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Practical Applications of Fuzzy Technologies pp 531–553Cite as

Fuzzy Sets Methodologies in Actuarial Science

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Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 6))

Abstract

Actuarial science encompasses all types of quantifications of risks under conditions of uncertainty for the purpose of setting insurance premiums and reserves. Traditional actuarial methodologies have been built upon probabilistic models, and are often driven by stringent regulation of the insurance business. Deregulation and global competition of the last two decades have opened the door for new methodologies, among them being fuzzy methods. Here we present the uses of fuzzy sets in areas such as: underwriting, risk classification, interest rates, ratemaking, valuation of premium and taxes. We also discuss new opportunities for expanding fuzzy sets methodologies in actuarial science.

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Authors
  1. Richard A. Derrig
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  2. Krzysztof M. Ostaszewski
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Editor information

Editors and Affiliations

  1. Dept. of Operations Research, Aachen Institute of Technology, Templergraben 64, 52062, Aachen, Germany

    Hans-Jürgen Zimmermann

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© 1999 Springer Science+Business Media New York

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Derrig, R.A., Ostaszewski, K.M. (1999). Fuzzy Sets Methodologies in Actuarial Science. In: Zimmermann, HJ. (eds) Practical Applications of Fuzzy Technologies. The Handbooks of Fuzzy Sets Series, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4601-6_16

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  • DOI: https://doi.org/10.1007/978-1-4615-4601-6_16

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7079-6

  • Online ISBN: 978-1-4615-4601-6

  • eBook Packages: Springer Book Archive

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