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| ENDL5140 | Fuzzy Set Theory | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of INDUSTRIAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Hüseyin Avni ES | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To present fuzzy logic, to provide differences between fuzzy sets and classic sets, to present fuzzification and defuzzification operations, and to illustrate application area of fuzzy set theory |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | to have meaning of fuzzy logic | 2,8 | 1,5, | | PO - 2 : | to know differences between fuzzy sets and classic sets | 2,8 | 1,5, | | PO - 3 : | to know fuzzification and defuzzification operations | 2,8 | 1,5, | | PO - 4 : | to know artihmetic operation in fuzzy sets | 2,8 | 1,5, | | PO - 5 : | to have information about fuzzy logic aplications | 2,8 | 1,5, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Introduction to Fuzzy Set Theory , Classical Sets and Fuzzy Sets, Membership Functions, Classical Relations and Fuzzy Relations, Fuzzification and Defuzzification, Operations in Fuzzy Sets and Fuzzy Arithmetic, Fuzzy Logic Applications |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to Fuzzy Set Theory | | | Week 2 | Classical Sets and Fuzzy Sets | | | Week 3 | Membership Functions | | | Week 4 | Classical Relations and Fuzzy Relations | | | Week 5 | Fuzzification and Defuzzification | | | Week 6 | Fuzzification and Defuzzification | | | Week 7 | Operations in Fuzzy Sets and Fuzzy Arithmetic | | | Week 8 | Operations in Fuzzy Sets and Fuzzy Arithmetic | | | Week 9 | Midterm Exam | | | Week 10 | Fuzzy Logic Applications: Fuzzy Decision Making | | | Week 11 | Fuzzy Logic Applications: Fuzzy Classification | | | Week 12 | Fuzzy Logic Applications: IF-THEN Rules | | | Week 13 | Fuzzy Logic Applications: Latest Applicaiton in Literature | | | Week 14 | Students projects and presentations | | | Week 15 | Students projects and presentations | | | Week 16 | Final Exam | | | |
| 1 | Ross, T. J. (2005). Fuzzy logic with engineering applications. John Wiley and Sons. | | | |
| 1 | Mukaidono, M. (2001). Fuzzy logic for beginners. World Scientific. | | | 2 | Paksoy, T., Pehlivan, N. Y., Özceylan, E. (2013). Bulanik küme teorisi. Nobel Yayin, Ankara. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 25 | | Presentation | 13 | | 3 | 25 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 3 | 10 | 30 | | Arasınav | 2 | 3 | 6 | | Proje | 3 | 14 | 42 | | Dönem sonu sınavı için hazırlık | 4 | 14 | 56 | | Dönem sonu sınavı | 1 | 7 | 7 | | Total work load | | | 225 |
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