Course Code & Number
IE 539
Course Title
Multi Criteria Decision Making
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Multi-objective decision making with mutually exclusive alternatives. Multi-criteria benefit and utility theories. Multi-objective ranking and classification. Multi-objective mathematical programming. Evolutionary multi-objective optimization. Interactive methods and applications.
Course Objectives
The fundamental goal of this course is to teach a framework for making decisions in the presence of conflicting objectives. The course aims to teach methods and algorithms that interact with the decision maker to solve multi-objective decision problems. These methods include multi-objective sorting and classification methods, evolutionary algorithms, and multi-objective mathematical programming. The course also aims to teach multi-attribute utility and value theories.
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Understand the mathematical foundations of multi-attribute utility and value theories (a)
2. Identify the conflicting objectives and develop alternatives for multi-criteria problems (k)
3. Apply appropriate techniques and methods to solve multi-criteria decision making problems (k)
4. Formulate mathematical programs to model the decision problem (e)
5. Develop interactive methods to incorporate the preferences of the decision maker (k)
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Reading
Problem Solving
Collaborating
Case Study/Scenarion Analysis
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Assessment Methods and Criteria Others:
Recommended Reading
1. Keeney, R. L., Raiffa, H. (1993), Decision with Multiple Objectives: Preferences and Value Tradeoffs, Cambridge University Press.
2. Steuer, R. E. (1986), Multiple Criteria Optimization: Theory, Computation and Application. Wiley.
3. Kirkwood, C. W. (1996), Strategic Decision Making: Multi-objective Decision Analysis with Spreadsheets, Duxbury Press.
4. Köksalan, M., Wallenius, J., and Zionts, S. (2011), Multiple Criteria Decision Making: From Early History to the 21st Century, Singapore: World Scientific.
Required Reading
1. Figueira, J., Greco, S., and Ehrgott, M. (2005), Multiple Criteria Decision Analysis: State of the Art Surveys, Springer.
Learning Activities and Teaching Methods Others:
Student Workload:
| Workload |
Hrs |
| Course Readings |
30 |
| Exams/Quizzes |
60 |
| Case Study Analysis |
40 |
Course & Program Learning Outcome Matching:
