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


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.