Measuring attractiveness through a categorical-based evaluation technique (MACBETH)[1][2][3] is a multiple-criteria decision analysis (MCDA) method that evaluates options against multiple criteria.
MACBETH was designed by Carlos António Bana e Costa, from the University of Lisbon with Professor Jean-Claude Vansnick and Dr. Jean-Marie De Corte, from the Université de Mons.[4]
The key distinction between MACBETH and other MCDA methods is that MACBETH needs only qualitative judgements about the difference of attractiveness between two elements at a time. It can then generate numerical scores for the options in each criterion and to weight the criteria.
The seven MACBETH semantic categories are: no, very weak, weak, moderate, strong, very strong, and extreme difference of attractiveness.[citation needed]
MACBETH has been extensively applied in various evaluation contexts, namely:[2]
Several decision support systems implement the MACBETH approach: