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Parametric families of fuzzy consequence operators
dc.contributor.author | Elorza, Jorge |
dc.contributor.author | Burillo López, Pedro |
dc.date.accessioned | 2007-10-04T12:42:27Z |
dc.date.available | 2007-10-04T12:42:27Z |
dc.date.issued | 2004 |
dc.identifier.issn | 1134-5632 |
dc.identifier.uri | http://hdl.handle.net/2099/3639 |
dc.description.abstract | In a previous paper ([6]) we explored the notion of coherent fuzzy consequence operator. Since we did not know of any example in the literature of non-coherent fuzzy consequence operator, we also showed several families of such operators. It is well-known that the operator induced by a fuzzy preorder through Zadeh’s compositional rule is always a coherent fuzzy consequence operator. It is also known that the relation induced by a fuzzy consequence operator is a fuzzy preorder if such operator is coherent ([5]). The aim of this paper is to show a parametric family of non-coherent fuzzy consequence operators which induce a preorder and also a family of non-coherent fuzzy consequence operators which do not induce a preorder. These families of operators can be implemented through very simple algorithms. |
dc.format.extent | 83-91 |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica |
dc.relation.ispartof | Mathware & soft computing. 2004 Vol. 11 Núm. 2 |
dc.rights | Reconeixement-NoComercial-CompartirIgual 3.0 Espanya |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject.other | Fuzzy consequenze operators |
dc.title | Parametric families of fuzzy consequence operators |
dc.type | Article |
dc.subject.lemac | Intel·ligència artificial |
dc.subject.lemac | Lògica difusa |
dc.subject.ams | Classificació AMS::68 Computer science::68T Artificial intelligence |
dc.rights.access | Open Access |
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