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dc.contributor.authorBustince Sola, Humberto Nicanor
dc.contributor.authorCalderón, M.
dc.contributor.authorMohedano Salillas, Mª Victoria
dc.date.accessioned2007-09-19T09:48:58Z
dc.date.available2007-09-19T09:48:58Z
dc.date.issued1998
dc.identifier.issn1134-5632
dc.identifier.urihttp://hdl.handle.net/2099/3511
dc.description.abstractIn this paper, the method of least squares is applied to the fuzzy inference rules. We begin studying the conditions in which from a fuzzy set we can build another through the method of least squares. Then we apply this technique in order to evaluate the conclusions of the generalized modus ponens. We present different theorems and examples that demonstrate the fundamental advantages of the method studied.
dc.format.extent141-149
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartofMathware & soft computing . 1998 Vol. 5 Núm. 2 [ -3 ]
dc.rightsReconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.otherAproximate reasoning
dc.subject.otherFuzzy inference rules
dc.subject.otherGeneralized modus ponens
dc.subject.otherLeast squares model
dc.subject.otherFuzzy logic
dc.subject.otherPower function
dc.titleFuzzy inference using a least square model
dc.typeArticle
dc.subject.lemacLògica matemàtica
dc.subject.lemacLògica difusa
dc.subject.amsClassificació AMS::03 Mathematical logic and foundations::03B General logic
dc.rights.accessOpen Access


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