Fuzzy semi-quantitative approach for probability evaluation using Bow-Tie analysis

Houssein Abdo (1, 2) , Jean-Marie Flaus (2) , François Masse (1)

1 INERIS - Institut National de l'Environnement Industriel et des Risques
2 G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production

The International Organization for Standardization (ISO) imposes the evaluation of the probability of accidents during risk analysis with the consideration of uncertainty. However, quantitative probability analysis can be too expensive and lead to unreliable estimation. This is due to imprecision and lack of data where unjustifiable assumptions should be added, while quantitative information is lost by using a qualitative probability analysis. This paper proposes a fuzzy semi-quantitative approach to address data uncertainties as an alternative for losing and adding information. A fuzzy-based approach is used for handling vagueness and imprecision in the input parameter frequencies. The application of this approach is demonstrated using the casestudy of a Loss of Containment Scenario (LOC) in a chemical facility.

Domains: Environmental Sciences; Environmental Engineering; Engineering Sciences [physics]; Other

Houssein Abdo, Jean-Marie Flaus, François Masse. Fuzzy semi-quantitative approach for probability evaluation using Bow-Tie analysis. 27th European Safety and Reliability annual conference (ESREL 2017), Jun 2017, Portoroz, Slovenia. pp.2597-2605. ⟨ineris-01853453⟩