Fuzzy Sets and Systems II

To deal with living human-centric systems, the fuzzy mathematician, scientist, and engineer, Lotfi A. Zadeh introduced fuzzy sets and systems, from where a wealth of theoretical developments, conceptual pursuits, algorithmic environments, and other applications have emerged.

The idea of this lecture series is to introduce the students into fuzzy design science research. Based on a fuzzy rather than two-valued worldview, this theory does not aim at precise assertions about the behavior of complex systems. Rather, it aims at an accommodation with the pervasive imprecision of real-world by abandoning the unattainable goals of classical theory and adopting instead an approach that is tolerant of imprecision and partial truths.

As a departure from current views, this lecture series presents fuzzy sets and systems as an enabling mean whose impact, contributions, and methodology stretch beyond any specific discipline, making it applicable to researchers and practitioners in business and informatics. The result is a holistic overview of fuzzy sets and systems as a fundamental component of living human-centric systems.

Details

Code 53104
63104
Type Course
ECTS 5
Site Fribourg
Track(s) T5 – Information Systems and Decision Support
T6 – Data Science
Semester S2025

Teaching

Learning Outcomes

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

  • Learned about fuzzy set and systems design and engineering, applied to either business, government, or society,
  • Become familiar with fuzzy design science research methods within a group of two to implement a fuzzy artefact,
  • Modeled and presented, as well as designed, engineered, and evaluated the fuzzy artefact.

*Note that students can join every semester, even though the series covers fuzzy sets and systems I and II.

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_3102284.html.

Schedules and Rooms

Period Weekly
Schedule Friday, 14:15 - 17:00
Location UniFR, PER21
Room C130

Additional information

Comment

First Lecture
The first lecture will be announced later.