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Título:
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Rough Sets in insurance sector
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Autores:
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Segovia Vargas, María Jesús ;
Díaz Martínez, Zuleyka
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Tipo de documento:
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texto impreso
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Editorial:
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Nova Science Publishers, Inc., 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/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Estadística: Teoría de Juegos
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Materia = Ciencias Sociales: Economía: Finanzas
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Materia = Ciencias Sociales: Economía: Seguros
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Tipo = Sección de libro
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Resumen:
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Rough Set theory methodology belongs to the domain of Artificial Intelligence (AI) and has demonstrated a very high performance in financial issues, especially in classifying problems. Yet, there is little AI research devoted to the insurance industry, although it plays a growing and crucial role in modern economies. The present chapter shows three relevant rough sets researches in insurance sector concluding that this method is an effective tool for supporting managerial decision making in general, and for insurance sector in particular.
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En línea:
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https://eprints.ucm.es/58781/1/Segovia-Rough%20sets%28Postprin%29%28Cap.%20Lib.%29.pdf
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