Fuentes González, Ramón

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https://academica-e.unavarra.es/handle/2454/49041

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Fuentes González

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Ramón

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Automática y Computación

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0000-0002-2964-3865

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750423

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308

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1994 - 19983
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End date: 1999 ×

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Now showing 1 - 3 of 3
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    PublicationOpen Access
    On completeness and direction in fuzzy relational systems
    (Universitat Politècnica de Catalunya, 1998) Burillo López, Pedro; Fuentes González, Ramón; González, L.; Automática y Computación; Automatika eta Konputazioa
    The concepts of bounded subset, complete subset and directed subset, which are well known in the context of partially ordered sets (X, ≤), are extended in order to become applicable, with coherence, in fuzzy relational systems (X, R). The properties of these generalized structures are analyzed and operative examples of them are presented.
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    PublicationOpen Access
    Overtaker binary relations on complete completely distributive lattices related to the level sets of the L-fuzzy sets
    (Universitat Politècnica de Catalunya, 1994) Núñez, A.; Burillo López, Pedro; Fuentes González, Ramón; González, L.; Automática y Computación; Automatika eta Konputazioa
    The class of overtaker binary relations associated with the order in a lattice is defined and used to generalize the representations of L-fuzzy sets by means of level sets or fuzzy points.
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    PublicationOpen Access
    Concept lattices associated with interval-valued L-fuzzy contexts
    (Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 1995) Burusco Juandeaburre, Ana; Fuentes González, Ramón; Automática y Computación; Automatika eta Konputazioa
    In 1882 Wille published the paper titled Restructuring lattice theory: an approach based on hierarchies of concepts, where he developed a new theory called formal concept theory. In that paper he analyzes 0/1 relations between the object and attribute sets. Applying the L-fuzzy set theory to Wille’s results, we have developed the L-fuzzy concept theory dealing with L-fuzzy relations inside 0/1 relations. The final purpose of our theory is knowledge acquisition and classification. Taking as departure point the L-fuzzy concept theory, in this paper we study contexts defined by interval-valued L-fuzzy relations between the object and attribute sets. We give a new definition of L-fuzzy concept valid for this case and analyze the structure of the L-fuzzy concept set. We apply these results to a medical example.