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| Detailed information |
| Original study plan |
Bachelor's programme Technical Mathematics 2022W |
| Objectives |
Introduction to fuzzy systems, their foundations, applications and recent advances.
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| 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.
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| Criteria for evaluation |
written examination
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| Methods |
Blackboard presentation and slides.
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| 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
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| Changing subject? |
No |
| Corresponding lecture |
(*)TM1WMVOFUZC: VO Fuzzy Control (3 ECTS)
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