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Título:
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Aggregation tools for the evaluation of classifications
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Autores:
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Castiblanco, Fabian ;
Gomez, D. ;
Montero, Javier ;
Rodríguez, Juan Tinguaro
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Tipo de documento:
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texto impreso
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Editorial:
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IEEE, 2017
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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: Matemáticas: Lógica simbólica y matemática
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Tipo = Sección de libro
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Resumen:
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This paper focuses on key issues related to aggregation tools within knowledge acquisition, and in particular for image processing. In particular, it is claimed the need of a number of simultaneous indices in order to evaluate the quality of a fuzzy classification (e.g., overlapping, covering and relevance), and that such a family of indices should allow learning, giving a hint on how such a classification can be improved. Our guess is that those indices can be obtained from certain families of well-known aggregation tools.
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En línea:
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https://eprints.ucm.es/44889/1/Montero277.pdf
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