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  • Ulrich Bodenhofer Ulrich Bodenhofer [Send a message]
    Member since: March 14, 2006
    Associate professor at Institute of Bioinformatics, Johannes Kepler University, Linz, Austria
    Curriculum vitae

    Current address:

    Institute of Bioinformatics, Johannes Kepler University Linz
    Altenbergerstr. 69
    4040 Linz



    MSc in Applied Mathematics
    Johannes Kepler University Linz
    1994 - 1996
    PhD in Applied Mathematics
    Johannes Kepler University Linz
    1996 - 1998
    Habilitation (venia docendi) in Mathematics of Knowledge-Based Systems
    PhD in Applied Mathematics
    1998 - 2003


    Associate Professor Institute of Bioinformatics, Johannes Kepler University Linz 2006 -
    Associate Professor and Deputy Head of Dept. Dept. of Knowledge-Based Math. Systems, Johannes Kepler University Linz 2003 - 2006
    Scientific Director Software Competence Center Hagenberg 2002 - 2006



    Current president of the European Society for Fuzzy Logic and Technology

    Member of IEEE (plus CIS and SMC sub-societies)

    Member of editorial board of Fuzzy Sets and Systems

    Member of program committees of numerous international conferences

    Two best paper awards and two other scientific awards


    Machine learning in bioinformatics

    Fuzzy logic and fuzzy systems

    Knowledge-based methods in image processing


    U. Bodenhofer. A similarity-based generalization of fuzzy orderings preserving the classical axioms. Internat. J. Uncertain. Fuzziness Knowledge-Based Systems, 8(5):593-610, 2000

    U. Bodenhofer and F. Klawonn. A formal study of linearity axioms for fuzzy orderings. Fuzzy Sets and Systems, 145(3):323-354, 2004

    U. Bodenhofer and P. Bauer. Interpretability of linguistic variables: a formal account. Kybernetika, 41(2):227-248, 2005

    M. Drobics, U. Bodenhofer, and W. Winiwarter. Mining clusters and corresponding interpretable descriptions - a three-stage approach. Expert Systems, 19(4):224-234, 2002

    U. Bodenhofer, M. De Cock, and E. E. Kerre. Openings and closures of fuzzy preorderings: Theoretical basics and applications to fuzzy rule-based systems. Int. J. General Systems, 32(4):343-360, 2003



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