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FACULTY of ENGINEERING / DEPARTMENT of COMPUTER ENGINEERING / (30%) English
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BIL4006Fuzzy Logic3+0+0ECTS:4
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Elective
DepartmentDEPARTMENT of COMPUTER ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face, Group study
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. İsmail Hakkı ALTAŞ
Co-LecturerNone
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The main objectives of this course are to provide the student with a clear presentation of the basic concepts and principles of fuzzy logic and its applications in various areas especially in automatic control systems.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : learn fuzzy set theory, fuzzy logic, properties of fuzzy sets and fuzzy logic.2,3,4,121,3,6
LO - 2 : apply fuzzy operators. Fuzzy relation, extension principles.2,3,4,121,3,6
LO - 3 : apply fuzzy approximate reasoning. Fuzzy rules, fuzzification and defuzzification.2,3,4,121,3,6
LO - 4 : develope fuzzy logic controllers. and extend their knowledge to other applications of fuzzy logic.2,3,4,121,3,6
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), LO : Learning Outcome

 
Contents of the Course
Fuzzy set theory, fuzzy logic, properties of fuzzy sets and fuzzy logic. Fuzzy operators. Fuzzy relation, extension principles. Fuzzy approximate reasoning. Fuzzy rules, fuzzification and defuzzification. Fuzzy logic controllers. Other applications of fuzzy logic.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1The concept of fuzzy proximity
 Week 2Fuzzy sets, Membership function
 Week 3Fuzzy sets specifications
 Week 4Basic fuzzy operations
 Week 5Quiz, Type-2 Fuzzy Sets
 Week 6Fuzzy relations and association
 Week 7Uncertainty of the fuzzy model: Fuzzy clustering and sharing
 Week 8Fuzzy rule table
 Week 9Mid-term exam
 Week 10Models of physical systems and control added a brief glance
 Week 11Fuzzy logic controller design and simulation
 Week 12short exam
 Week 13Different fuzzy logic application examples
 Week 14All matters related to Matlab / Simulink and the examples I
 Week 15All matters related to Matlab / Simulink and the examples II
 Week 16End-of-term exam
 
Textbook / Material
1Altaş, İ.H., Ders sunum notları, Basılmamış, KTÜ
 
Recommended Reading
1Jang, J.S.R., Sun, C.T. and Mizutani, E., 1996; Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall
2Nauck, D., Klawonn, F., Kruse, R., 1997; Foundations of Neuro-Fuzzy Systems, Wiley
3Ross, T.J., 1995; Fuzzy Logic with Engineering Applications, McGraw-Hill Book Company
4Passino, K.M., Yurkovich, S., 1998; Fuzzy Control, Addison-Wesley-Longman.
5Lin, 1996; Neural Fuzzy Systems: A Neuro-Fuzzy Synergism, Prentice Hall.
6Klir, G.J. and Folger, T.A., 1988; Fuzzy Sets, Uncertainity, and Information
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 2 30
Quiz 5
12		 1 10
Project 14 10 10
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 3 10 30
Laboratuar çalışması 0 0 0
Arasınav için hazırlık 2 7 14
Arasınav 2 1 2
Uygulama 0 0 0
Klinik Uygulama 0 0 0
Ödev 0 0 0
Proje 1 10 10
Kısa sınav 0 1 0
Dönem sonu sınavı için hazırlık 1 5 5
Dönem sonu sınavı 2 1 2
Diğer 1 0 0 0
Diğer 2 0 0 0
Total work load105