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Fuzzy inference using a least square model
dc.contributor.author | Bustince Sola, Humberto Nicanor |
dc.contributor.author | Calderón, M. |
dc.contributor.author | Mohedano Salillas, Mª Victoria |
dc.date.accessioned | 2007-09-19T09:48:58Z |
dc.date.available | 2007-09-19T09:48:58Z |
dc.date.issued | 1998 |
dc.identifier.issn | 1134-5632 |
dc.identifier.uri | http://hdl.handle.net/2099/3511 |
dc.description.abstract | In 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.extent | 141-149 |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica |
dc.relation.ispartof | Mathware & soft computing . 1998 Vol. 5 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 | Aproximate reasoning |
dc.subject.other | Fuzzy inference rules |
dc.subject.other | Generalized modus ponens |
dc.subject.other | Least squares model |
dc.subject.other | Fuzzy logic |
dc.subject.other | Power function |
dc.title | Fuzzy inference using a least square model |
dc.type | Article |
dc.subject.lemac | Lògica matemàtica |
dc.subject.lemac | Lògica difusa |
dc.subject.ams | Classificació AMS::03 Mathematical logic and foundations::03B General logic |
dc.rights.access | Open Access |
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Aquest ítem apareix a les col·leccions següents
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1998, Vol. V, Núm. 2-3 [21]
ESTYLF'96, ESTYLF'97