Fuzzy sets and systems II

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.08620
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SS-2026

    Schedules and rooms

    Summary schedule Friday 14:15 - 17:00, Hebdomadaire (Spring semester)
    Struct. of the schedule 3h par semaine durant 14 semaines
    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.

    Fuzzy Sets and Systems II – Swiss Joint Master of Science in Computer Science
    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: 53104 Track: T5 , Code Ue: 63104 Track. T6). 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
    20.02.2026 14:15 - 17:00 Cours PER 21, Room D130
    27.02.2026 14:15 - 17:00 Cours PER 21, Room D130
    06.03.2026 14:15 - 17:00 Cours PER 21, Room D130
    13.03.2026 14:15 - 17:00 Cours PER 21, Room D130
    20.03.2026 14:15 - 17:00 Cours PER 21, Room D130
    27.03.2026 14:15 - 17:00 Cours PER 21, Room D130
    17.04.2026 14:15 - 17:00 Cours PER 21, Room D130
    24.04.2026 14:15 - 17:00 Cours PER 21, Room D130
    01.05.2026 14:15 - 17:00 Cours PER 21, Room D130
    08.05.2026 14:15 - 17:00 Cours PER 21, Room D130
    22.05.2026 14:15 - 17:00 Cours PER 21, Room D130
    29.05.2026 14:15 - 17:00 Cours PER 21, Room D130
  • 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 > T6: Data Science
    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 Informatik > Data Science
    Business Informatics > Business Informatics Courses > Module Wirtschaftsinformatik > DADS: Data Analytics & Decision Support
    Business Informatics > Business Informatics Courses > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
    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 Digitalization
    Classes - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > DADS: Data Analytics & Decision Support
    Classes - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > Data Science
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > DADS: Data Analytics & Decision Support
    MiMa - Business Informatics - 30 ECTS
    Version: 2020-SA_V01
    Courses > Modules in Business Informatics > TMD: Technologies and Modelling for Digitalization
    Courses > Modules in Business Informatics > DADS: Data Analytics & Decision Support
    Courses > 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. > TMD: Technologies and Modelling for Digitalization
    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 Science
    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. > DADS: Data Analytics & Decision Support