Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | İŞ105 | Multiobjective Decision Making Methods I | Elective | 1 | 1 | 6 |
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Level of Course Unit |
Second Cycle |
Objectives of the Course |
Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), TOPSIS method (TOPSIS), Data Envelopment Analysis (DEA) and Goal Programming (R & D) approaches in multi-criteria decision making methods (MCDM) is to use in the solution. |
Name of Lecturer(s) |
Doç Dr. Hakan PABUÇCU |
Learning Outcomes |
1 | define the most basic techniques used in multi-criteria decision making methods. | 2 | estimate the impact of each of the multi-criteria decision-making methods used by decision-makers on firm success. | 3 | use analytical decision making techniques to solve real life problems. | 4 |
use multi-criteria decision-making methods to determine the most appropriate method for the needs, objectives and expectations of the company. | 5 | summarize the results based on information obtained from multi-criteria decision-making methods |
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Mode of Delivery |
Normal Education |
Prerequisites and co-requisities |
none |
Recommended Optional Programme Components |
none |
Course Contents |
Theoretical framework of Analytical Hierarchy Process (AHS), sample application for AHS, solution of AHS problems with superdecisions software, theoretical framework of Analytical Network Process (AAS), sample application for ANP, solving ANP problems with superdecisions software, TOPSIS theoretical frame, Sample Practice for TOPSIS, Theoretical framework of DEA, Sample Practice for DEA, Theoretical framework of Objective / Target Programming, Sample Practice for Objective / Target Programmi |
Weekly Detailed Course Contents |
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1 | | | | 2 | Theoretical framework of Analytical Hierarchy Process (AHS) | | | 3 | Sample application for AHS | | | 4 | Solving AHS problems with superdecisions software | | | 5 | Theoretical framework of Analytical Network Process (AAS) | | | 6 | Sample application for ANP | | | 7 | Solving ANP problems with superdecisions software | | | 8 | Theoretical framework of TOPSIS | | | 9 | exam | | | 10 | Sample Application for TOPSIS | | | 11 | The theoretical framework of VZA | | | 12 | Sample Practice for VZA | | | 13 | Objective / Objective The theoretical framework of programming | | | 14 | exam | | |
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Recommended or Required Reading |
Yoon, K.P., Hwang, C.L., 1995, Multiple Attribute Decision Making: An Introduction, Sage Publications, Thousand Oaks.
Saaty, T.L., Saaty, R.W., Decision Making In Complex Environments: The Analytic Hierarchy Process (AHP) for decision making and The Analytic Network Process (ANP) for decision making with dependence and feedback, RWS Publications, Pittsburg
Saaty, T.L., 1999, Decision Making for Leaders: The Analytic Hierarchy Process for Decisions in a Complex World, RWS Publications |
Planned Learning Activities and Teaching Methods |
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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 | | Work Placement(s) | none |
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Workload Calculation |
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Midterm Examination | 1 | 1 | 1 |
Final Examination | 1 | 1 | 1 |
Self Study | 14 | 4 | 56 |
Individual Study for Mid term Examination | 14 | 4 | 56 |
Individual Study for Final Examination | 14 | 4 | 56 |
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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 |
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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