UTA Plus

This method may be used to solve problems of choice or of multi criteria classification on set A of actions. It constructs a utility function from a preorder defined by the user on a subset A’ of the reference actions. The procedure, based on a principle of ordinal regression, consist in solving a small linear program. The program provides piecewise linear functions of marginal utility that are as compatible as possible with the given preorder. The user can modify the marginal utility functions within limits given by a sensitivity analysis of the ordinal regression problem. There is a friendly user interface in which to make these changes. The utility function given by the user is then used to define a preorder on the set A of actions.

References in zbMATH (referenced in 112 articles )

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  1. Belahcene, Khaled; Labreuche, Christophe; Maudet, Nicolas; Mousseau, Vincent; Ouerdane, Wassila: Explaining robust additive utility models by sequences of preference swaps (2017)
  2. Benabbou, Nawal; Perny, Patrice; Viappiani, Paolo: Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems (2017)
  3. Ciomek, Krzysztof; Kadziński, Miłosz; Tervonen, Tommi: Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems (2017)
  4. 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)
  5. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  6. Nishizaki, Ichiro; Hayashida, Tomohiro; Ohmi, Masakazu: Multiattribute decision analysis using strict preference relations (2016)
  7. Pigozzi, Gabriella; Tsoukiàs, Alexis; Viappiani, Paolo: Preferences in artificial intelligence (2016)
  8. Angilella, Silvia; Corrente, Salvatore; Greco, Salvatore: Stochastic multiobjective acceptability analysis for the Choquet integral preference model and the scale construction problem (2015)
  9. Angilella, Silvia; Mazzù, Sebastiano: The financing of innovative SMEs: a multicriteria credit rating model (2015)
  10. Beccacece, Francesca; Borgonovo, Emanuele; Buzzard, Greg; Cillo, Alessandra; Zionts, Stanley: Elicitation of multiattribute value functions through high dimensional model representations: monotonicity and interactions (2015)
  11. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Huron, Caroline: The effect of bi-criteria conflict on matching-elicited preferences (2015)
  12. Argyris, Nikolaos; Morton, Alec; Figueira, José Rui: CUT: a multicriteria approach for concavifiable preferences (2014)
  13. Balla, Vassiliki; Gaganis, Chrysovalantis; Pasiouras, Fotios; Zopounidis, Constantin: Multicriteria decision aid models for the prediction of securities class actions: evidence from the banking sector (2014)
  14. Doumpos, Michael; Zopounidis, Constantin; Galariotis, Emilios: Inferring robust decision models in multicriteria classification problems: an experimental analysis (2014)
  15. Fernandez, Eduardo; Navarro, Jorge; Salomon, Eduardo: Automatic enhancement of the reference set for multi-criteria sorting in the frame of THESEUS method (2014) ioport
  16. Greco, Salvatore; Mousseau, Vincent; Słowiński, Roman: Robust ordinal regression for value functions handling interacting criteria (2014)
  17. Hurson, Christian; Siskos, Yannis: A synergy of multicriteria techniques to assess additive value models (2014)
  18. Kadziński, Miłosz; Corrente, Salvatore; Greco, Salvatore; Słowiński, Roman: Preferential reducts and constructs in robust multiple criteria ranking and sorting (2014)
  19. Vetschera, Rudolf; Sarabando, Paula; Dias, Luis: Levels of incomplete information in group decision models -- a comprehensive simulation study (2014)
  20. Vetschera, Rudolf; Weitzl, Wolfgang; Wolfsteiner, Elisabeth: Implausible alternatives in eliciting multi-attribute value functions (2014)

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