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 64 articles , 2 standard articles )

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  1. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  2. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Huron, Caroline: The effect of bi-criteria conflict on matching-elicited preferences (2015)
  3. 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)
  4. Corrente, Salvatore; Figueira, José Rui; Greco, Salvatore: Dealing with interaction between bipolar multiple criteria preferences in PROMETHEE methods (2014)
  5. Hurson, Christian; Siskos, Yannis: A synergy of multicriteria techniques to assess additive value models (2014)
  6. Kaci, Souhila; Labreuche, Christophe: Valued preference-based instantiation of argumentation frameworks with varied strength defeats (2014)
  7. Costa, Carlos A.Bana E.; Carnero, María Carmen; Oliveira, Mónica Duarte: A multi-criteria model for auditing a predictive maintenance programme (2012)
  8. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Pallier, Christophe; Huron, Caroline: When conflict induces the expression of incomplete preferences (2012)
  9. Doumpos, Michael: Learning non-monotonic additive value functions for multicriteria decision making (2012)
  10. Falagario, Marco; Sciancalepore, Fabio; Costantino, Nicola; Pietroforte, Roberto: Using a DEA-cross efficiency approach in public procurement tenders (2012)
  11. Sanchez-Lopez, Ramiro; Costa, Carlos A.Bana E.: The MACBETH approach for multi-criteria evaluation of development projects on cross-cutting issues (2012)
  12. Timonin, Mikhail: Maximization of the Choquet integral over a convex set and its application to resource allocation problems (2012)
  13. 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)
  14. Labreuche, Christophe: A general framework for explaining the results of a multi-attribute preference model (2011)
  15. Mayag, Brice; Grabisch, Michel; Labreuche, Christophe: A representation of preferences by the Choquet integral with respect to a 2-additive capacity (2011)
  16. Mayag, Brice; Grabisch, Michel; Labreuche, Christophe: A reduction of the complexity of inconsistencies test in the MACBETH 2-additive methodology (2011)
  17. Mayag, Brice; Grabisch, Michel; Labreuche, Christophe: A characterization of the 2-additive Choquet integral through cardinal information (2011)
  18. Angilella, Silvia; Giarlotta, Alfio; Lamantia, Fabio: A linear implementation of PACMAN (2010)
  19. Angilella, Silvia; Greco, Salvatore; Matarazzo, Benedetto: Non-additive robust ordinal regression: a multiple criteria decision model based on the Choquet integral (2010)
  20. Bous, Géraldine; Fortemps, Philippe; Glineur, François; Pirlot, Marc: ACUTA: a novel method for eliciting additive value functions on the basis of holistic preference statements (2010)

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