Fuzzy systems modeling

  • Unterricht

    Details

    Fakultät Math.-Nat. und Med. Fakultät
    Bereich Informatik
    Code UE-SIN.08616
    Sprachen Englisch
    Art der Unterrichtseinheit Vorlesung
    Kursus Master
    Semester SP-2021

    Zeitplan und Räume

    Vorlesungszeiten Freitag 09:15 - 12:00, Wöchentlich, PER 21, Raum D230
    Strukturpläne 3h par semaine durant 14 semaines
    Kontaktstunden 42

    Unterricht

    Verantwortliche
    Dozenten-innen
    Beschreibung

    The idea of this lecture series is to introduce students into fuzzy modelling methods. With today’s information overload, it has become increasingly difficult to analyze the huge amounts of data and to generate appropriate management decisions. Furthermore, the data are often imprecise and will include both quantitative and qualitative elements. For these reasons it is important to extend traditional decision making processes by adding intuitive reasoning, human subjectivity and imprecision.

    To deal with uncertainty, vagueness, and imprecision, Lotfi A. Zadeh introduced fuzzy sets and fuzzy logic. In this series fuzzy logic is applied to extend and model portfolio analysis, scoring methods, customer relationship management, performance measurement, web reputation, web analytics and controlling, community marketing and other business domains to improve managerial decisions. Thus, fuzzy logic can be seen as a modeling and management method where appropriate concepts, software tools and languages build a powerful instrument for analyzing and controlling the business.

    Lernziele

    On successful completion of this lecture series, the students will have…
    - …learned about key fuzzy management methods applied to business, government and society.
    - …become familiar with development methods within a small group to model and implement a fuzzy application.
    - …modeled and presented a state-of-the-art fuzzy application.

    Bemerkungen

    MSc-CS BENEFRI - (Code Ue: 53104 Track: T5) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.

    Soft Skills
    Nein
    ausserhalb des Bereichs
    Nein
    BeNeFri
    Ja
    Mobilität
    Ja
    UniPop
    Nein
  • Einzeltermine und Räume
    Datum Zeit Art der Unterrichtseinheit Ort
    26.02.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    05.03.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    12.03.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    19.03.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    26.03.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    16.04.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    23.04.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    30.04.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    07.05.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    21.05.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    28.05.2021 09:15 - 12:00 Kurs PER 21, Raum D230
    04.06.2021 09:15 - 12:00 Kurs PER 21, Raum D230
  • Leistungskontrolle

    Prüfung

    Bewertungsmodus Nach Note
  • Zuordnung
    Zählt für die folgenden Studienpläne:
    Business Communication - Wirtschaftsinformatik 90 ECTS [MA]
    Version: 2020/SA_V01
    Kurse - 60 ECTS > Optionsgruppe > Wirtschaftsinformatik > Kurse > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    Data Analytics 30 [MA]
    Version: 2020/SA-v01
    À choix 9 crédits ECTS > TMD: Technologies and Modelling for Digitalization

    Masternebenfach: Wirtschaftsinformatik 30 [MA]
    Version: 2020/SA_V01
    Kurse > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    Wirtschaftsinformatik 90 ECTS [MA] - SA/2019
    Version: 2019/SA_V01
    Kurse - min. 45 ECTS > Module Wirtschaftsinformatik/Informatik > TMD: Technologies and Modelling for Digitalization
    Kurse - min. 45 ECTS > Module Wirtschaftsinformatik - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization

    Wirtschaftsinformatik 90 ECTS [MA] - SA/2020
    Version: 2020/SA-v01
    Kurse - min. 45 ECTS > Module Wirtschaftsinformatik - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization
    Kurse - min. 45 ECTS > Module Wirtschaftsinformatik/Informatik > TMD: Technologies and Modelling for Digitalization