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Fuzzy Sets and Fuzzy Systems

Course only in German

Hours per Week:

4

Credit Points:

5

Prerequisites:

Mathematics basics, Data Mining, linear Optimization.

Type of Course:

Seminar

Frequency (WS/SS):

Wintersemester

Work Load:

150 hours, including:
65 hours attendance,
85 hours preparation and revision

Study Programme Goals:

Raising awareness for vague data and the respective difficulties in information use and processing in work environments. The main focus is on fuzzy-based application systems and how they cope with handling vague data. Additionally, cross-connections between business and IT are outlined.

Course Goals:

At the end of the course the students should be well grounded in the field of fuzzy sets and fuzzy systems. The students should know relevant terms and definitions and should be able to use them appropriately. Apart from that the students should be able to identify and analyze issues regarding vague data, to create solutions and should be able to apply concepts of fuzzy systems to new practical problems. In addition, interdisciplinary reasoning will be trained.

Key Qualifications:

Ability to identify and analyse problems independently. Ability to design solutions. Awareness of cross-connection issues between business and IT.

Course Contents:

The students get a deep insight into the following topics:
- Handling of vague data and fuzzy set theory basics
- Fuzzy-based approaches (for instance, fuzzy linear optimization, fuzzy clustering, fuzzy expert systems)
- application of fuzzy-based systems in businesses
- analyses of issues based on vague data by means of fuzzy approaches

Literature:

• Rausch, Peter/ Rommelfanger, Heinrich/ Stumpf, Michael/ Jehle, Birgit: Managing Uncertainties in the Field of Planning and Budgeting – An Interactive Fuzzy Approach. In: Proceedings of the 32nd SGAI Conference, Cambridge, 2012, Springer
• Rommelfanger, H. (1994), Fuzzy Decision Support Systeme, Springer Verlag.

Assessment/Examination:

Presentation (45 min), 50%
oral exam (15 min), 50%

Lecturer(s):

Prof. Dr. Rausch





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