case-Based CBR
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Survival Analysis Methods for Personal Loan Data
Operations Research
A comparative assessment of classification methods
Decision Support Systems
Decision Support Systems - Special issue: Data mining for financial decision making
Financial market monitoring by case-based reasoning
Expert Systems with Applications: An International Journal
Application of support vector machines to corporate credit rating prediction
Expert Systems with Applications: An International Journal
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Expert Systems with Applications: An International Journal
A study of Taiwan's issuer credit rating systems using support vector machines
Expert Systems with Applications: An International Journal
The evaluation of consumer loans using support vector machines
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Financial Forecasting of Invoicing and Cash Inflow Processes for Fair Exhibitions
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Business failure prediction using hybrid2 case-based reasoning (H2CBR)
Computers and Operations Research
A CBR System for Knowing the Relationship between Flexibility and Operations Strategy
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
A fuzzy expert system for business management
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An integrated case-based reasoning and MCDM system for Web based tourism destination planning
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Using homogeneous groupings in portfolio management
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Empirical models based on features ranking techniques for corporate financial distress prediction
Computers & Mathematics with Applications
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
International Journal of Intelligent Systems in Accounting and Finance Management
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
Hi-index | 12.06 |
Predicting financial activity through examining the short-term liquidity is crucial within today's turbulent financial environment. Firms, governments, and individuals all need an effective methodology based on liquidity information that plays performance deterioration warning a priori bankruptcy prediction. In this paper, we propose a hybrid decision model using case-based reasoning augmented with genetic algorithms (GAs) and the fuzzy k nearest neighbor (fuzzy k-NN) methods for predicting the financial activity rate. GAs are used to determine the optimal or near-optimal weight vector of financial features expressed in linguistic values by the expert. A fuzzy k-NN-based CBR scheme is designed to compute memberships of financial activity rates and to provide a more flexible and practical mechanism for acquiring, creating, and reusing the expert's decision knowledge. An empirical experimentation using 746 publicly traded Taiwanese firms shows that the average accuracy of the rating is about 92.36%, which is superior to other related models. The proposed approach not only can lend support to the decision of an expert, but also allow proper feedback for the expert to improve the quality of the decision.