Introduction to Fuzzy Modelling and Analysis 420-IS2-1MSR-22
Course profile: General Academic
Form of study: Full-time studies
Course type: Obligatory
Field and discipline of science: natural sciences, computer science
Year/semester of study: 1 / 2
Prerequisites (sequential system of courses and exams):
Lecture: 30 Laboratory classes: 15
Teaching methods: lectures, laboratory exercises, individual consultations, individual literature study
ECTS credits: 4
Balance of student workload:
Class attendance:
- lecture 30h
- laboratory classes 15h
Course preparation:
- laboratory classes 8h
Literature study: 8h
Reports, homeworks: 12h
Preparation for tests: 5h
Preparation for the exam: 8h
Exam duration: 2h
Individual consultation with the teacher: 5h
Student workload:
With direct interaction with the teacher: 52h, 2.4 ECTS
Without direct interaction with the teacher: 41h, 1.6 ECTS
Type of course
Course coordinators
Learning outcomes
Knowledge:
1. The student knows the basic concepts of fuzzy sets, the types of membership functions and their disadvantages and advantages. KA7_WG4, KP7_KR1
2. The student knows arithmetic operations on fuzzy numbers, extension principle of adding, subtracting, multiplying and dividing fuzzy numbers and L-R representation of the fuzzy number. KA7_WG4, KP7_KR1
3. The student knows the structure of the fuzzy model, the main elements and operations, the basic fuzzy models. KA7_WG4, KP7_KR1
Skills:
4. The student can apply arithmetic operations on fuzzy numbers. KA7_UW2, KP7_UU2, KP7_KR1, KP7_UO4
5. The student can create a fuzzy model of phenomenon/process and perform fuzzy control using fuzzy models. KA7_UW2, KP7_UU2, KP7_KR1, KP7_UO4
Assessment criteria
Exam. Assessment of laboratory exercises: exercises reports, activity in the class and written test.
Bibliography
Obligatory literature:
1. K. Michels, F. Klawonn, R. Kruse, A. Nürnberger, Fuzzy Control: Fundamentals, Stability and Design of Fuzzy Controllers, 2006, https://link.springer.com/book/10.1007%2F3-540-31766-X
2. B. Bede, Mathematics of Fuzzy Sets and Fuzzy Logic, 2013, https://link.springer.com/book/10.1007%2F978-3-642-35221-8
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: