Old News

Fuzzy Systems

Winter 2016/17


  • The exam of winter term 2016/2017 is now revised. You can have a look at your exam on wednesday 15th of february 2017 between 2p.m. and 4p.m. in room G29-013 - the final grades will be determined afterwards.


General Information

This page contains information about the lecture "Fuzzy Systems" that is read by Prof. Dr. Rudolf Kruse in winter 2016/17. It is updated during the course.

Fuzzy set theory is an extension of the classical set theory that can model imprecise and vague expressions of natural language such as big, small, hot, cold, etc. Fuzzy logic allows to formalize rules that contain such expressions of natural language. These rules can be utilized to support decision processes. The lecture "Fuzzy Systems" offers an introduction to both fuzzy set theory and fuzzy logic. Moreover it deals with applications of control engineering, approximate inference, and data analysis.

Note that since "Fuzzy Systems" is a master course, both lecture and exercise will be given in english. There might be german assignment sheets on request.

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Schedule and Rooms


Every student who wants to participate in the exercise must register her-/himself via the FIN Registration Service for the exercise. The registration is enabled between 15.09.2016 and 29.10.2016 While doing the registration, we kindly ask you to give an e-mail address of which incoming e-mail you check regularly.

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If you have questions regarding the lecture or exercise, please contact (via e-mail if possible) one of the persons named below.

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Conditions for Certificate ("Schein") and Exam

A new assignment sheet containing written and programming assignments is published on this web page every week. The written assignments must me ticked off at the beginning of every exercise. Ticking off an assignment 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. However, you should be prepared thoroughly in order to solve the assignment).

Programming assignments must be submitted in electronic form to Christoph Doell. Latest submission is possible until four days before the corresponding exercise day at 8:00 a.m. Later submissions will not be accepted. The programs must run properly in the programming language discussed in the exercise. Submissions can be performed as teams of up to three students, as long as all team members are named in the submission and every single team member is able to present the solution.

The graded or ungraded certificate for this course is issued to students who

  • regularly contribute well in the exercises,
  • tick off at least one half of all written assignments,
  • present at least twice a solution to a written assignment during the exercise,
  • submit at least twice a running implementation of a programming assignment, and
  • finally pass the exam after the course.

Note that graded exams have to be officially announced to the examination office by using HISQIS. The date of the written exam is not yet fixed. When this is the case, it will be announced here.

The following resources are allowed to bring and to use in the exam:

  • a non-programmable calculator (although you won't need any),
  • a blue or black pen,
  • a ruler,
  • a pencil.

We will issue paper to write on.

Also do not forget to bring your personal and your student ID, so that we can verify your personality.

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You do not need but should have some background knowledge about

  • mathematics (especially algebra and convex optimization theory),
  • computer science (algorithms, data structures, etc.) and
  • machine learning or data mining.
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Slides from the Lecture

The slides from the lecture will be published here incrementally as the course proceeds.

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The collection of assignment sheets will be updated weekly at this location.

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Additional Material

Feel free to check out the following supplementary material that augment the lecture and exercise.

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Page last modified on February 10, 2017, at 08:44 PM by doell