Applications of fuzzy regression in actuarial analysis

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<dc:creator>Sánchez, Jorge de Andrés</dc:creator>
<dc:creator>Terceño Gómez, Antonio</dc:creator>
<dc:date>2003-12-01</dc:date>
<dc:description xml:lang="es">In this article, we propose several applications of fuzzy regression techniques for actuarial problems . Our main analysis is motivated, on the one hand , by the fact that several articles in the financial and actuarial literature suggest using fuzzy numbers to model interest rate uncertainty but do not explain how to quantify these rates with fuzzy numbers . Fuzzy regression is suitable for adjusting the TSIR and discuss how to apply a fuzzy TSIR when pricing life insurance contracts and property-liability policies  </dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/57302.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Tasas de interés</dc:subject>
<dc:subject xml:lang="es">Métodos actuariales</dc:subject>
<dc:subject xml:lang="es">Cálculo actuarial</dc:subject>
<dc:subject xml:lang="es">Matemática del seguro</dc:subject>
<dc:type xml:lang="es">Artículos y capítulos</dc:type>
<dc:title xml:lang="es">Applications of fuzzy regression in actuarial analysis</dc:title>
<dc:title xml:lang="es">Título: The Journal of risk and insurance</dc:title>
<dc:relation xml:lang="es">En: The Journal of risk and insurance. - Orlando. - Volume 70, number 4, December 2003 ;  p. 665-699</dc:relation>
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