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 72 articles , 2 standard articles )

Showing results 1 to 20 of 72.
Sorted by year (citations)

1 2 3 4 next

  1. Belahcene, Khaled; Labreuche, Christophe; Maudet, Nicolas; Mousseau, Vincent; Ouerdane, Wassila: Explaining robust additive utility models by sequences of preference swaps (2017)
  2. 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)
  3. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  4. Pape, Tom: Prioritising data items for business analytics: framework and application to human resources (2016) ioport
  5. Pigozzi, Gabriella; Tsoukiàs, Alexis; Viappiani, Paolo: Preferences in artificial intelligence (2016)
  6. Angilella, Silvia; Mazzù, Sebastiano: The financing of innovative SMEs: a multicriteria credit rating model (2015)
  7. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Huron, Caroline: The effect of bi-criteria conflict on matching-elicited preferences (2015)
  8. Siskos, Eleftherios; Tsotsolas, Nikos: Elicitation of criteria importance weights through the Simos method: a robustness concern (2015)
  9. 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)
  10. Corrente, Salvatore; Figueira, José Rui; Greco, Salvatore: Dealing with interaction between bipolar multiple criteria preferences in PROMETHEE methods (2014)
  11. Hurson, Christian; Siskos, Yannis: A synergy of multicriteria techniques to assess additive value models (2014)
  12. Kaci, Souhila; Labreuche, Christophe: Valued preference-based instantiation of argumentation frameworks with varied strength defeats (2014)
  13. 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)
  14. Costa, Carlos A.Bana E.; Carnero, María Carmen; Oliveira, Mónica Duarte: A multi-criteria model for auditing a predictive maintenance programme (2012)
  15. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Pallier, Christophe; Huron, Caroline: When conflict induces the expression of incomplete preferences (2012) ioport
  16. Doumpos, Michael: Learning non-monotonic additive value functions for multicriteria decision making (2012)
  17. Falagario, Marco; Sciancalepore, Fabio; Costantino, Nicola; Pietroforte, Roberto: Using a DEA-cross efficiency approach in public procurement tenders (2012)
  18. Sanchez-Lopez, Ramiro; Costa, Carlos A.Bana E.: The MACBETH approach for multi-criteria evaluation of development projects on cross-cutting issues (2012)
  19. Timonin, Mikhail: Maximization of the Choquet integral over a convex set and its application to resource allocation problems (2012)
  20. Bernroider, Edward; Obwegeser, Nikolaus; Stix, Volker: Analysis of heuristic validity, efficiency and applicability of the profile distance method for implementation in decision support systems (2011)

1 2 3 4 next

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