Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| FUZZY LOGIC and MODELING | EECD1212924 | Spring Semester | 3+0 | 3 | 8 |
| Course Program | Perşembe 13:30-14:15 Perşembe 14:30-15:15 Perşembe 15:30-16:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Zekai ŞEN |
| Name of Lecturer(s) | Prof.Dr. Zekai ŞEN |
| Assistant(s) | |
| Aim | Developing engineering applications by making verbal solutions with logic and especially fuzzy logic principles instead of mathematical modeling and analysis with numerical data; determination of exact and fuzzy logic principles and modeling principles; teaching the solutions of these methods in the information and computer environment and putting them into practice. |
| Course Content | This course contains; Science philosophy, words, sentences,Logic principles, ANDing, ORing, NOTing,,Logical prepositions,Two-valued, multiple-valued logics,Fuzzy logic principles,Classical and fuzzy sets, membership degree and function,Fuzzy set allocations,Fuzzification of engineering equations,Fuzzification, Defuzzification,Fuzzy logic base, maximization, minimization operations,Fuzzy models and inferences, Mamdani and Sugeno models,Defuzzification of fuzzy outputs, centroid, arithmetic and weighted averages, maximum and minimum membership degrees,Various engineering applications,Closure. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Solves problems by fuzzy logic instead of bivalent logic. | 16, 19, 20, 9 | A, E |
| Fuzzifies engineering equations. | 16, 19, 20, 9 | A, E |
| Solves various engineering problems with fuzzy logic concepts. | 16, 19, 20, 9 | A, E |
| Makes verbal inferences. | 16, 19, 20, 9 | A, E |
| Teaching Methods: | 16: Question - Answer Technique, 19: Brainstorming Technique, 20: Reverse Brainstorming Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Science philosophy, words, sentences | Previewing book and lecture notes. |
| 2 | Logic principles, ANDing, ORing, NOTing, | Previewing book and lecture notes. |
| 3 | Logical prepositions | Previewing book and lecture notes. |
| 4 | Two-valued, multiple-valued logics | Previewing book and lecture notes. |
| 5 | Fuzzy logic principles | Previewing book and lecture notes. |
| 6 | Classical and fuzzy sets, membership degree and function | Previewing book and lecture notes. |
| 7 | Fuzzy set allocations | Previewing book and lecture notes. |
| 8 | Fuzzification of engineering equations | Previewing book and lecture notes. |
| 9 | Fuzzification, Defuzzification | Previewing book and lecture notes. |
| 10 | Fuzzy logic base, maximization, minimization operations | Previewing book and lecture notes. |
| 11 | Fuzzy models and inferences, Mamdani and Sugeno models | Previewing book and lecture notes. |
| 12 | Defuzzification of fuzzy outputs, centroid, arithmetic and weighted averages, maximum and minimum membership degrees | Previewing book and lecture notes. |
| 13 | Various engineering applications | Previewing book and lecture notes. |
| 14 | Closure | Previewing book and lecture notes. |
| Resources |
| Şen, Z., (2009). Bulanık Mantık İLkeleri ve MOdelleme (Mühendislik ve Sosyal Bilimler). Genişletilmiş 3. Baskı, Su Vakfı Yayınları, 360 sayfa. Şen, Z., (2015). Philosophical, Logical and Scientific Perspectives in Engineering. SPringed Verlag, 310 sayfa. Ross, J.V., (1995).Fuzzy Logic with Engineering Applications.Mac-Graw-Hill, Inc., New York, 593 pages |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications. | X | |||||
| 2 | Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas. | X | |||||
| 3 | Evaluate and use new information within the field in a systematic approach and gain advanced level skills in the use of research methods in the field. | X | |||||
| 4 | Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field. | X | |||||
| 5 | Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals. | X | |||||
| 6 | Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements. | X | |||||
| 7 | Independently perceive, design, apply, finalize and conduct a novel research process. | X | |||||
| 8 | Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level. | X | |||||
| 9 | Critical analysis, synthesis and evaluation of new and complex ideas in the field. | X | |||||
| 10 | Recognizes the scientific, technological, social or cultural improvements of the field and contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 40 | 40 | |||
| Term Project | 1 | 40 | 40 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 1 | 50 | 50 | |||
| General Exam | 1 | 70 | 70 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 242 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(242/30) | 8 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| FUZZY LOGIC and MODELING | EECD1212924 | Spring Semester | 3+0 | 3 | 8 |
| Course Program | Perşembe 13:30-14:15 Perşembe 14:30-15:15 Perşembe 15:30-16:15 |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Elective |
| Course Coordinator | Prof.Dr. Zekai ŞEN |
| Name of Lecturer(s) | Prof.Dr. Zekai ŞEN |
| Assistant(s) | |
| Aim | Developing engineering applications by making verbal solutions with logic and especially fuzzy logic principles instead of mathematical modeling and analysis with numerical data; determination of exact and fuzzy logic principles and modeling principles; teaching the solutions of these methods in the information and computer environment and putting them into practice. |
| Course Content | This course contains; Science philosophy, words, sentences,Logic principles, ANDing, ORing, NOTing,,Logical prepositions,Two-valued, multiple-valued logics,Fuzzy logic principles,Classical and fuzzy sets, membership degree and function,Fuzzy set allocations,Fuzzification of engineering equations,Fuzzification, Defuzzification,Fuzzy logic base, maximization, minimization operations,Fuzzy models and inferences, Mamdani and Sugeno models,Defuzzification of fuzzy outputs, centroid, arithmetic and weighted averages, maximum and minimum membership degrees,Various engineering applications,Closure. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Solves problems by fuzzy logic instead of bivalent logic. | 16, 19, 20, 9 | A, E |
| Fuzzifies engineering equations. | 16, 19, 20, 9 | A, E |
| Solves various engineering problems with fuzzy logic concepts. | 16, 19, 20, 9 | A, E |
| Makes verbal inferences. | 16, 19, 20, 9 | A, E |
| Teaching Methods: | 16: Question - Answer Technique, 19: Brainstorming Technique, 20: Reverse Brainstorming Technique, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Science philosophy, words, sentences | Previewing book and lecture notes. |
| 2 | Logic principles, ANDing, ORing, NOTing, | Previewing book and lecture notes. |
| 3 | Logical prepositions | Previewing book and lecture notes. |
| 4 | Two-valued, multiple-valued logics | Previewing book and lecture notes. |
| 5 | Fuzzy logic principles | Previewing book and lecture notes. |
| 6 | Classical and fuzzy sets, membership degree and function | Previewing book and lecture notes. |
| 7 | Fuzzy set allocations | Previewing book and lecture notes. |
| 8 | Fuzzification of engineering equations | Previewing book and lecture notes. |
| 9 | Fuzzification, Defuzzification | Previewing book and lecture notes. |
| 10 | Fuzzy logic base, maximization, minimization operations | Previewing book and lecture notes. |
| 11 | Fuzzy models and inferences, Mamdani and Sugeno models | Previewing book and lecture notes. |
| 12 | Defuzzification of fuzzy outputs, centroid, arithmetic and weighted averages, maximum and minimum membership degrees | Previewing book and lecture notes. |
| 13 | Various engineering applications | Previewing book and lecture notes. |
| 14 | Closure | Previewing book and lecture notes. |
| Resources |
| Şen, Z., (2009). Bulanık Mantık İLkeleri ve MOdelleme (Mühendislik ve Sosyal Bilimler). Genişletilmiş 3. Baskı, Su Vakfı Yayınları, 360 sayfa. Şen, Z., (2015). Philosophical, Logical and Scientific Perspectives in Engineering. SPringed Verlag, 310 sayfa. Ross, J.V., (1995).Fuzzy Logic with Engineering Applications.Mac-Graw-Hill, Inc., New York, 593 pages |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Develop and deepen the current and advanced knowledge in the field with original thought and/or research and come up with innovative definitions based on Master's degree qualifications. | X | |||||
| 2 | Conceive the interdisciplinary interaction which the field is related with ; come up with original solutions by using knowledge requiring proficiency on analysis, synthesis and assessment of new and complex ideas. | X | |||||
| 3 | Evaluate and use new information within the field in a systematic approach and gain advanced level skills in the use of research methods in the field. | X | |||||
| 4 | Develop an innovative knowledge, method, design and/or practice or adapt an already known knowledge, method, design and/or practice to another field. | X | |||||
| 5 | Broaden the borders of the knowledge in the field by producing or interpreting an original work or publishing at least one scientific paper in the field in national and/or international refereed journals. | X | |||||
| 6 | Contribute to the transition of the community to an information society and its sustainability process by introducing scientific, technological, social or cultural improvements. | X | |||||
| 7 | Independently perceive, design, apply, finalize and conduct a novel research process. | X | |||||
| 8 | Ability to communicate and discuss orally, in written and visually with peers by using a foreign language at least at a level of European Language Portfolio C1 General Level. | X | |||||
| 9 | Critical analysis, synthesis and evaluation of new and complex ideas in the field. | X | |||||
| 10 | Recognizes the scientific, technological, social or cultural improvements of the field and contribute to the solution finding process regarding social, scientific, cultural and ethical problems in the field and support the development of these values. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |