N.E.W.S. A model for the evaluation of non-life insurance companies

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    Abstract

    This paper describes a model which can be used by the Dutch insurance supervisor to determine the priority a nan-life insurer should have for further examination. This model combines a traditional statistical technique (an ordered legit model) with artificial intelligence techniques (a neural network and an expert system). The output of the model consists of the priority for further examination (high, medium, or low), and a report which summarizes the main findings of the model. The model was able to adequately classify 93% of the companies in a 1993 data set. (C) 1997 Elsevier Science B.V.

    Original languageEnglish
    Pages (from-to)419-430
    Number of pages12
    JournalEuropean Journal of Operational Research
    Volume98
    Issue number2
    DOIs
    Publication statusPublished - 16-Apr-1997

    Keywords

    • expert systems
    • neural networks
    • multivariate statistics
    • risk analysis
    • NEURAL NETWORKS
    • INDUSTRY

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