1. A New Approach to Teaching Fuzzy Logic System Design Emine Inelmen, Erol Inelmen, Ahmad Ibrahim Padova University, Padova, Italy Bogazici University, Istanbul, Turkey DeVry Institute of Technology, Toronto, Ontario, Canada

2. EXPERT ENGINEER USER

3. INTRODUCTION DISCUSSION CONCLUSION

4. THEORY PRACTICE RESEARCH

5. TEXTBOOKS CATALOGUES JOURNALS

6. Fig. 1. Examples of image warping (from the source to the target figure [15]

7. RULES FUNCTIONS OPERATIONS

8. 'grade' 'literacy‘ 'computancy‘ 'motivation‘ 'attendance‘ 'search‘ 'artistic‘ 'work‘ 'grade'

9. Yen, J. Langari; R., Fuzzy Logic: Intelligence, Control, and Information. Upper Saddle River, Prentice Hall, N.J. (1999).

10. Fuzzy Logic logic iak fuzzy set uses rules uses has smooth set iak boundaries element has antecendent consequent has range has universe has name number can be membership type crip set has membership function membership degree possibility iak value defines has defines define linguistic variablehas term uses inference operator uses hedge can have solves by implication aggregation defuzzification turns to reduces by has two can be multi 19.06.03 fuzzification turns to fires relation forms T-norm T-conorm uses modifier

11. ANFIS GA CBR

12. Acknowledgement The support given by Dr. Zenon J. Pudlowski is acknowledged. Science can only develop when organizations like UICEE create strong networks between researches in different fields and geographies.