Linguistic knowledge base simplification regarding accuracy and interpretability
- Alonso, José M.
- Magdalena, Luis
- Guillaume, Serge
ISSN: 1134-5632
Year of publication: 2006
Volume: 13
Issue: 3
Pages: 203-2016
Type: Article
More publications in: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology
Abstract
This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good trade-off between them, as well as consistency of the final knowledge base. It is used with linguistic rules which can be defined by expert, induced by data, or both of them. The simplification process is applied to the well known wine classification problem. The results are encouraging.