Method of least squares applied to the generalized modus ponens with interval-valued fuzzy sets

Agustench Cotilla, Eduard; Bustince Sola, Humberto Nicanor; Mohedano Salillas, Mª Victoria

dc.contributor.author	Agustench Cotilla, Eduard
dc.contributor.author	Bustince Sola, Humberto Nicanor
dc.contributor.author	Mohedano Salillas, Mª Victoria
dc.date.accessioned	2007-09-26T08:57:04Z
dc.date.available	2007-09-26T08:57:04Z
dc.date.issued	1999
dc.identifier.issn	1134-5632
dc.identifier.uri	http://hdl.handle.net/2099/3558
dc.description.abstract	Firstly we present a geometric interpretation of interval-valued fuzzy sets. Secondly, we apply the method of least squares to the fuzzy inference rules when working with these sets. We begin approximating the lower and upper extremes of the membership intervals to axb type functions by means of the method of least squares. Then we analyze a technique for evaluating the conclusion of the generalized modus ponens and we verify the fulfillment of Fukami and alumni axioms [9].
dc.format.extent	267-276
dc.language.iso	eng
dc.publisher	Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
dc.relation.ispartof	Mathware & soft computing . 1999 Vol. 6 Núm. 2 [ -3 ]
dc.rights	Reconeixement-NoComercial-CompartirIgual 3.0 Espanya
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other	Approximate reasoning
dc.subject.other	Fuzzy inference rules
dc.subject.other	Generalized modus ponens
dc.subject.other	Interval-valued fuzzy set
dc.subject.other	Method of least squares
dc.title	Method of least squares applied to the generalized modus ponens with interval-valued fuzzy sets
dc.type	Article
dc.subject.lemac	Intel·ligència artificial
dc.subject.ams	Classificació AMS::68 Computer science::68T Artificial intelligence
dc.rights.access	Open Access