A survey of knowledge acquisition techniques and their relevance to managerial problem domains
Decision Support Systems
The fuzzy systems handbook: a practitioner's guide to building, using, and maintaining fuzzy systems
The fuzzy systems handbook: a practitioner's guide to building, using, and maintaining fuzzy systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Intention Reconsideration Reconsidered
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
Formalizing Properties of Agents
Formalizing Properties of Agents
Decision-Making of BDI Agents, a Fuzzy Approach
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Applied Artificial Intelligence
Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
R-AIMS: a reactive multi-agent system-based incident/emergency management system
International Journal of Computational Intelligence Studies
Hi-index | 12.05 |
The financial system, which has been investigated by various researchers, is a rather complicated environment. Most research has only been concerned with quantitative factors (technical indexes), though qualitative factors (e.g., political situation, social conditions, international events, government policies, among others) play a critical role in the financial system environment, determining the regulatory policies within an economy. This paper presents a fuzzy knowledge-based model to measure the qualitative aspects related to one of the most important financial instruments used to regulate an economy, the base interest rate. The development and assessment of the proposed model was based on the Brazilian economy. Evaluation of the results obtained indicates that our approach gives good results when compared with real data and statistical-based forecasting tools. The main advantage of our approach is its capability to forecast long term interest rate expectations when combined with a powerful econometric model.