pyBNBowTie: Python library for Bow-Tie Analysis based on Bayesian Networks

Publikation: Beitrag in FachzeitschriftKonferenzartikelBegutachtung

Abstract

In addition to more conventional but often less precise methods, the risk assessment as part of the risk management process can be performed with the bow-tie analysis method. A bow-tie analysis describes the effects of causes on a top event and the resulting consequences. Bayesian networks, on the other hand, offer a mathematically concise way of describing dependencies between events under uncertainty. The mapping of bow-tie analysis into Bayesian networks is intended to make their superior calculation options available. While the mapping algorithm of a bow-tie method into a Bayesian network is described in the literature, no computer program carrying out this mapping has been found so far. In this text, a Python library, that is validated using published examples, is presented and made publicly available for mapping bow-tie methods into Bayesian networks.

OriginalspracheEnglisch
Seiten (von - bis)344-351
Seitenumfang8
FachzeitschriftProcedia Computer Science
Jahrgang180
Ausgabenummer180
DOIs
PublikationsstatusVeröffentlicht - 2021
VeranstaltungInternational Conference on Industry 4.0 and Smart Manufacturing - online, Österreich
Dauer: 23 Nov 202025 Nov 2020
Konferenznummer: 2

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