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Identification of sensitivities in Bayesian networks
KTH, Tidigare Institutioner, Energiteknik.
2004 (engelsk)Inngår i: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 17, nr 4, s. 327-335Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper presents a methodology for sensitivity analysis that can be applied to Bayesian belief networks, i.e. analysis of the influence of the quality of network parameters (such as conditional and a priori probabilities) on the values of the hypothesis variable(s). The presented methodology makes use of one-way sensitivity analysis and makes it possible to apply a particular mathematical model for relations between the considered parameter and distribution of values in the node of interest (hypothesis node). The sensitivity analysis has been applied to a network describing a Nuclear Power Plant during fault conditions.

sted, utgiver, år, opplag, sider
2004. Vol. 17, nr 4, s. 327-335
Emneord [en]
Bayesian network, belief network, sensitivity analysis, sensitivity set
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-44844DOI: 10.1016/j.engappai.2004.03.011ISI: 000222724700003Scopus ID: 2-s2.0-2942744497OAI: oai:DiVA.org:kth-44844DiVA, id: diva2:451711
Merknad
QC 20111026Tilgjengelig fra: 2011-10-26 Laget: 2011-10-25 Sist oppdatert: 2017-12-08bibliografisk kontrollert

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