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A descriptive-analytic approach to MCDA: the case of correspondence analysis

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Abstract

In this paper we introduce the method of correspondence analysis (CA) to a stochastic multicriteria problem in order to provide solutions that can support the descriptive problematic. These solutions are given in the form of new criteria-axes and the functions of factors. We interpret these functions in terms of the uniform conditional stochastic order. In case, where the first axis provides us with a significant percentage of information, we suggest a ranking of actions which approaches the usual stochastic order.

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Authors and Affiliations

  1. Department of Marketing and Operations Management, University of Macedonia, Thessaloniki, Greece

    Dimos Loukas

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  1. Dimos Loukas
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Correspondence to Dimos Loukas.

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Loukas, D. A descriptive-analytic approach to MCDA: the case of correspondence analysis. Oper Res Int J 8, 141–152 (2008). https://doi.org/10.1007/s12351-008-0010-x

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  • DOI: https://doi.org/10.1007/s12351-008-0010-x

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