RISK ANALYSIS OF COMPLEX SOCIO TECHNICAL SYSTEMS BY USING BAYESIAN NETWORK MODELLING

Abstract: The risk analysis of a system is a multidisciplinary process in constant advancement. Whereas few years ago analyses were focused at the technical layer, it is today required to consider the system in a global way, by including human beings and organisations. Nevertheless it leads to increase the complexity level of the studied system, because of the widening of its limits and the diversity of considered disciplines. To cope with these issues, this article proposes a method to structure all system knowledge in a decision-making model by using Bayesian networks