URI | http://purl.tuc.gr/dl/dias/A96C320A-69BE-43E1-AAA7-580D6EAC61E1 | - |
Αναγνωριστικό | http://www.sciencedirect.com/science/article/pii/S0377221710003851 | - |
Αναγνωριστικό | https://doi.org/10.1016/j.ejor.2010.05.029 | - |
Γλώσσα | en | - |
Μέγεθος | 12 pages | en |
Τίτλος | Preference disaggregation and statistical learning for multicriteria decision support: a review | en |
Δημιουργός | Michael Doumpos | en |
Δημιουργός | Δουμπος Μιχαλης | el |
Δημιουργός | Zopounidis Konstantinos | en |
Δημιουργός | Ζοπουνιδης Κωνσταντινος | el |
Εκδότης | Elsevier | en |
Περίληψη | Disaggregation methods have become popular in multicriteria decision aiding (MCDA) for eliciting preferential information and constructing decision models from decision examples. From a statistical point of view, data mining and machine learning are also involved with similar problems, mainly with regard to identifying patterns and extracting knowledge from data. Recent research has also focused on the introduction of specific domain knowledge in machine learning algorithms. Thus, the connections between disaggregation methods in MCDA and traditional machine learning tools are becoming stronger. In this paper the relationships between the two fields are explored. The differences and similarities between the two approaches are identified, and a review is given regarding the integration of the two fields. | en |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2015-11-09 | - |
Ημερομηνία Δημοσίευσης | 2011 | - |
Θεματική Κατηγορία | Multiple criteria analysis | en |
Θεματική Κατηγορία | Disaggregation analysis | en |
Θεματική Κατηγορία | Preference learning | en |
Θεματική Κατηγορία | Data mining | en |
Βιβλιογραφική Αναφορά | M. Doumpos and C. Zopounidis, "Preference disaggregation and statistical learning for multicriteria decision support: a review," Europ. J. Operat. Res., vol. 209, no. 3, pp. 203-214, Mar. 2011. doi:10.1016/j.ejor.2010.05.029 | en |