| Code | Name of the Course Unit | Semester | In-Class Hours (T+P) | Credit | ECTS Credit |
|---|---|---|---|---|---|
| BIL413 | FUZZY LOGIC | 5 | 3 | 3 | 6 |
Objectives and Contents |
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|---|---|
| Objectives: | To introduce the students relatively new paradigm fuzzy access to some part of the classical mathematics and logic. To show how to model fuzzy sets, how to handle with arithmetic of fuzzy quantities, and to acquire operations with fuzzy relations. To understand the mechanism of fuzzy reasoning and the role the essential models in fuzzy inference. |
| Content: | General approach in fuzzy logic, fuzzy sets, relations and arithmetic. The relation between fuzzy logic and the other theories such as possibility and probability theory. Fuzzy inference systems. Hybrid methods in fuzzy inference. Fuzzy clustering. Examination of common application areas: Decision making, pattern recognition, data base, data mining. Fuzzy logic and artificial intelligence. |