A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry

Ai Cheo Yeo, Kate Amanda Smith, Robert J Willis, Malcolm Brooks

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    Original languageEnglish
    Title of host publicationStudies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition
    EditorsLeon Reznik, Vladik Kreinovich
    Place of PublicationBerlin Germany
    PublisherSpringer-Verlag London Ltd.
    Pages249 - 261
    Number of pages13
    ISBN (Print)3540002464
    Publication statusPublished - 2003

    Cite this

    Yeo, A. C., Smith, K. A., Willis, R. J., & Brooks, M. (2003). A comparison of soft computing and traditional approaches for risk classification and claim cost prediction in the automobile insurance industry. In L. Reznik, & V. Kreinovich (Eds.), Studies in Fuzziness and Soft Computing: Soft Computing in Measurement and Information Acquisition (pp. 249 - 261). Springer-Verlag London Ltd..