The LFI (Learning, Fuzzy and Intelligent Systems) team has been created on January 1st, 2014 from the "Machine Learning and Uncertainty" part of the MALIRE team of the LIP6.

The research of the LFI team is focused on the use of computational intelligence techniques for the design of intelligent systems. In particular, we develop research on the interpretability of artificial intelligence methods in the fields of decision support, data science and machine learning. The scientific and applicative objectives are to design and propose approaches that are both explainable during their construction and during their use. For this, we carry out both fundamental research, for the design of new models or the extension of existing theoretical models to take into account gradual or imperfect knowledge, and research in various application areas.