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.
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Coletti, G., Paulon, L., Scozzafava, R., Vantaggi, B. (2007). Measuring the Quality of Health-Care Services: A Likelihood-Based Fuzzy Modeling Approach. In: Mellouli, K. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2007. Lecture Notes in Computer Science(), vol 4724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75256-1_74
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DOI: https://doi.org/10.1007/978-3-540-75256-1_74
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