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Título:
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Fuzzy dissimilarity-based classification for disaster initial assessment
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Autores:
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Rodríguez, Juan Tinguaro ;
Vitoriano, Begoña ;
Montero, Javier
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Tipo de documento:
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texto impreso
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Editorial:
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Atlantis Press, 2013-08
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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/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Investigación operativa
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Tipo = Sección de libro
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Resumen:
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A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in which the set of classes presents a relevant structure. This paper proposes the consideration of a dissimilarity operator in order to introduce such a structure in the classifier's learning and reasoning procedures, leading to an improvement in the classifiers adaptation to the disaster management context features and decision making requirements.
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En línea:
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https://eprints.ucm.es/id/eprint/24126/1/Vitoriano250.pdf
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