Rough Sets in insurance sector
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...
| Autores: | , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/19551 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/19551 |
| Access Level: | acceso abierto |
| Palabra clave: | Insurance Finance Artificial Intelligence. Teoría de Juegos Finanzas Seguros 1207.06 Teoría de Juegos 5304.05 Seguros |
| Sumario: | 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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