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

  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. ↑ 2.0 2.1 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.
  3. ↑ 3.0 3.1 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. ↑ Bana e Costa, Carlos A; Vansnick, Jean-Claude (1999). "The MACBETH Approach: Basic Ideas, Software, and an Application". Advances in Decision Analysis. Mathematical Modelling: Theory and Applications. 4. Springer. pp. 131–157. doi:10.1007/978-94-017-0647-6_9. ISBN 978-90-481-5167-7. https://link.springer.com/chapter/10.1007/978-94-017-0647-6_9. 
  5. ↑ 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.
  6. ↑ Bana e Costa, C. A., L. Barroso, et al. (2002). "Qualitative modelling of credit scoring: A case study in banking." Journal of European Research Studies 5(1-2): 37–51.
  7. ↑ Bana e Costa, C. A. and J. O. Soares (2004). "A multicriteria model for portfolio management." European Journal of Finance 10(3): 198–211.
  8. ↑ Bortuluzzi, S. C., S. R. Ensslin, et al. (2010). "Avaliação de Desempenho dos Aspectos Tangíveis e Intangíveis da Área de Mercado: Estudo de caso em uma média empresa industrial." Revista Brasileira de Gestão de Negócios 12(37): 425–446.
  9. ↑ Bortuluzzi, S. C., S. R. Ensslin, et al. (2011). "Avaliação de desempenho das variáveis financeiras e não financeiras que respondem pelo desempenho de uma indústria de móveis." Revista Gestão Industria 7(2): 24–47.
  10. ↑ Bortuluzzi, S. C., S. R. Ensslin, et al. (2011b). "Avaliação de desempenho económico-financeiro: Uma proposta de integração de indicadores contábeis tradicionais por meio da Metodologia Multicritério de Apoio à Decisão Construtivista (MCDA-C)." Revista Alcance (Online) 18(2): 200–218.
  11. ↑ Cabello, J. M., F. Ruiz, et al. (2014). "Synthetic indicators of mutual funds' environmental responsibility: An application of the Reference Point Method." European Journal of Operational Research. https://dx.doi.org/10.1016/j.ejor.2013.11.031.
  12. ↑ Ensslin, L., G. N. Montibeller, et al. (2000). Constructing and implementing a DSS to help evaluate perceived risk of accounts receivable. Research and Practice in Multiple Criteria Decision Making, Springer-Verlag, Berlin. 487: 245–259.
  13. ↑ Ferreira, F. A. F. (2006). Bank Branches' Performance Evaluation. IADIS International Conference e-Society, Dublin, Ireland: 392–394.
  14. ↑ Ferreira, F., S. P. Santos, et al. (2014). "Assessing Credit Risk Of Mortgage Lending Using MACBETH: A Methodological Framework." Management Decision 52(2): 1–36.
  15. ↑ Ferreira, F. A. F., S. P. Santos, et al. (2011). "Adding value to bank branch performance evaluation using cognitive maps and MCDA: A case study." Journal of the Operational Research Society 62(7): 1320–1333.
  16. ↑ Ferreira, F. A. F., R. W. Spahr, et al. (2012). "A Multiple Criteria Framework to Evaluate Bank Branch Potential Attractiveness." International Journal of Strategic Property Management 16(3): 254–276.
  17. ↑ Hurson, C., K. Mastorakis, et al. (2012). "Application of a synergy of MACBETH and MAUT multicriteria methods to portfolio selection in Athens stock exchange." International Journal of Multicriteria Decision Making 2(2): 113–127.
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