Journal
INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY
Volume 9, Issue 4, Pages 1-15Publisher
IGI GLOBAL
DOI: 10.4018/IJDSST.2017100101
Keywords
Choquet Integral; MCDA; Recommender System
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Funding
- [ANR-11-LABX-0040-CIMI]
- [ANR-11IDEX-0002-02]
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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 multi-criteria recommender system, STROMa (SysTem of RecOmmendation Multi-criteria), to support decisions by aggregating measures of performance contained in a performance matrix. The system makes inferences about preferences using a partial order on criteria input by the decision-maker. To determine a total ordering of the alternatives, STROMa uses a multi-criteria aggregation operator, the Choquet integral of a fuzzy measure. Thus, recommendations are calculated using partial preferences provided by the decision maker and updated by the system. An integrated web platform is under development.
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