Fuzzy Systems
News
Welcome to the course on Fuzzy Systems!
Written Exam: 11.7.2022
Description
This page contains information about the online lecture "Fuzzy Systems". The course is held in summer term 2022 by Prof. Dr. Rudolf Kruse.
Fuzzy set theory is an extension of the classical set theory that can model imprecise and vague information. The lecture "Fuzzy Systems" offers an introduction to both fuzzy sets and fuzzy logic, in theory and applications. It deals with control engineering, approximate inference, fuzzy data analysis, learning systems, and hybrid systems (especially neuro-fuzzy models).
Both lecture and tutorials will be given in English. The course is useful for computer scientists, mathematicians, and engineers.
Lectures and Tutorials
Lectures: Rudolf Kruse, rudolf.kruse@ovgu.de
Weekday: Wednesday, Time: 11:15-12:45, Begin: 06.04.22, Room: G29-336
You'll find the slides of the lectures below. Additionally we provide videos of the lectures on Nextcloud ( cicloud.cs.ovgu.de)
Tutorials: Lars Wagner, lars.wagner@ovgu.de
Group 1 Weekday: Wednesday, Time 13:15-14:45, Begin 13.04.22
You find the weekly exercise sheets and other information on Nextcloud (cicloud.cs.ovgu.de).
In order to participate in the tutorials, you should apply via https://app.cs.ovgu.de/frs/subscribe/FS!
Conditions for Exams
A new assignment sheet containing written and programming assignments is published every week. You must vote on for each assignment, which means that you are willing and able to explain and present the assignment and your solution proposal (which does not need to be completely correct) during the online tutorial . However, you should be prepared thoroughly in order to present your solution.
The graded certificate for this course is issued to students who
- regularly contribute well in the exercises,
- submitted at least 2/3 of all written assignments,
- present at least twice a solution to a written assignment during the exercise (this number is reduced in case not everybody can present twice due to the number of exercises)
- finally pass the written exam after the course.
Note that graded exams have to be officially announced to the examination office. The date of the written exam will be announced later.
Slides
The slides of the lecture will be added gradually.
Organisation
| 0 | Organization | Lecture0 | |
| 1 | Fuzzy Sets - Basics | Lecture1 | Tutorium1 |
| 2 | Fuzzy Logics | Lecture2 | Tutorium2 |
| 3 | Fuzzy Set Operators | Lecture3 | Tutorium3 |
| 4 | Extension Principle | Lecture4 | |
| 5 | Fuzzy Relations | Lecture5 | Tutorium5 |
| 6 | Fuzzy Control | Lecture6 | Tutorium6 |
| 7 | Approximate Reasoning | Lecture7 | Tutorium7 |
| 8 |
Fuzzy Data Analysis-Clustering |
Lecture8 | Tutorium8 |
| 9 | Fuzzy Data Analysis-Statistics | Lecture9 | Tutorium9 |
| 10 | Fuzzy Data Analysis- Possibilistic Reasoning | Lecture10 | Tutorium10 |
| 11 | Learning Fuzzy Systems | Lecture11 | |
| 12 | Evolving Fuzzy Systems | Lecture12 |
Literature
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R. Kruse, S. Mostaghim, C. Borgelt, C. Braune, M. Steinbrecher, 2022, (third edition), Computational Intelligence: A Methodological Introduction, Springer, New York. This book is available via free download in the OVGU library.