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| Detailinformationen |
| Quellcurriculum |
Bachelorstudium Technische Mathematik 2022W |
| Ziele |
(*)Introduction to fuzzy systems, their foundations, applications and recent advances.
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| Lehrinhalte |
(*)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.
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| Beurteilungskriterien |
(*)written examination
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| Lehrmethoden |
(*)Blackboard presentation and slides.
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| Abhaltungssprache |
English |
| Literatur |
(*)- 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
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| Lehrinhalte wechselnd? |
Nein |
| Äquivalenzen |
TM1WMVOFUZC: VO Fuzzy Control (3 ECTS)
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