Inhalt

[ 201WIMSFUSV18 ] VL Fuzzy Systems

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B3 - Bachelor's programme 3. year Mathematics Susanne Saminger-Platz 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Technical Mathematics 2022W
Objectives Introduction to fuzzy systems, their foundations, applications and recent advances.
Subject Introduction to fuzzy sets, fuzzy relations and fuzzy logics, Mamdani and Takagi-Sugeno-Kang inference systems, hybrid systems for tuning and learning fuzzy systems, evolving fuzzy systems, interpretability aspects of fuzzy systems.
Criteria for evaluation written examination
Methods Blackboard presentation and slides.
Language English and French
Study material
  • R. Kruse, J. Gebhard, and F. Klawonn. Foundations of Fuzzy Systems. J. Wiley&Sons, Chicester, 1994.
  • E. Lughofer. Evolving Fuzzy Systems. Methodologies, Advance Concepts and Applications. Springer, Berlin/Heidelberg, 2011
  • R. Kruse, S. Mostaghim, C. Borgelt, C. Braune, M. Steinbrecher. Computational Intelligence - A Methodological Introduction, 3rd edition, Springer-Verlag, Berlin/Heidelberg, 2022
Changing subject? No
Corresponding lecture (*)TM1WMVOFUZC: VO Fuzzy Control (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment