Fuzzy sets and systems I
-
Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.07618 Languages English Type of lesson Lecture
Level Master Semester AS-2026 Schedules and rooms
Summary schedule Friday 14:15 - 17:00, Hebdomadaire (Autumn semester)
Contact's hours 42 Teaching
Responsibles - Portmann Edy
Teachers - Portmann Edy
Description 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.
Training objectives 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.
Comments MSc-CS BENEFRI - (Code Ue: 53105/ Track: T5, Code Ue:63105 / Track 6) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.
Course and exam registration on ACADEMIA (not myunifr.ch). Please follow the instructions on https://mcs.unibnf.ch/organization/
Softskills No Off field No BeNeFri Yes Mobility Yes UniPop No Documents
Bibliography E. Portmann, G. Wilke, L. Téran, S. D’Onofrio (2026). Fuzzy Sets and Systems: An Introduction with Cases from Business Informatics, Computer Science and Engineering. Springer.
-
Dates and rooms
Date Hour Type of lesson Place 18.09.2026 14:15 - 17:00 Cours 25.09.2026 14:15 - 17:00 Cours 02.10.2026 14:15 - 17:00 Cours 09.10.2026 14:15 - 17:00 Cours 16.10.2026 14:15 - 17:00 Cours 23.10.2026 14:15 - 17:00 Cours 30.10.2026 14:15 - 17:00 Cours 06.11.2026 14:15 - 17:00 Cours 13.11.2026 14:15 - 17:00 Cours 20.11.2026 14:15 - 17:00 Cours 27.11.2026 14:15 - 17:00 Cours 04.12.2026 14:15 - 17:00 Cours 11.12.2026 14:15 - 17:00 Cours 18.12.2026 14:15 - 17:00 Cours -
Assessments methods
Exam
Assessments methods By rating -
Assignment
Valid for the following curricula: Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Specialized courses in Computer Science (Master level)
Additional programme requirements for PhD studies [PRE-DOC]
Version: 2020_1/v_01
Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Computer Science (Master level)
Computer Science [POST-DOC]
Version: 2015_1/V_01
Continuing education > Specialized courses in Computer Science (Master level)
MSc in Computer science (BeNeFri)
Version: 2023_1/V_01
MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T5 : Information Systems and Decision Support
Ma - Business Communication : Business Informatics - 90 ECTS
Version: 2024-SA_V03
Business Informatics > Business Informatics Courses > Module Wirtschaftsinformatik > DADS: Data Analytics & Decision SupportBusiness Informatics > Business Informatics Courses > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for DigitalizationBusiness Informatics > Business Informatics Courses > Module Informatik > Data Science
Ma - Business Informatics - 90 ECTS
Version: 2020-SA_V01
Classes - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > TMD: Technologies and Modelling for DigitalizationClasses - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > DADS: Data Analytics & Decision SupportClasses - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > Data ScienceClasses - min. 45 ECTS > Modules IT Management - min. 22 ECTS > DADS: Data Analytics & Decision SupportClasses - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization
MiMa - Business Informatics - 30 ECTS
Version: 2020-SA_V01
Courses > Modules in Business Informatics > DADS: Data Analytics & Decision SupportCourses > Modules in Business Informatics > TMD: Technologies and Modelling for DigitalizationCourses > Modules in Computer Science > Data Science
MiMa - Data Analytics - 30 ECTS
Version: 2020-SA_V01
Maximum of 9 ECTS credits can be chosen from courses in module T6 (Data Science) of the MSc in Computer Science and/or modules DADS and TMD of the MSc in Business Informatics. > Data ScienceMaximum of 9 ECTS credits can be chosen from courses in module T6 (Data Science) of the MSc in Computer Science and/or modules DADS and TMD of the MSc in Business Informatics. > DADS: Data Analytics & Decision SupportMaximum of 9 ECTS credits can be chosen from courses in module T6 (Data Science) of the MSc in Computer Science and/or modules DADS and TMD of the MSc in Business Informatics. > TMD: Technologies and Modelling for Digitalization
