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EUSFLAT Research Groups
The following list gives an overview of research groups in which EUSFLAT members are active:
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Austria
| Institution | Main Topics |
| Fuzzy Logic Laboratory Linz-Hagenberg (FLLL) Johannes Kepler University, Linz, Austria |
theory and applications of knowledge-based mathematical systems |
| Institute of Bioinformatics Johannes Kepler University, Linz, Austria |
machine learning in molecular diagnosis |
| Knowledge-Based Technology Area (KBT), Software Competence Center Hagenberg (SCCH), Austria | theory and applications of fuzzy rule-based machine learning |
Czech Republic
| Institution | Main Topics |
| Institute of Computer Science Academy of Sciences of the Czech republic |
Mathematical fuzzy logic - propositional and predicate calculi. Continuous t-norm based semantics, general semantics based on BL-algebras. Logical problems of completeness, (un)decidability, complexity. Basic fuzzy logic BL, Lukasiewicz, Gödel and product logic, other t-norm based logics. |
| Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic |
fuzzy logic in narrow and broader sense with the stress to formal proving, formation of linguistically specified knowledge bases and control strategies, artificial and fuzzy neural networks, fuzzy mathematical programming, optimization using genetic algorithms and fuzzy automata |
France
| Institution | Main Topics |
| LIP6 - Machine Learning Team Université Pierre et Marie Curie - Paris 6, France |
theory and applications of fuzzy logic; fuzzy inductive learning, fuzzy data mining; Applications to multimedia systems, user modeling, and e-learning |
Germany
| Institution | Main Topics |
| Intelligent Fuzzy Computing Group Rostock, Germany |
We propose, with applications to environmental science, medicine, chemistry and drug design, a mathematical framework offering the possibilities of 1) the design of a fuzzy filter, based on different mathematical criteria, for filtering out the uncertainties from the modeling problem; 2) utilizing the data about uncertainties provided by the fuzzy filter for estimating the parameters of the random sources which produced uncertainties; 3) incorporating the statistical information about the random sources of uncertainties in the modeling of process behavior; 4) optimal prediction of process variables taking into account the uncertainties; 5) a mathematical analysis of the modeling approach with emphasis on stability, robustness, and steady-state error issues. |
Hungary
| Institution | Main Topics |
| Engineering Applications of Soft Computing Dept. of Process Engineering, University of Veszprem, Hungary |
fuzzy model based process control and monitoring, fuzzy clustering and classification, incorporation of a priori knowledge in the identification of fuzzy systems, block-oriented modelling of dynamical systems, fuzzy clustering and its applications to chemometrics, generic model control (GMC) based on hybrid models. |
The Netherlands
| Institution | Main Topics |
| Database group, University of Twente (UT) Enschede, The Netherlands |
probabilistic databases, probabilistic data integration, management of uncertainty in data, sensor data management, context-awareness, multimedia search, XML information retrieval, XML databases, security and privacy. |
Spain
| Institution | Main Topics |
| Approximate Reasoning and Artificial Intelligence (ARAI) Research Group University of Granada, Spain |
environmental impact assessment using fuzzy techniques (fuzzy EIA), economy scheduling. intelligent systems for biodiversity management, biocomputing, data bases and artificial intelligence, neural networks, neural computing and applications, knowledge extration and fuzzy rule-based systems. evolutionary computing and bioinspired |
| División de Ingeniería de Sistemas y Automática (UPM-DISAM) Universidad Politécnica de Madrid, Spain |
control engineering, fuzzy control, robotics, computing vision, artificial intelligence |
| Intelligent DataBases and Information Systems (IdBIS) Research Group University of Granada, Spain |
The main working area of our group lies in the Information Systems, specially in the framework of the Databases, as well as the handling of imprecise information in such environments. The use of tools coming from the fields of Artificial Intelligence, Machine Learning and Soft Computing allow us the optimization of the handling, treatment, and extraction of information in such systems. |
| Intelligent Systems Group University of Granada, Spain |
The current research of the group is automatic modeling of knowledge, planning and intelligent management of processes and, autonomous robots and active vision. The basic techniques used are: fuzzy logic, neural networks, rule-based models, genetic algorithms, techniques, smart planning and scheduling, vision, among others. |
| Institut d'Investigació en Intel.ligència Artificial (IIIA) Spanish Research Council, Bellaterra, Spain |
fuzzy logic, approximate reasoning, similarity logic, many-valued logic, fuzzy measures and aggregation operators |