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A Recommender system based on MultiCriteria Aggregation

Fomba, Soumana and Zaraté, Pascale and Kilgour, Marc A Recommender system based on MultiCriteria Aggregation. (2016) In: 2nd International Conference on Decision Support Systems TechnologY (ICDSST 2016) EWG-DSS - EURO Working Group on Decision Support Systems, 23 May 2016 - 25 May 2016 (Plymouth, United Kingdom).

(Document in English)

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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.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01517389
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université des Sciences, des Techniques et des Technologies de Bamako - USTTB ( MALI)
Other partners > Wilfrid Laurier University (CANADA)
Laboratory name:
Deposited On:21 Apr 2017 12:32

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