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Preference disaggregation analysis: an overview of methodological advances and applications

Doumpos Michail, Grigoroudis Evangelos, Matsatsinis Nikolaos, Zopounidis Konstantinos

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URI: http://purl.tuc.gr/dl/dias/1F78A910-5CE6-44E8-8A35-7302FD4EB05E
Year 2022
Type of Item Book Chapter
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Bibliographic Citation M. Doumpos, E. Grigoroudis, N. F. Matsatsinis and C. Zopounidis, “Preference disaggregation analysis: an overview of methodological advances and applications,” in Intelligent Decision Support Systems : Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński, Multiple Criteria Decision Making, Cham, Switzerland: Springer, 2022, pp. 73–100, doi: 10.1007/978-3-030-96318-7_5. https://doi.org/10.1007/978-3-030-96318-7_5
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Summary

Preference disaggregation analysis has been widely used for constructing decision models in multi-criteria decision aid (MCDA). Disaggregation approaches adopt a data-driven scheme, in which preferential information is inferred from decision examples through regression-like approaches. This chapter provides an overview of the preference disaggregation paradigm and the existing methodologies covering different modeling forms and decision contexts. Moreover, recent applications are summarized along with developments in this field.

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