Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies – part II
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] pracownik
2024
artykuł naukowy
angielski
- Preference learning
- Preference modelling
- Multiple criteria decision aiding
- Multiple criteria decision making
- Machine learning
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.
30.01.2024
CC BY (uznanie autorstwa)
czasopismo hybrydowe
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70
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