A 2-Additive Choquet Integral Model for French Hospitals Rankings in Weight Loss Surgery
Mayag, Brice (2016), A 2-Additive Choquet Integral Model for French Hospitals Rankings in Weight Loss Surgery, in Carvalho, Joao Paulo; Lesot, Marie-Jeanne; Kaymak, Uzay; Vieira, Susana; Bouchon-Meunier, Bernadette; Yager, Ronald R., Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer International Publishing : Cham, p. 101-116. 10.1007/978-3-319-40596-4_10
TypeCommunication / Conférence
Conference title16th International Conference, IPMU 2016
Book titleInformation Processing and Management of Uncertainty in Knowledge-Based Systems
Book authorCarvalho, Joao Paulo; Lesot, Marie-Jeanne; Kaymak, Uzay; Vieira, Susana; Bouchon-Meunier, Bernadette; Yager, Ronald R.
Number of pages836
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Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Abstract (EN)In a context of Multiple Criteria Decision Aid, we present a decision model explaining some French hospitals rankings in weight loss surgery. To take into account interactions between medical indicators, we elaborated a model based on the 2-additive Choquet integral. The reference subset, defined during the elicitation process of this model, is composed by some specific alternatives called binary alternatives. To validate our approach, we showed that the proposed 2-additive Choquet integral model is able to approximate the hospitals ranking, in weight loss surgery, published by the French magazine “Le Point” in August 2013.
Subjects / KeywordsHospital rankings; Decision Theory; Health Care
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