Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Belief Networks for Expert System Development in Auditing
International Journal of Intelligent Systems in Accounting and Finance Management
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The main purpose of this article is to discuss applicability of Bayesian belief networks (BBN) within the procedures of working-capital credit scoring conducted in commercial banks. A brief description or Bayesian formulation of causal dependence and its strength is given. Inferential and diagnostic features of BBN are illustrated using sample structure. As an example we present and compare results of estimating a credit risk using two techniques: traditional credit-scoring system and BBN structure.