FI:IA056 Fuzzy Sets and Their Applicati - Course Information

IA056 Fuzzy Sets and Their Applications

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

Thu 18:00–19:50 B410

Prerequisites (in Czech)

! I056 Fuzzy Sets and Their Applications

Course Enrolment Limitations

The course is only offered to the students of the study fields 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 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 je formou přednášek včetně ukázek možnosti aplikací. Zkouška je písemná.

Language of instruction

Czech

Further Comments

Study Materials

• Enrolment Statistics (Spring 2004, recent)
  
• Permalink: https://is.muni.cz/course/fi/spring2004/IA056