We face the problem of constructing a model which is suited for an effective evaluation of the quality of a health-care provider: to this purpose, we focus on some relevant indicators characterizing the various services run by the provider. We rely on a fuzzy modeling approach by using the interpretation (in terms of coherent conditional probability) of a membership function of a fuzzy set as a suitable likelihood.
Measuring the quality of health-care services: A likelihood-based fuzzy Modeling approach / Giulianella, Coletti; Paulon, Luca; Scozzafava, Romano; Vantaggi, Barbara. - STAMPA. - 4724(2007), pp. 853-864. ((Intervento presentato al convegno 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty tenutosi a Hammamet, TUNISIA nel OCT 31-NOV 02, 2007. - LECTURE NOTES IN COMPUTER SCIENCE. [10.1007/978-3-540-75256-1_74].
Measuring the quality of health-care services: A likelihood-based fuzzy Modeling approach
PAULON, LUCA;SCOZZAFAVA, Romano;VANTAGGI, Barbara
2007
Abstract
We face the problem of constructing a model which is suited for an effective evaluation of the quality of a health-care provider: to this purpose, we focus on some relevant indicators characterizing the various services run by the provider. We rely on a fuzzy modeling approach by using the interpretation (in terms of coherent conditional probability) of a membership function of a fuzzy set as a suitable likelihood.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
