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Rough Sets in insurance sector

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dc.book.titleMathematical research summaries
dc.contributor.authorSegovia Vargas, María Jesús
dc.contributor.authorDíaz Martínez, Zuleyka
dc.date.accessioned2023-06-18T00:25:45Z
dc.date.available2023-06-18T00:25:45Z
dc.date.issued2017
dc.description.abstractRough 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.
dc.description.departmentDepto. de Economía Financiera y Actuarial y Estadística
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/58781
dc.identifier.isbn978-1536120226
dc.identifier.urihttps://hdl.handle.net/20.500.14352/19551
dc.language.isoeng
dc.page.initial35
dc.page.total350
dc.publication.placeHauppauge, Nueva York
dc.publisherNova Science Publishers, Inc.
dc.relation.ispartofseriesAdvances in Mathematics Resear
dc.rights.accessRightsopen access
dc.subject.keywordInsurance
dc.subject.keywordFinance
dc.subject.keywordArtificial Intelligence.
dc.subject.ucmTeoría de Juegos
dc.subject.ucmFinanzas
dc.subject.ucmSeguros
dc.subject.unesco1207.06 Teoría de Juegos
dc.subject.unesco5304.05 Seguros
dc.titleRough Sets in insurance sector
dc.typebook part
dc.volume.number2-1
dspace.entity.typePublication
relation.isAuthorOfPublication44aad0f9-4f64-46ee-a6b7-e9a317fa42fd
relation.isAuthorOfPublication.latestForDiscovery44aad0f9-4f64-46ee-a6b7-e9a317fa42fd

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