IA056 Fuzzy Sets and Their Applications

Faculty of Informatics
Spring 2006
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. RNDr. Jiří Hřebíček, CSc.
RECETOX – Faculty of Science
Contact Person: doc. Ing. Jan Žižka, CSc.
Timetable
Wed 18:00–19:50 B411
Prerequisites (in Czech)
! I056 Fuzzy Sets and Their Applications
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
there are 6 fields of study the course is directly associated with, display
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 strictly 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.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2003, Spring 2004, Spring 2007.
  • Enrolment Statistics (Spring 2006, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2006/IA056