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Classification and Representation Using Conjoint Data

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From Data to Knowledge

Summary

We present new approaches to the analysis of conjoint data. One part of this paper deals with classification, another with representation issues. Both parts start with an overview of available approaches and then introduce new approaches. A real-world application concerning the introduction of a new product in the European air freight market shows advantages of the presented approaches.

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Author information

Authors and Affiliations

  1. Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), Postfach 6980, D-76128, Karlsruhe, Germany

    D. Baier & W. Gaul

Authors
  1. D. Baier
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  2. W. Gaul
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Editor information

Editors and Affiliations

  1. Institut für Entscheidungstheorie und Unternehmensforschung, Universität Karlsruhe (TH), Postfach 6980, 76128, Karlsruhe, Germany

    Wolfgang Gaul

  2. FB6 (Mathematik), Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Germany

    Dietmar Pfeifer

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© 1996 Springer-Verlag Berlin · Heidelberg

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Baier, D., Gaul, W. (1996). Classification and Representation Using Conjoint Data. In: Gaul, W., Pfeifer, D. (eds) From Data to Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79999-0_30

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  • DOI: https://doi.org/10.1007/978-3-642-79999-0_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60354-2

  • Online ISBN: 978-3-642-79999-0

  • eBook Packages: Springer Book Archive

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