The Program includes the following topics:

  • Introduction to MCDA/MCDM
  • Applications in real world problems
  • Value-Focused Thinking and Problem Structuring
  • Preference Modelling
  • Outranking Methods
  • MAVT/MAUT (Multi-Attribute Value/Utility Theory)
  • Robust Ordinal Regression
  • Multiobjective Optimization
  • Decision Rule Approach
  • MCDM Group Decision
  • Interactive Methods of Multiobjective Optimization (IMMO)
  • Multiobjective Combinatorial Optimization (MOCO)
  • Evolutionary Multiobjective Optimization (EMO)
  • Biases in Decision Making
  • Fuzzy Modeling in MCDM Problems
  • Decision Deck
  • Scientific writing and publication strategy
  • MCDM community and History
  • Caseworks

These topics are allocated in the following schedule: