Fuzzy Modeling Methods

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 53103
Type Course
ECTS 5
Site Fribourg
Track(s) T5 – Information Systems and Decision Support
Semester S2020

Teaching

Lecturer(s) Edy Portmann
Language english
Course Page

The course page in ILIAS can be found at .

Schedules and Rooms

Period Weekly
Schedule Monday, 09:15 - 12:00
Location UniFR, PER21
Room E130

Additional information

Comment

First Lecture
The first lecture will be announced later.