Title
Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies – part II
Authors
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee
Scientific discipline (Law 2.0)
Year of publication
2024
Published in
Article type
scientific article
Publication language
english
Keywords
EN
- Preference learning
- Preference modelling
- Multiple criteria decision aiding
- Multiple criteria decision making
- Machine learning
Abstract
EN This article elaborates on the connection between multiple criteria decision aiding (MCDA) and preference learning (PL), two research fields with different roots and developed in different communities. It complements the first part of the paper, in which we started with a review of MCDA. In this part, a similar review will be given for PL, followed by a systematic comparison of both methodologies, as well as an overview of existing work on combining PL and MCDA. Our main goal is to stimulate further research at the junction of these two methodologies.
Date of online publication
30.01.2024
Pages (from - to)
313 - 349
License type
CC BY (attribution alone)
Open Access Mode
czasopismo hybrydowe
Open Access Text Version
final published version
Date of Open Access to the publication
in press
Full text of article
Access level to full text
public
Ministry points / journal
70
Impact Factor
1,7 [List 2023]
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