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Fuzzy Logic Techniques in the Non-Life Insurance Industry

In: Intelligent And Other Computational Techniques In Insurance Theory and Applications

Author

Listed:
  • Raquel Caro Carretero

    (Departamento de Metodos Cuantitativos, Universidad Pontificia Comillas, Facultad de Ciencias Economicas, C/ Alberto Aguilera 23, 28015 Madrid, Spain)

Abstract

The following sections are included:Insurance MarketFuzzy Logic in InsuranceBasic Concepts in the Fuzzy Decision-Making ProcessesThe Two Fuzzy Non-Life Insurance ModelsBonus-Malus SystemThe DataThe Non-Life Insurance Model Based on Zimmermann's Linear Approach: a Symmetric ModelThe Non-Life Insurance Model Based on Verdegay's Approach: a Nonsymmetric ModelClosing Remarks about the Two ModelsSome ExtensionsClassificationThe Fuzzy c-Means AlgorithmThe Future of InsuranceAcknowledgmentsReferences

Suggested Citation

  • Raquel Caro Carretero, 2003. "Fuzzy Logic Techniques in the Non-Life Insurance Industry," World Scientific Book Chapters, in: A F Shapiro & L C Jain (ed.), Intelligent And Other Computational Techniques In Insurance Theory and Applications, chapter 6, pages 229-257, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812794246_0006
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    Cited by:

    1. Shapiro, Arnold F., 2004. "Fuzzy logic in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 35(2), pages 399-424, October.

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