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Applications of fuzzy regression in actuarial analysis

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<title>Applications of fuzzy regression in actuarial analysis</title>
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<title>The Journal of risk and insurance</title>
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<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080341923">
<namePart>Sánchez, Jorge de Andrés</namePart>
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<namePart>Terceño Gómez, Antonio</namePart>
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<dateIssued encoding="marc">2003</dateIssued>
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<abstract>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  </abstract>
<note type="statement of responsibility">Jorge de Andrés Sánchez, Antonio Terceño Gómez</note>
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<topic>Tasas de interés</topic>
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<topic>Métodos actuariales</topic>
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<topic>Cálculo actuarial</topic>
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<topic>Matemática del seguro</topic>
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<title>The Journal of risk and insurance</title>
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<publisher>Orlando</publisher>
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<identifier type="local">MAP20077000727</identifier>
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<text>Volume 70, number 4, December 2003 ;  p. 665-699</text>
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