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Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH) : ウィキペディア英語版 | Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH)
Measuring Attractiveness through a Category Based Evaluation Technique 〔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. p. 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. == Uses and applications == MACBETH has been extensively applied in various evaluation contexts, namely:〔
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