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Título:
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Fuzzy classification systems.
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Autores:
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Amo, Ana del ;
Montero, Javier ;
Binging, Gregory ;
Cutello, V.
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Tipo de documento:
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texto impreso
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Editorial:
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Elsevier Science, 2004
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Informática: Inteligencia artificial
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Materia = Ciencias: Matemáticas: Lógica simbólica y matemática
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Tipo = Artículo
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Resumen:
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In this paper it is pointed out that a classification is always made taking into account all the available classes, i.e., by means of a classification system. The approach presented in this paper generalizes the classical definition of fuzzy partition as defined by Ruspini, which is now conceived as a quite often desirable objective that can be usually obtained only after a long learning process. In addition, our model allows the evaluation of the resulting classification, according to several indexes related to covering, relevance and overlapping.
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En línea:
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https://eprints.ucm.es/id/eprint/16678/1/Montero43.pdf
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