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 101 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. Angilella, Silvia; Corrente, Salvatore; Greco, Salvatore: Stochastic multiobjective acceptability analysis for the Choquet integral preference model and the scale construction problem (2015)
  3. Deparis, Stéphane; Mousseau, Vincent; Öztürk, Meltem; Huron, Caroline: The effect of bi-criteria conflict on matching-elicited preferences (2015)
  4. 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)
  5. Doumpos, Michael; Zopounidis, Constantin; Galariotis, Emilios: Inferring robust decision models in multicriteria classification problems: an experimental analysis (2014)
  6. Fernandez, Eduardo; Navarro, Jorge; Salomon, Eduardo: Automatic enhancement of the reference set for multi-criteria sorting in the frame of THESEUS method (2014)
  7. Greco, Salvatore; Mousseau, Vincent; Słowiński, Roman: Robust ordinal regression for value functions handling interacting criteria (2014)
  8. Hurson, Christian; Siskos, Yannis: A synergy of multicriteria techniques to assess additive value models (2014)
  9. Kadziński, Miłosz; Corrente, Salvatore; Greco, Salvatore; Słowiński, Roman: Preferential reducts and constructs in robust multiple criteria ranking and sorting (2014)
  10. Vetschera, Rudolf; Weitzl, Wolfgang; Wolfsteiner, Elisabeth: Implausible alternatives in eliciting multi-attribute value functions (2014)
  11. Corrente, Salvatore; Greco, Salvatore; Kadziński, Miłosz; Słowiński, Roman: Robust ordinal regression in preference learning and ranking (2013)
  12. Graf, Christoph; Vetschera, Rudolf; Zhang, Yingchao: Parameters of social preference functions: measurement and external validity (2013)
  13. Greco, Salvatore; Matarazzo, Benedetto; Słowiński, Roman: Comments on: Multicriteria decision systems for financial problems (2013)
  14. Zopounidis, Constantin; Doumpos, Michael: Multicriteria decision systems for financial problems (2013)
  15. Babalos, Vassilios; Philippas, Nikolaos; Doumpos, Michael; Zopounidis, Constantin: Mutual funds performance appraisal using stochastic multicriteria acceptability analysis (2012)
  16. Bouchery, Yann; Ghaffari, Asma; Jemai, Zied; Dallery, Yves: Including sustainability criteria into inventory models (2012)
  17. Brito, Anderson J.; De Almeida, Adiel T.: Modeling a multi-attribute utility newsvendor with partial backlogging (2012)
  18. Doumpos, Michael: Learning non-monotonic additive value functions for multicriteria decision making (2012)
  19. Kadziński, Miłosz; Greco, Salvatore; Słowiński, Roman: Selection of a representative value function in robust multiple criteria ranking and choice (2012)
  20. Doumpos, Michael; Zopounidis, Constantin: Preference disaggregation and statistical learning for multicriteria decision support: A review (2011)

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