Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH)

Measuring Attractiveness through a Category Based Evaluation Technique [1][2][3] is the goal of the MACBETH approach that was designed by Carlos António Bana e Costa, from the University of Lisbon, in cooperation with Professor Jean-Claude Vansnick and Dr. Jean-Marie De Corte, from the Université de Mons.

MACBETH permits the evaluation of options against multiple criteria. The key distinction between MACBETH and other Multiple-criteria decision analysis (MCDA) methods is that it needs only qualitative judgements about the difference of attractiveness between two elements at a time, in order to 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.

Uses and applications

MACBETH has been extensively applied in various evaluation contexts, namely:[2]

Agriculture, Manufacturing & Services

Energy

Environment

Medical

Military

Public Sector

Others

Decision Support Systems

Several DSS implement the MACBETH approach, namely:

References

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