IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789812810892_0005.html
   My bibliography  Save this book chapter

Hierarchical Classification In Insurance Data Analysis

In: Fuzzy Sets In Management, Economics And Marketing

Author

Listed:
  • NIKOS KOUTSOUPIAS

    (Department of Balkan Studies, Aristotle University of Thessaloniki, P.O.Box 21, 53100 Fiorina, Greece)

  • IOANNIS PAPADIMITRIOU

    (Department of Applied Informatics, Univ. of Macedonia, Thessaloniki, Greece and Egnatia 156 P.O.Box 1591, 54006 Thessaloniki, Greece)

Abstract

The private life insurance industry in Greece, as well as in the European region, is rapidly changing since it is challenged with new immigration, demographic and occupational circumstances. This paper is an attempt to demonstrate the use of Hierarchical Classification, a Statistical Multidimensional Data Analysis clustering method, implemented in a graphical environment using software built by the authors. The analysis of 1234 contracts based on 145 variables lead us into a collection of distinct, homogenous contract groups. We believe the method allows to efficiently obtain information about the portfolio picture of the life insurance company with no a piori assumptions and limitations.

Suggested Citation

  • Nikos Koutsoupias & Ioannis Papadimitriou, 2001. "Hierarchical Classification In Insurance Data Analysis," World Scientific Book Chapters, in: Constantin Zopounidis & Panos M Pardalos & George Baourakis (ed.), Fuzzy Sets In Management, Economics And Marketing, chapter 5, pages 69-81, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812810892_0005
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789812810892_0005
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789812810892_0005
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:wschap:9789812810892_0005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.