2013
EMSS 2013 Proceeding
A Bayesian network analysis for safety management
Authors: Ciro D?Elia, Fabio De Felice, Paola Mariano, Antonella Petrillo, Simona Ruscino
Abstract
This paper presents a methodology for safety analysis at workplace. The methodology incorporates Bayesian approach to assess the safety associated with safety requirements specifications. In this paper we propose a particular bayesian network, called Knowledge Driven Bayesian Network (KDBN), able to solve the problem of data availability thanks to the particular structure of the network itself. A case study based on marble industry is used to demonstrate the methodology.
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