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Fuzzy post-retirement financial concepts: an exploratory study

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  • Arnold Shapiro

Abstract

This article presents preliminary observations from a study that investigates and models the fuzziness inherent in post-retirement financial concepts. The focus is on how fuzzy post-retirement concepts can be conceptualized and represented, and the goal is to give the reader a sense of the issues involved. The study begins with a brief overview of the conceptual aspects of fuzzy logic that are used in this article. This is followed by a description of the context of the study. We turn then to the conceptualization of some common fuzzy post-retirement concepts, and their related issues. The article ends with a comment on the scope of the study. Copyright Sapienza Università di Roma 2013

Suggested Citation

  • Arnold Shapiro, 2013. "Fuzzy post-retirement financial concepts: an exploratory study," METRON, Springer;Sapienza Università di Roma, vol. 71(3), pages 261-278, November.
  • Handle: RePEc:spr:metron:v:71:y:2013:i:3:p:261-278
    DOI: 10.1007/s40300-013-0028-6
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    References listed on IDEAS

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    1. Lemaire, Jean, 1990. "Fuzzy Insurance," ASTIN Bulletin, Cambridge University Press, vol. 20(1), pages 33-55, April.
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    4. Canner, Niko & Mankiw, N Gregory & Weil, David N, 1997. "An Asset Allocation Puzzle," American Economic Review, American Economic Association, vol. 87(1), pages 181-191, March.
    5. Shapiro, Arnold F., 2009. "Fuzzy random variables," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 307-314, April.
    6. Nozer D. Singpurwalla & Jane M. Booker, 2004. "Membership Functions and Probability Measures of Fuzzy Sets," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 867-877, January.
    7. Shapiro, Arnold F., 1990. "The parameters of a multiple criteria model of actuarial assumptions for pension plan valuations," Insurance: Mathematics and Economics, Elsevier, vol. 9(2-3), pages 197-206, September.
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