A logical model for quantification of occupational risk
作者： Ioannis A. Papazoglou , Ben J.M. Ale
DOI: 10.1016/J.RESS.2006.04.017
关键词: Risk management 、 Logic model 、 Event tree 、 Mathematics 、 Data mining 、 Event tree analysis 、 Algorithm 、 Logical data model 、 Bayesian network 、 Influence diagram 、 User interface
摘要: Functional block diagrams (FBDs) and their equivalent event trees are introduced as logical models in the quantification of occupational risks. Although a FBD is similar to an influence diagram or a belief network it provides a framework for introduction in a compact form of the logic of the model through the partition of the paths of the equivalent event tree. This is achieved by consideration of an overall event which has as outcomes the outmost consequences defining the risk under analysis. This event is decomposed into simpler …
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