Measuring attractiveness by a categorical-based evaluation technique

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Short description: Multiple-criteria decision analysis method

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]

Uses and applications

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

Agriculture, manufacturing, and services

Energy

Environment

Medical

Military

Public sector

Others

Decision support systems

Several decision support systems implement the MACBETH approach:

References

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