Το έργο με τίτλο Preference disaggregation analysis: an overview of methodological advances and applications από τον/τους δημιουργό/ούς Doumpos Michail, Grigoroudis Evangelos, Matsatsinis Nikolaos, Zopounidis Konstantinos διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
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
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.