About: Measuring attractiveness by a categorical-based evaluation technique (MACBETH)

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Measuring attractiveness through a categorical-based evaluation technique (MACBETH) 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. The seven MACBETH semantic categories are: no, very weak, weak, moderate, strong, very strong, and extreme difference of attractiveness.

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  • Measuring attractiveness through a categorical-based evaluation technique (MACBETH) 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. 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. (en)
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  • Measuring attractiveness through a categorical-based evaluation technique (MACBETH) 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. The seven MACBETH semantic categories are: no, very weak, weak, moderate, strong, very strong, and extreme difference of attractiveness. (en)
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  • Measuring attractiveness by a categorical-based evaluation technique (MACBETH) (en)
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