| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | İŞ126 | Multiobjective Decision Making Methods II | Elective | 1 | 2 | 6 |
|
| Level of Course Unit |
| Second Cycle |
| Objectives of the Course |
| Fuzzy Analytical Hierarchy Process (Fuzzy AHP), Fuzzy ANP, Fuzzy TOPSIS (Fuzzy TOPSIS), Fuzzy Data Envelopment Analysis (Fuzzy DEA) To use Fuzzy Goal Programming approaches to solve production / operations research problems. |
| Name of Lecturer(s) |
| Doç. Dr. Hakan Pabuçcu |
| Learning Outcomes |
| 1 | describe the most basic techniques used in fuzzy multi-criteria decision making methods. | | 2 | estimate the impact of each of the fuzzy multi-criteria decision-making methods used by decision-makers on firm success. | | 3 | use analytical decision making techniques to solve real life problems. | | 4 | Using fuzzy multi-criteria decision-making methods, they can determine the most appropriate method for the needs, objectives and expectations of the firm. | | 5 | summarize the results based on the information obtained from fuzzy multi-criteria decision-making methods. |
|
| Mode of Delivery |
| Normal Education |
| Prerequisites and co-requisities |
| none |
| Recommended Optional Programme Components |
| none |
| Course Contents |
| Fuzzy AHP (Fuzzy Analytic Hierarchy Process), Fuzzy ANP (Fuzzy Analytic Network Process), Fuzzy TOPSIS, Fuzzy VZA (Fuzzy Data Envelopment Analysis), Fuzzy Target Programming. |
| Weekly Detailed Course Contents |
|
| 1 | Course introduction and content | | | | 2 | Theoretical framework of Fuzzy Analytic Hierarchy Process (BAHS) | | | | 3 | Sample application for BAHS | | | | 4 | Solving BAHS problems with the help of excel | | | | 5 | Theoretical framework of Fuzzy Analytical Network Process (BAAS) | | | | 6 | Sample application for BAAS | | | | 7 | Solving BAAS problems with the help of excel | | | | 8 | Theoretical framework of fuzzy TOPSIS | | | | 9 | exam | | | | 10 | Sample Practice for Fuzzy TOPSIS | | | | 11 | Theoretical framework of fuzzy DEA | | | | 12 | Sample Application for Fuzzy DEA | | | | 13 | Sample Application for Fuzzy DEA | | | | 14 | final exam | | |
|
| Recommended or Required Reading |
| Saaty, T.L., 1999, Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs, and Risks, RWS Publications
Chen, S.J., Hwang, C.L. 1992, Fuzzy Multiple Attribute Decision Making Methods and Applications, Berlin: Springer-Verlag. |
| Planned Learning Activities and Teaching Methods |
|
| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | none |
|
| Workload Calculation |
|
| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 2 | 2 |
| Attending Lectures | 14 | 4 | 56 |
| Self Study | 14 | 3 | 42 |
| Individual Study for Mid term Examination | 1 | 35 | 35 |
| Individual Study for Final Examination | 1 | 35 | 35 |
|
| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 4 | 1 | 2 | 5 | 4 | 4 | | LO2 | 5 | 2 | 1 | 5 | 5 | 5 | | LO3 | 4 | 2 | 2 | 5 | 5 | 5 | | LO4 | 5 | 2 | 2 | 5 | 4 | 4 | | LO5 | 5 | 1 | 2 | 5 | 5 | 4 |
|
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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