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 87 articles , 2 standard articles )

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  1. Gauvin, Charles; Delage, Erick; Gendreau, Michel: A successive linear programming algorithm with non-linear time series for the reservoir management problem (2018)
  2. Ishizaka, Alessio; Siraj, Sajid: Are multi-criteria decision-making tools useful? An experimental comparative study of three methods (2018)
  3. Labreuche, Christophe: An axiomatization of the Choquet integral in the context of multiple criteria decision making without any commensurability assumption (2018)
  4. Labreuche, Christophe; Grabisch, Michel: Using multiple reference levels in multi-criteria decision aid: the generalized-additive independence model and the Choquet integral approaches (2018)
  5. 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)
  6. Oliveira, Mónica D.; Lopes, Diana F.; Bana e Costa, Carlos A.: Improving occupational health and safety risk evaluation through decision analysis (2018)
  7. Sobrie, Olivier; Gillis, Nicolas; Mousseau, Vincent; Pirlot, Marc: UTA-poly and UTA-splines: additive value functions with polynomial marginals (2018)
  8. Trdin, Nejc; Bohanec, Marko: Extending the multi-criteria decision making method DEX with numeric attributes, value distributions and relational models (2018)
  9. Belahcene, Khaled; Labreuche, Christophe; Maudet, Nicolas; Mousseau, Vincent; Ouerdane, Wassila: Explaining robust additive utility models by sequences of preference swaps (2017)
  10. Gauvin, Charles; Delage, Erick; Gendreau, Michel: Decision rule approximations for the risk averse reservoir management problem (2017)
  11. Marttunen, Mika; Lienert, Judit; Belton, Valerie: Structuring problems for multi-criteria decision analysis in practice: a literature review of method combinations (2017)
  12. Pape, Tom: Value of agreement in decision analysis: concept, measures and application (2017)
  13. Rodrigues, Teresa C.; Montibeller, Gilberto; Oliveira, Mónica D.; Bana e Costa, Carlos A.: Modelling multicriteria value interactions with reasoning maps (2017)
  14. 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)
  15. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  16. Pape, Tom: Prioritising data items for business analytics: framework and application to human resources (2016) ioport
  17. Pigozzi, Gabriella; Tsoukiàs, Alexis; Viappiani, Paolo: Preferences in artificial intelligence (2016)
  18. Angilella, Silvia; Mazzù, Sebastiano: The financing of innovative SMEs: a multicriteria credit rating model (2015)
  19. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Huron, Caroline: The effect of bi-criteria conflict on matching-elicited preferences (2015)
  20. Labreuche, Christophe; Destercke, Sébastien; Mayag, Brice: Elicitation of a utility from uncertainty equivalent without standard gambles (2015)

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