Fuzzy sets and systems II
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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-2023 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
Assistants - Nguyen Minh Tue
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 , 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 -
Dates and rooms
Date Hour Type of lesson Place 24.02.2023 14:15 - 17:00 Cours PER 21, Room F130 03.03.2023 14:15 - 17:00 Cours PER 21, Room F130 10.03.2023 14:15 - 17:00 Cours PER 21, Room F130 17.03.2023 14:15 - 17:00 Cours PER 21, Room F130 24.03.2023 14:15 - 17:00 Cours PER 21, Room F130 31.03.2023 14:15 - 17:00 Cours PER 21, Room F130 21.04.2023 14:15 - 17:00 Cours PER 21, Room F130 28.04.2023 14:15 - 17:00 Cours PER 21, Room F130 05.05.2023 14:15 - 17:00 Cours PER 21, Room F130 12.05.2023 14:15 - 17:00 Cours PER 21, Room F130 26.05.2023 14:15 - 17:00 Cours PER 21, Room F130 02.06.2023 14:15 - 17:00 Cours PER 21, Room F130 -
Assessments methods
Examen
Assessments methods By rating -
Assignment
Valid for the following curricula: Additional Courses in Sciences
Version: ens_compl_sciences
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