Fuzzy Modeling Methods

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.08614
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SP-2020

    Schedules and rooms

    Summary schedule Monday 09:15 - 12:00, Hebdomadaire, PER 21, Room E130
    Struct. of the schedule 3h par semaine durant 14 semaines
    Contact's hours 42

    Teaching

    Responsibles
    Teachers
    Assistants
    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.

    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

    Documents

    Bibliography

    For this lecture series we use the book of Portmann, E.: Fuzzy Management Methods: Modeling with Fuzzy Logic. Springer. Forthcoming.

  • Dates and rooms
    Date Hour Type of lesson Place
    17.02.2020 09:15 - 12:00 Cours PER 21, Room E130
    24.02.2020 09:15 - 12:00 Cours PER 21, Room E130
    02.03.2020 09:15 - 12:00 Cours PER 21, Room E130
    09.03.2020 09:15 - 12:00 Cours PER 21, Room E130
    16.03.2020 09:15 - 12:00 Cours PER 21, Room E130
    23.03.2020 09:15 - 12:00 Cours PER 21, Room E130
    30.03.2020 09:15 - 12:00 Cours PER 21, Room E130
    06.04.2020 09:15 - 12:00 Cours PER 21, Room E130
    20.04.2020 09:15 - 12:00 Cours PER 21, Room E130
    27.04.2020 09:15 - 12:00 Cours PER 21, Room E130
    04.05.2020 09:15 - 12:00 Cours PER 21, Room E130
    11.05.2020 09:15 - 12:00 Cours PER 21, Room E130
    18.05.2020 09:15 - 12:00 Cours PER 21, Room E130
    25.05.2020 09:15 - 12:00 Cours PER 21, Room E130
  • Assessments methods

    Examen

    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)

    Branche secondaire Master: informatique de gestion
    Version: 2019/SA-v01
    Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    Business Communication - Information Systems 90 ECTS [MA]
    Version: 2019/SA-v01
    Courses - 60 ECTS > Option Group > Information Management > Cours > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization

    Complementary learings in SES
    Version: ens_compl_ses
    MA course offering for Mobility Students

    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

    MSc in Computer science (BeNeFri)
    Version: 2010_2/V_02
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > Specialized courses in Computer Science (Master level)

    Sciences économiques et sociales
    Version: 2018/SP_v01 ses_BeNeFri
    Course > MA course offering for BeNeFri Students