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

  1. ↑ Bana e Costa CA, De Corte J-M, Vansnick J-C. MACBETH. International Journal of Information Technology & Decision Making. 2012;11(02):359-87.
  2. 1 2 Bana e Costa CA, De Corte JM, Vansnick JC. On the mathematical foundations of MACBETH. In: Figueira J, Greco S, Ehrgott M, (Eds.) Multiple Criteria Decision Analysis: The State of the Art Surveys. New York: Springer; 2005. p. 409-42.
  3. 1 2 Bana e Costa CA, Chagas MP. A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments. European Journal of Operational Research. 2004;153(2):323-31.
  4. 1 2 Bana e Costa, C. A., J. C. Lourenço, et al. (2007). "An interval weighting assignment model for credit analysis." Journal of Financial Decision Making 3(2): 1-9.
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