Fuzzy Sets and Systems I

The idea of this lecture series is to introduce students into the design and engineering of fuzzy sets and systems. It is thought of a self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals, design methodologies, development guidelines, and particular illustrative material. Throughout the lecture series, we thus emphasize on the direct applicability of the concepts being discussed, and historical and bibliographical aspects are included.

To deal with human-center systems, Lotfi A. Zadeh introduced fuzzy sets and systems, from where a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications have emerged. As a departure from current views on the subject, the lecture series presents fuzzy sets as an enabling technology whose impact, contributions, and methodology stretch beyond any specific discipline, making it applicable to researchers and practitioners in engineering, computer science and business. With this in mind, the series presents an up-to-date approach to fuzzy systems design and engineering. The result is a holistic view of fuzzy sets and systems as a fundamental component of computational intelligence and human-centric systems.


Code 53105
Type Course
Site Fribourg
Track(s) T5 – Information Systems and Decision Support
Semester A2024


Learning Outcomes

On successful completion of this lecture series, the students will have…

  • …learned about key fuzzy systems design and engineering applied to business, government and society.
  • …become familiar with development methods within a small group to implement a fuzzy application.
  • …designed, engineered and presented a state-of-the-art fuzzy application.
Lecturer(s) Edy Portmann
Language english
Course Page

The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_3102199.html.

Schedules and Rooms

Period Weekly
Schedule Friday, 14:15 - 17:00
Location UniFR, PER21

Additional information


First Lecture
The first lecture will be announced later.

For this lecture series we use the book of Portmann, E.: Fuzzy Management Methods: Modeling with Fuzzy Logic. Springer. Forthcoming.