Multiple Criteria Decision Making
| Code | 3.7.3381.8 |
|---|---|
| Semester | 8th |
| Flow | O - Management and Decision Support Systems |
| Category | Obligatory by selection |
| Credits | 4 |
| Class Hours - Lab Hours | 3 - 0 |
| Lecturers | Haris Doukas, John Psarras, Ioanna Makarouni (T & R Associates) |
| Links | Course's Website |
| Web Platform |
Class 1:
Microsoft Teams
|
Description
The main objective of the Μultiple Criteria Decision Analysis (MCDA) is to support decision making in real life complex problems, with conflicting interests and goals, i.e. the “multiple criteria”. The basic feature of MCDA is the appropriate aggregation of different views and dimensions, taking into consideration the necessary preferences and values of the decision makers. Within this course, the overall philosophy and the methodological framework of the MCDA are outlined and the most important quantitative methods, namely the multiple criteria mathematical programming, the multi-attribute utility theory, the outranking methods and the disaggregation methods are presented in detail. Moreover, representative methods and models that can adequately capture and process the qualitative characteristics of the performance of efficient solutions in the problem criteria are also analyzed and practical application examples of MCDA from the fields of technology, management, economy and energy are presented as well.