KERMIT started out in 2000 with two men and a dog as a team in fuzzy set theory and preference modelling,
and quickly expanded into the fields of artificial/computational intelligence and operations research.
Over the years, it has evolved into a holistic team covering the entire data-to-decision pipeline.
It provides methodological expertise in the following areas:
- image processing and computer vision (e.g. mathematical morphology, filters)
- knowledge-based systems (e.g. bioportals, ontologies)
- dynamical modelling (e.g. differential equations, cellular automata, individual-based models)
- data science and machine learning (e.g. time series prediction,
structured prediction, deep learning, big data)
- management of imprecision and uncertainty (e.g. probability, possibility
and fuzzy set theory; stochastic modelling, theory of copulas)
- optimization and operations research
(e.g. preference modelling, multi-criteria decision making)