Show simple item record

dc.contributor.authorAlonso, José M.
dc.contributor.authorMagdalena Layos, Luis
dc.contributor.authorGuillaume, Serge
dc.date.accessioned2007-10-09T11:54:34Z
dc.date.available2007-10-09T11:54:34Z
dc.date.issued2006
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/3662
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.format.extent203-216
dc.language.isoeng
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.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherSimplification
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.typeArticle
dc.subject.lemacIntel·ligència artificial
dc.subject.amsClassificació AMS::68 Computer science::68T Artificial intelligence
dc.rights.accessOpen Access


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain