DECIDE

Presentation

Research directions

The DECIDE team intends to provide decision support solutions for decision makers facing heterogeneous and complex data. These data - text, signals, images, sensors streams, social networks interactions, decision making contexts, preferences of the decision makers, spatial, or even previous decisions - are the starting point of DECIDES's research activities. 

Challenges

In order to facilitate the decision making act, DECIDE's ambition is to propose the decision makers solutions that allow them to:

  • Identify, model, and understand the information extracted from data.
  • Make reliable and robust decisions based on the extracted information.
  • Justify decision recommendations to demonstrate their quality.
  • Provide coherent recommendations according to the decision makers' needs.
  • Model the different stages of the decision support process to guarantee that recommendations are both readable and traceable.
  • Identify potentially uncertain preferences.
  • Reach a compromise whenever decision makers have conflicting preferences.

Team structure

To tackle these scientific challenges, the DECIDE team works along 4 research axes : decision aiding, data mining, information integration and quality, engineering for decision support. The figure below summarizes this structure. The techniques used through the 4 axes are mainly graph theory, optimization, learning, data visualization and modelling. The decision makers are central to the activites of DECIDE, as it is shown on the figure. 

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Team line-up

Leaders

Patrick Meyer

John Puentes

Staff (situation : 01/11/2016):

  • 5 full professors,
  • 10 associate-professors,
  • 1 CNRS researcher, 
  • 3 research engineers,
  • 1 post-doctoral researcher,
  • 13 PhD students

Location:

The team is located in 4 different academic institutions : Université de Bretagne Sud (UBS), École Nationale Supérieure de Techniques Avancées en Bretagne (ENSTA-Bretagne), Telecom Bretagne (TB), Université de Bretagne Occidental (UBO).

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