Fuzzy Sets and Systems II

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.

Details

Code	53104 63104
Type	Course
ECTS	5
Site	Fribourg
Track(s)	T5 – Information Systems and Decision Support T6 – Data Science
Semester	S2025

Teaching

Learning Outcomes	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.
Lecturer(s)	Edy Portmann
Language	english
Course Page	The course page in ILIAS can be found at https://ilias.unibe.ch/goto_ilias3_unibe_crs_3102284.html.

Schedules and Rooms

Period	Weekly
Schedule	Friday, 14:15 - 17:00
Location	UniFR, PER21
Room	C130

Additional information

Comment

First Lecture The first lecture will be announced later.