| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Fuzzy Logic | YZM414 | Elective | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Mehmet Zeki KONYAR
Learning Outcomes of the Course Unit
1) Knows the fuzzy logic methodology, its advantages and disadvantages.
2) Recognizes various fuzzy models
3) Can design a controller with fuzzy logic.
4) Design a fuzzy logic controller with Matlab and simulate the control system.
5) Knows in which situations fuzzy logic controller should be used.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | Low | Low | Middle | Low | No relation | No relation | No relation | Low | Low | No relation | Middle | Low | |
| 2 | Low | Low | Middle | Low | No relation | No relation | No relation | Low | Low | No relation | Middle | Low | |
| 3 | Low | Low | Middle | Low | No relation | No relation | No relation | Low | Low | No relation | Middle | Low | |
| 4 | Low | Low | Middle | Low | No relation | No relation | No relation | Low | Low | No relation | Middle | Low | |
| 5 | Low | Low | Middle | Low | No relation | No relation | No relation | Low | Low | No relation | Middle | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Fuzzy Sets Theory. Fuzzy Rules and Fuzzy Reasoning. Blurring, clarifying. Fuzzy Inference Systems. Mamdani Fuzzy Models. Sugeno's Fuzzy Models. Tsukamoto Fuzzy Models. Controller design with Fuzzy Logic. Fuzzy logic applications in industry. Industrial Fuzzy Logic controllers. Fuzzy logic applications in Matlab environment
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required