Fuzzy systems modeling

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.08616
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2021

    Schedules and rooms

    Summary schedule Friday 09:15 - 12:00, Hebdomadaire, PER 21, Room D230
    Struct. of the schedule 3h par semaine durant 14 semaines
    Contact's hours 42

    Teaching

    Responsibles
    Teachers
    Description

    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.

    Training objectives

    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.

    Comments

    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/.

    Softskills
    No
    Off field
    No
    BeNeFri
    Yes
    Mobility
    Yes
    UniPop
    No
  • Dates and rooms
    Date Hour Type of lesson Place
    26.02.2021 09:15 - 12:00 Cours PER 21, Room D230
    05.03.2021 09:15 - 12:00 Cours PER 21, Room D230
    12.03.2021 09:15 - 12:00 Cours PER 21, Room D230
    19.03.2021 09:15 - 12:00 Cours PER 21, Room D230
    26.03.2021 09:15 - 12:00 Cours PER 21, Room D230
    16.04.2021 09:15 - 12:00 Cours PER 21, Room D230
    23.04.2021 09:15 - 12:00 Cours PER 21, Room D230
    30.04.2021 09:15 - 12:00 Cours PER 21, Room D230
    07.05.2021 09:15 - 12:00 Cours PER 21, Room D230
    21.05.2021 09:15 - 12:00 Cours PER 21, Room D230
    28.05.2021 09:15 - 12:00 Cours PER 21, Room D230
    04.06.2021 09:15 - 12:00 Cours PER 21, Room D230
  • Assessments methods

    Examen écrit

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Branche secondaire Master: informatique de gestion 30 [MA]
    Version: 2020/SA_V01
    Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    Business Communication - Information Systems 90 ECTS [MA]
    Version: 2020/SA_V01
    Courses - 60 ECTS > Option Group > Information Management > Cours > 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

    Information Management 90 ECTS [MA] - SA/2019
    Version: 2019/SA_V01
    Classes - min. 45 ECTS > Module IT and IT Management > TMD: Technologies and Modelling for Digitalization
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization

    Information Management 90 ECTS [MA] - SA/2020
    Version: 2020/SA-v01
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization
    Classes - min. 45 ECTS > Module IT and IT Management > TMD: Technologies and Modelling for Digitalization