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The Decision Aiding group analyzes decision problems in various environments, from fully automated systems, like recommender systems, to those with significant stakeholder involvement, like public decisions. To address the wide-ranging demands of these environments, the group members draw upon knowledge from multiple research fields, such as computer science, economics, mathematics, environment and management science. The multidisciplinary composition of the group members allows to tackle the complexity of studied systems, by a diversity of employed methodologies, including micro-economics (especially social choice, game theory, and decision theory), operations research (such as mathematical programming techniques and solving multi-objective, multi-decision maker problems), and artificial intelligence (incorporating reasoning and machine learning).
The Decision Aiding group’s scientific project relies on the expertise and interaction of seven projects covering research domains related to decision aiding in complex environments
