Course unit code:
N400T4_4D
Course unit title:
Theory of Fuzzy Systems
Mode of completion and Number of ECTS credits:
Exm (3 credits)
Course supervisor:
doc. RNDr. Zdenko Takáč, PhD.
Name of lecturer(s):
Z. Takáč (2022/2023 – Winter)
Z. Takáč (2020/2021 – Winter)
Learning outcomes of the course unit:
Students acquire a higher level of knowledge in the theory fuzzy sets, fuzzy logic and aggregation techniques applied in fuzzy systems. They also acquaint with their applications in various areas. After finishing the course, the students are able to apply actively the presented notions and methods of the theory of fuzzy sets and fuzzy logic in solving problems in fuzzy control.
Prerequisites for registration:
none
Course contents:
1. Modeling vague notions by fuzzy sets

2. Logical connectives in fuzzy logics

3. Aggregation functions

4. Fuzzy arithmetic

5. Fuzzy relations

6. Approximate reasoning

7. Applications of fuzzy sets and fuzzy logic in fuzzy szstems
Recommended or required reading:
Basic:
  • KOLESÁROVÁ, A. – KOVÁČOVÁ, M. Fuzzy množiny a ich aplikácie. Bratislava: Vydavateľstvo STU v Bratislave, 2004. 166 s. ISBN 80-227-2036-4.
Recommended:
  • NAVARA, M. – OLŠÁK, P. Základy fuzzy množin. Praha : České vysoké učení technické v Praze, 2002. 136 s. ISBN 80-01-02585-3.
  • YUAN, B. – KLIR, G. Fuzzy Sets and Fuzzy Logic. Theory and Applications. London: Prentice Hall, 1995.
  • NOVÁK, V. Základy fuzzy modelování. Ostrava: Nakladateľstvo BEN-technická literatúra, 2000. 170 s. ISBN 80-7300-009-1.
  • NGUYEN, H T. – WALKER, E A. Fuzzy Logic. New York: Chapman and Hall, 2000.
Planned learning activities and teaching methods:
Lectures
Assesment methods and criteria:
Exam
Language of instruction:
Slovak, English
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