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Insurance Applications of Neural Networks, Fuzzy Logic, and Genetic Algorithms

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

Author

Listed:
  • Arnold F. Shapiro

    (Actuarial Science Program, Smeal College of Business, The Pennsylvania State University, University Park, PA 16802, USA)

Abstract

The insurance industry has numerous areas with potential applications for neural networks, fuzzy logic and genetic algorithms. Given this potential and the impetus on these technologies during the last decade, a number of studies have focused on insurance applications. This chapter presents an overview of these studies. The specific purposes of the chapter are twofold: first, to review the insurance applications of these technologies so as to document the unique characteristics of insurance as an application area; and second, to document the extent to which these technologies have been employed.

Suggested Citation

  • Arnold F. Shapiro, 2003. "Insurance Applications of Neural Networks, Fuzzy Logic, and Genetic Algorithms," World Scientific Book Chapters, in: A F Shapiro & L C Jain (ed.), Intelligent And Other Computational Techniques In Insurance Theory and Applications, chapter 1, pages 3-47, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812794246_0001
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