CENG 386
Fuzzy Logic Systems
Analyse the mathematical basics of fuzzy logics; analyse properties of theoretical fuzzy logical systems; model flexible human logics using fuzzy systems; develop applications of sample fuzzy systems.
Course Objectives
1.Learn the mathematical basics of fuzzy logics.
2.Learn properties of fuzzy logical systems.
3.Develop sample applications that mimic the flexible logic of human.
Recommended or Required Reading
Nguyen, Hung. T; Walker, Elbert A.; 2005; “A First Course in Fuzzy Logic”, 3rd Edition; Chapman & Hall/CRC; ISBN-10: 1584885262; ISBN-13: 978-1584885269 ,Yen, John; Langari, Reza; 1999; “Fuzzy Logic: Intelligence, Control, and Information”; Prentice Hall; ISBN-10: 0135258170; ISBN-13: 9780135258170 ,Sivanandam, S.N.; Sumathi, S.; Deepa, S.N.; 2006; “Introduction to Fuzzy Logic Using MATLAB”; Springer; ISBN-10: 3540357807; ISBN-13: 978-3540357803
Learning Outcomes
1. Model adaptive logic using fuzzy logic
2. Simulate flexible system behaviours using fuzzy logic
3. Develop possibilistic systems
4. Evaluate reasonable system behaviour
| Topics |
| Introduction |
| Fuzzy set theory |
| Fuzzy algebra |
| Fuzzy connectives and relations |
| Approximate reasoning |
| Fuzzy control |
| Evaluation |
| Fuzzy system simulation environments |
| Fuzzy logic simulation environments |
| Fuzzy logic simulation environments |
| Possibility theory |
| Incomplete data management |
| Fuzzy measures |
| Fuzzy logical soft computing |
Grading
Midterm: 10%
Quiz: 10%
Homework: 10%
Presentation: 20%
Final: 30%
