Title
Measuring the Quality of Health-Care Services: A Likelihood-Based Fuzzy Modeling Approach
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.
Year
DOI
Venue
2007
10.1007/978-3-540-75256-1_74
ECSQARU
Keywords
Field
DocType
various service,coherent conditional probability,fuzzy set,effective evaluation,likelihood-based fuzzy modeling approach,suitable likelihood,health-care services,membership function,health-care provider,fuzzy modeling approach,relevant indicator,efficiency,conditional probability
Health care,Conditional probability,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Membership function,Machine learning
Conference
Volume
ISSN
Citations 
4724
0302-9743
4
PageRank 
References 
Authors
0.51
7
4
Name
Order
Citations
PageRank
Giulianella Coletti157271.49
Luca Paulon281.24
Romano Scozzafava336748.05
Barbara Vantaggi442246.32