M-MACBETH

The M-MACBETH software provides tools to facilitate: Complete model structuring; Management of complex problems involving qualitative value scores and weights; Interactive sensitivity and robustness analyses. MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) is an interactive approach that requires only qualitative judgements about differences to help a decision maker or a decision-advising group quantify the relative attractiveness of options. It employs an initial, interactive, questioning procedure that compares two elements at a time, requesting only a qualitative preference judgement. As judgements are entered into the software, it automatically verifies their consistency. A numerical scale is generated that is entirely consistent with all the decision maker ’s judgements. Through a similar process weights are generated for criteria.


References in zbMATH (referenced in 80 articles , 2 standard articles )

Showing results 1 to 20 of 80.
Sorted by year (citations)

1 2 3 4 next

  1. Ishizaka, Alessio; Siraj, Sajid: Are multi-criteria decision-making tools useful? An experimental comparative study of three methods (2018)
  2. Longaray, André; Ensslin, Leonardo; Ensslin, Sandra; Alves, Glaucia; Dutra, Ademar; Munhoz, Paulo: Using MCDA to evaluate the performance of the logistics process in public hospitals: the case of a Brazilian teaching hospital (2018)
  3. Oliveira, Mónica D.; Lopes, Diana F.; Bana e Costa, Carlos A.: Improving occupational health and safety risk evaluation through decision analysis (2018)
  4. Sobrie, Olivier; Gillis, Nicolas; Mousseau, Vincent; Pirlot, Marc: UTA-poly and UTA-splines: additive value functions with polynomial marginals (2018)
  5. Belahcene, Khaled; Labreuche, Christophe; Maudet, Nicolas; Mousseau, Vincent; Ouerdane, Wassila: Explaining robust additive utility models by sequences of preference swaps (2017)
  6. Marttunen, Mika; Lienert, Judit; Belton, Valerie: Structuring problems for multi-criteria decision analysis in practice: a literature review of method combinations (2017)
  7. de Almeida, Adiel Teixeira; de Almeida, Jonatas Araujo; Costa, Ana Paula Cabral Seixas; de Almeida-Filho, Adiel Teixeira: A new method for elicitation of criteria weights in additive models: flexible and interactive tradeoff (2016)
  8. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  9. Pape, Tom: Prioritising data items for business analytics: framework and application to human resources (2016) ioport
  10. Pigozzi, Gabriella; Tsoukiàs, Alexis; Viappiani, Paolo: Preferences in artificial intelligence (2016)
  11. Angilella, Silvia; Mazzù, Sebastiano: The financing of innovative SMEs: a multicriteria credit rating model (2015)
  12. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Huron, Caroline: The effect of bi-criteria conflict on matching-elicited preferences (2015)
  13. Labreuche, Christophe; Destercke, Sébastien; Mayag, Brice: Elicitation of a utility from uncertainty equivalent without standard gambles (2015)
  14. Siskos, Eleftherios; Tsotsolas, Nikos: Elicitation of criteria importance weights through the Simos method: a robustness concern (2015)
  15. Cabello, J.M.; Ruiz, F.; Pérez-Gladish, B.; Méndez-Rodríguez, P.: Synthetic indicators of mutual funds’ environmental responsibility: an application of the reference point method (2014)
  16. Corrente, Salvatore; Figueira, José Rui; Greco, Salvatore: Dealing with interaction between bipolar multiple criteria preferences in PROMETHEE methods (2014)
  17. Hurson, Christian; Siskos, Yannis: A synergy of multicriteria techniques to assess additive value models (2014)
  18. Kaci, Souhila; Labreuche, Christophe: Valued preference-based instantiation of argumentation frameworks with varied strength defeats (2014)
  19. Passos, Aderson Campos; Teixeira, Marcello Goulart; Garcia, Katia Cristina; Cardoso, Anelise Menezes; Gomes, Luiz Flavio Autran Monteiro: Using the TODIM-FSE method as a decision-making support methodology for oil spill response (2014)
  20. Costa, Carlos A.Bana E.; Carnero, María Carmen; Oliveira, Mónica Duarte: A multi-criteria model for auditing a predictive maintenance programme (2012)

1 2 3 4 next


Further publications can be found at: http://www.m-macbeth.com/en/references.html