  Combining evidence from different sources can be achieved with Bayesian or
Dempster-Shafer methods. The first requires an estimate of the priors and
likelihoods while the second only needs an estimate of the posterior
probabilities and enables reasoning with uncertain information due to
imprecision of the sources and with the degree of conflict between them. This
paper describes the two methods and how they can be applied to the estimation
of a global score in the context of fraud detection.
