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.

翻译：将不同来源的证据与Bayesian或Dempster-Shafer方法相结合可以实现,第一种方法要求对前期和可能性作出估计,而第二种方法只需要对后期概率作出估计,并能够根据来源不准确和彼此冲突的程度,对不确定信息进行推理,本文描述了这两种方法以及如何在发现欺诈时将其应用于估计全球得分。