Multicriteria aggregating operator adaptation based on decision making context

Fomba, Soumana, Zaraté, Pascale and Camilleri, Guy (2017) Multicriteria aggregating operator adaptation based on decision making context. In: 3rd International Conference on Decision Support Systems Technologies (ICDSST 2017).

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Abstract

Recommender systems aim to support decision-makers by providing decision advice. We review briefly tools of Multi-Criteria Decision Analysis (MCDA), including aggregation operators that could be the basis for a recommender system. Then we develop a generic multi-criteria recommender system, to support decisions by aggregating measures of performance contained in a performance matrix. To determine a total order of alternatives, the system uses different multicriteria aggregation operators depending on the context of use of the system. Thus, recommendations are calculated using partial preferences provided by the decision maker and updated by the system. An integrated web platform is under development.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2017
Uncontrolled Keywords: Recommender system - Choquet integral - MCDA - Sugeno integral - Aggregation operator
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 01 Apr 2019 22:22
Last Modified: 01 Apr 2019 22:22
URI: http://publications.ut-capitole.fr/id/eprint/28646

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