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- Publisher
- Springer Journals
- Copyright
- Copyright © 2011 by Springer Science+Business Media B.V.
- Subject
- Computer Science; Computer Science, general; Artificial Intelligence (incl. Robotics)
- ISSN
- 0269-2821
- eISSN
- 1573-7462
- DOI
- 10.1007/s10462-011-9215-0
- Publisher site
- See Article on Publisher Site
Abstract
Prediction models based on artificial intelligence techniques have been widely used in Time Series Forecasting in several areas. They are often fuzzy models or neural networks. However, the use of rough sets based models have not yet been explored. The aim of this work is to introduce a new approach which uses rough set concepts to obtain rule-based models capable to perform time series forecasting.
Journal
Artificial Intelligence Review – Springer Journals
Published: May 6, 2011