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INICIO | 22 de febrero de 2024

Using fuzzy similarity relations to revise and update a knowledge base.

Título inglés Using fuzzy similarity relations to revise and update a knowledge base.
Título español Empleo de relaciones de semejanza difusas para revisar y actualizar una base de conocimiento.
Autor/es Rodríguez, Ricardo ; García, Pere ; Godo, Lluis
Organización Inst. Invest. Intel. Artif. (IIIA-CSIC), Bellaterra (Barcelona), España
Revista 1134-5632
Publicación 1996, 3 (3): 357-370, 7 Ref.
Tipo de documento articulo
Idioma Inglés
Resumen inglés Similarity-based models were first used by Ruspini to give semantics to fuzzy logic. In these models, incomplete information is represented by an evidential set, i.e. a set of possible worlds that are compatible with the evidence, together with a fuzzy similarity relation} on the set of possible worlds that allows to describe the resemblance of arbitrary subsets of worlds to those belonging to the evidencial set. On the other hand, the question addressed by theory change formalisms is which kind of modifications have to be performed to a knowledge base when adding (retracting) a new proposition to (from) that knowledge base. Revision and update are the two theory change operations which have received more attention in the literature. In this paper we study a connection between similarity-based models and theory change, coming from the fact that revision and updating operators have been characterized by Katsuno and Mendelson in terms of pre-order relations in a set of possible worlds. Pre-order relations arise in a natural way in the similarity-based models.
Clasificación UNESCO 120304 ; 110208
Palabras clave español Consistencia ; Operadores lógicos ; Medidas difusas ; Variables difusas ; Sistemas expertos ; Bases de conocimiento ; Semántica
Código MathReviews MR1489756
Código Z-Math Zbl 0859.68111
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Equipo DML-E
Instituto de Ciencias Matemáticas (ICMAT - CSIC)