RT Conference Proceedings
SR 00
A1 Fomba, Soumana
A1 Zaraté, Pascale
A1 Kilgour, Marc
T1 A Recommender system based on MultiCriteria Aggregation
YR 2016
SP 1
OP 7
K1 Recommender system - Choquet integral - MCDA
AB Recommender systems aim to support decision-makers by providing decision advice. We offer multi-criteria decision recommendations based on a performance matrix and a partial order on criteria submitted by the user. Our method is to aggregate performance measures over all criteria based on inferences about preferences from the decision-maker’s input. After reviewing some multicriteria aggregation operators, we present a recommender system that uses the Choquet integral of a fuzzy measure to determine a total ordering of the alternatives.
T2 2nd International Conference on Decision Support Systems TechnologY (ICDSST 2016) EWG-DSS - EURO Working Group on Decision Support Systems
LK https://publications.ut-capitole.fr/id/eprint/29032/