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dc.contributor.authorAlonso, José M.
dc.contributor.authorMagdalena Layos, Luis
dc.contributor.authorGuillaume, Serge
dc.description.abstractThis 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.
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & Soft Computing. 2006, vol. 13, núm. 3
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.subject.otherLinguistic knowledge bases
dc.subject.otherInterpretability-accuracy trade-off
dc.subject.otherExpert and induced knowledge
dc.titleLinguistic knowledge base simplification regarding accuracy and interpretability
dc.subject.lemacIntel·ligència artificial
dc.subject.amsClassificació AMS::68 Computer science::68T Artificial intelligence
dc.rights.accessOpen Access

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