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 | S2024 |
Teaching
| Learning Outcomes | On successful completion of this lecture series, the students will have…
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| 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_2793422.html. |
Schedules and Rooms
| Period | Weekly |
| Schedule | Friday, 14:15 - 17:00 |
| Location | UniFR, PER21 |
| Room | B130 |
Additional information
| Comment | First Lecture
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