Parametric families of fuzzy consequence operators

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 preorde...

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Detalles Bibliográficos
Autores: Elorza, Jorge, Burillo López, Pedro
Tipo de recurso: artículo
Fecha de publicación:2004
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/3639
Acceso en línea:https://hdl.handle.net/2099/3639
Access Level:acceso abierto
Palabra clave:Fuzzy consequenze operators
Intel·ligència artificial
Lògica difusa
Classificació AMS::68 Computer science::68T Artificial intelligence
Descripción
Sumario: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.