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. 

Team line-up