Identification of sensitivities in Bayesian networks
2004 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, Vol. 17, no 4, 327-335 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
2004. Vol. 17, no 4, 327-335 p.
Bayesian network, belief network, sensitivity analysis, sensitivity set
IdentifiersURN: urn:nbn:se:kth:diva-44844DOI: 10.1016/j.engappai.2004.03.011ISI: 000222724700003ScopusID: 2-s2.0-2942744497OAI: oai:DiVA.org:kth-44844DiVA: diva2:451711
QC 201110262011-10-262011-10-252011-10-26Bibliographically approved