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Classification and Representation Using Conjoint Data

  • D. Baier
  • W. Gaul
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

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.

Keywords

Ideal Point Conjoint Analysis Multiple Correspondence Analysis Disaggregate Level Transport Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1996

Authors and Affiliations

  • D. Baier
    • 1
  • W. Gaul
    • 1
  1. 1.Institut für Entscheidungstheorie und UnternehmensforschungUniversität Karlsruhe (TH)KarlsruheGermany

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