Information Package / Course Catalogue
Fuzzy Logic
Course Code: CSE429
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

To be able to model modern control systems with fuzzy theory. To show the application areas of fuzzy logic control systems. Graduate students to have a good basic knowledge to grow up, adapt to technological developments to create an infrastructure.

Course Content

The concept of uncertainty (Methods, Sets, Basic concepts), Classical systems, Membership functions, Comparison of fuzzy logic structures with logic systems, Fuzzy mathematical operations, Set relations in fuzzy logic, Definition of rules in fuzzy logic, Verbal definitions (lingustic), Linear and nonlinear Fuzzy logic system applications.

Name of Lecturer(s)
Learning Outcomes
1. To be able to explain the differences between classical and fuzzy sets.
2. To be able to do cluster operations on fuzzy sets.
3. To be able to do arithmetic operations with fuzzy numbers.
4. Ability to solve problems using verbal variables.
5. To be able to interpret turbidity-containing systems.
Recommended or Required Reading
1.Radim Belohlavek and George J. Klir , "Concepts and Fuzzy Logic" , MIT Press, 2011.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to fuzzy logic control systems, history of fuzzy logic, What is fuzzy logic? What are the benefits?
Week 2 - Theoretical
Fuzzy set theory and applications
Week 3 - Theoretical
Fuzzy Logic Theory, Classical Logic Theory, Boolean Algebra, Fuzzy Relations
Week 4 - Theoretical
Fuzzy Logic Applications (Stability of Discrete Time Dynamic Fuzzy Systems)
Week 5 - Theoretical
Fuzzy Logic Applications (Stability of Discrete Time Dynamic Fuzzy Systems)
Week 6 - Theoretical
Fuzzy Control Systems (theory of traditional or classical control systems)
Week 7 - Theoretical
Fuzzy Control Systems (Frequency domain analysis for single input, single output (SISO) linear control systems)
Week 8 - Theoretical
Fuzzy Control Systems (Frequency domain analysis for single input, single output (SISO) linear control systems)
Week 9 - Theoretical
Fuzzy Control Systems (mathematical theory of multiple input multiple output (MIMO) linear and nonlinear systems)
Week 10 - Theoretical
Fuzzy Control Systems (Industrial Applications, PLC, Embedded Processors applications)
Week 11 - Theoretical
Likelihood theory
Week 12 - Theoretical
Fuzzy arithmetic
Week 13 - Theoretical
Fuzzy propositions
Week 14 - Theoretical
Smoothing Methods
Assessment Methods and Criteria
Type of AssessmentCountPercent
Project1%30
Midterm Examination1%30
Final Examination1%40
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice142256
Project110010
Midterm Examination110111
Final Examination115217
TOTAL WORKLOAD (hours)150
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
3
3
3
3
3
3
3
3
3
3
3
OÇ-2
3
3
3
3
3
3
3
3
3
3
3
OÇ-3
3
3
3
3
3
3
3
3
3
3
3
OÇ-4
3
3
3
3
3
3
3
3
3
3
3
OÇ-5
3
3
3
3
3
3
3
3
3
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026