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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

Austria

Education:

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

Experience:

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

Skills:

Activities:

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

Interests:

Machine learning in bioinformatics

Fuzzy logic and fuzzy systems

Knowledge-based methods in image processing

References:

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

Other:

 

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