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Fuzzy logic in insurance

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  • Shapiro, Arnold F.

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  • Shapiro, Arnold F., 2004. "Fuzzy logic in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 399-424, October.
  • Handle: RePEc:eee:insuma:v:35:y:2004:i:2:p:399-424
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    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Lemaire, Jean, 1990. "Fuzzy Insurance," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 20(01), pages 33-55, April.
    3. Shapiro, Arnold F., 2002. "The merging of neural networks, fuzzy logic, and genetic algorithms," Insurance: Mathematics and Economics, Elsevier, vol. 31(1), pages 115-131, August.
    4. Mark Jablonowski, 1997. "Modeling Imperfect Knowledge In Risk Management And Insurance," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 1(1), pages 98-105, July.
    5. Jorge de Andrés Sánchez & Antonio Terceño Gómez, 2003. "Applications of Fuzzy Regression in Actuarial Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(4), pages 665-699.
    6. Mosmans, Alain & Praet, Jean-Claude & Dumont, Christophe, 2002. "A decision support system for the budgeting of the Belgian health care system," European Journal of Operational Research, Elsevier, vol. 139(2), pages 449-460, June.
    7. Rosaria Simonelli, Maria, 2001. "Fuzziness in valuing financial instruments by certainty equivalents," European Journal of Operational Research, Elsevier, vol. 135(2), pages 296-302, December.
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    Citations

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    Cited by:

    1. Lai, Li-Hua, 2008. "An evaluation of fuzzy transportation underwriting systematic risk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(9), pages 1231-1237, November.
    2. Belles-Sampera, Jaume & Merigó, José M. & Guillén, Montserrat & Santolino, Miguel, 2013. "The connection between distortion risk measures and ordered weighted averaging operators," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 411-420.
    3. Shapiro, Arnold F., 2009. "Fuzzy random variables," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 307-314, April.
    4. repec:eee:insuma:v:79:y:2018:i:c:p:101-106 is not listed on IDEAS
    5. de Andres-Sanchez, Jorge, 2007. "Claim reserving with fuzzy regression and Taylor's geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 40(1), pages 145-163, January.
    6. Sadefo Kamdem, J. & Mbairadjim Moussa, A. & Terraza, M., 2012. "Fuzzy risk adjusted performance measures: Application to hedge funds," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 702-712.
    7. Li-Hua Lai, 2006. "Underwriting profit margin of P/L insurance in the fuzzy-ICAPM," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 31(1), pages 23-34, July.
    8. Berry-Stölzle, Thomas R. & Koissi, Marie-Claire & Shapiro, Arnold F., 2010. "Detecting fuzzy relationships in regression models: The case of insurer solvency surveillance in Germany," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 554-567, June.
    9. Rachida Hennani & Michel Terraza, 2012. "Value-at-Risk stressée chaotique d’un portefeuille bancaire," Working Papers 12-23, LAMETA, Universitiy of Montpellier, revised Sep 2012.
    10. Tank, Fatih & Gebizlioglu, Omer L. & Apaydin, Aysen, 2006. "Determination of dependency parameter in joint distribution of dependent risks by fuzzy approach," Insurance: Mathematics and Economics, Elsevier, vol. 38(1), pages 189-194, February.
    11. David Opresnik & Maurizio Fiasché & Marco Taisch & Manuel Hirsch, 0. "An evolving fuzzy inference system for extraction of rule set for planning a product–service strategy," Information Technology and Management, Springer, vol. 0, pages 1-17.
    12. Apaydin, Aysen & Baser, Furkan, 2010. "Hybrid fuzzy least-squares regression analysis in claims reserving with geometric separation method," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 113-122, October.
    13. Koissi, Marie-Claire & Shapiro, Arnold F., 2006. "Fuzzy formulation of the Lee-Carter model for mortality forecasting," Insurance: Mathematics and Economics, Elsevier, vol. 39(3), pages 287-309, December.
    14. Biener, Christian, 2013. "Pricing in Microinsurance Markets," World Development, Elsevier, vol. 41(C), pages 132-144.
    15. Liu, Ying & Li, Xiaozhong & Liu, Yinli, 2015. "The bounds of premium and optimality of stop loss insurance under uncertain random environments," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 273-278.
    16. Daniela Ungureanu & Raluca Vernic, 2015. "On a fuzzy cash flow model with insurance applications," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(1), pages 39-54, April.
    17. Heberle, Jochen & Thomas, Anne, 2014. "Combining chain-ladder claims reserving with fuzzy numbers," Insurance: Mathematics and Economics, Elsevier, vol. 55(C), pages 96-104.
    18. Luukka, Pasi & Collan, Mikael, 2015. "New fuzzy insurance pricing method for giga-investment project insurance," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 22-29.
    19. de Andrés-Sánchez, Jorge & González-Vila Puchades, Laura, 2017. "The valuation of life contingencies: A symmetrical triangular fuzzy approximation," Insurance: Mathematics and Economics, Elsevier, vol. 72(C), pages 83-94.
    20. repec:eee:insuma:v:75:y:2017:i:c:p:189-202 is not listed on IDEAS
    21. Yao, Kai & Qin, Zhongfeng, 2015. "A modified insurance risk process with uncertainty," Insurance: Mathematics and Economics, Elsevier, vol. 62(C), pages 227-233.
    22. repec:spr:infotm:v:18:y:2017:i:2:d:10.1007_s10799-015-0242-4 is not listed on IDEAS

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