I056 Fuzzy Sets and Their Applications

Faculty of Informatics
Spring 2002
Extent and Intensity
2/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. Ing. Jan Žižka, CSc. (lecturer)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: doc. Ing. Jan Žižka, CSc.
Timetable
Wed 16:00–17:50 B003
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The goal of this subject is to introduce fuzzy-set theory and its applications to areas such as control, decision making, databases, etc. This subject is not mathematically oriented and aims at understanding of basic concepts and applications in those areas, where users need to process approximate information.
Syllabus
  • Fuzzy sets and classical sets. Definitions, basic operations.
  • Two- and multi-valued logic, fuzzy logic. Extension principle.
  • Fuzzy relations, projection, cylindrical extension. Fuzzy numbers, fuzzy arithmetic.
  • Fuzzy rules. Approximate reasoning. Fuzzy implication, fuzzy inference. t-norms, s-norms.
  • Fuzzy expert systems. Fuzzy control.
  • Fuzzy databases, fuzzy GIS.
  • Other applications.
Literature
  • Yen, J. and Langari, R.: Fuzzy Logic: Intelligence, Control, and Information. Prentice Hall, 1999.
Assessment methods (in Czech)
Výuka formou přednášek. Zkouška písemná.
Language of instruction
Czech
The course is also listed under the following terms Spring 1997, Spring 1998, Spring 2001.
  • Enrolment Statistics (recent)
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