EECS 4120 - Intro. to Fuzzy Systems and Applications Course Syllabus
Credits/Contact Hours
3 credit hours & 150 minutes lecture contact per week.
Instructor's Name
Dr. Devinder Kaur
Textbook
Timothy Ross, "Fuzzy Logic with Engineering Applications", John Wiley and Sons, Second
Edition.
Course Information
Introduction to Fuzzy Rule Based Intelligent Systems. Basic Concepts of Fuzzy logic,
Fuzzy Sets, Fuzzy Arithmetic, Fuzzy Relations, Fuzzy Graphs, Approximate Reasoning
and Fuzzy Implications. Applications of Fuzzy logic in Intelligent Control, System
Identification, Pattern Recognition, Image Processing and development of Intelligent
Agents. Hybrid Fuzzy Systems and other Emerging Topics.
Prerequisite: EECS 2110
Elective course for CSE program.
Topics
1. Introduction to Fuzzy Logic
2. Fuzzy Set Theory
3. Fuzzy Arithmetic
4. Fuzzy Relations
5. Possibility Theory
6. Fuzzy Inference
7. Approximate Reasoning
8. Fuzzy Logic in Databases
9. Information Retrieval with Fuzzy Logic 10. Fuzzy Intelligent Agents
11. Fuzzy Clusters
12. Fuzzy Hierarchical Control
13. Automotive Applications
14. Computer Network Applications
15. Medical Applications
16. Fuzzy Decision Trees
17. Knowledge Engineering and Data Mining