Measuring attractiveness through a categorical-based evaluation techniqueBana e Costa CA, De Corte J-M, Vansnick J-C. MACBETH. International Journal of Information Technology & Decision Making. 2012;11(02):359–87.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. pp. 409–42.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. 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. Several decision support systems implement the MACBETH approach , namely : Decision-making software M-MACBETH,Bana Consulting. M-MACBETH Version 1.1:User's Guide. 2005. mini-MACBETH (within HIVIEW3) CA-MACBETH  
Measuring attractiveness through a categorical-based evaluation technique (MACBETH)Bana e Costa CA, De Corte J-M, Vansnick J-C. MACBETH. International Journal of Information Technology & Decision Making. 2012;11(02):359–87.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. pp. 409–42.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. 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. Several decision support systems implement the MACBETH approach : Decision-making software M-MACBETH,Bana Consulting. M-MACBETH Version 1.1:User's Guide. 2005. mini-MACBETH (within HIVIEW3) CA-MACBETH External links Carlos António Bana e Costa CA-MACBETH M-MACBETH mini-MACBETH (within HIVIEW3)
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technique (MACBETH)Bana
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the goal of the MACBETH approach that
a multiple-criteria decision analysis (MCDA) method that evaluates options against multiple criteria.
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MACBETH
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MACBETH permits the evaluation of options against multiple criteria.
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multiple-criteria decision analysis (MCDA )
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External links
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Carlos António Bana e Costa CA-MACBETH M-MACBETH mini-MACBETH (within HIVIEW3)