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Identification of sensitivities in Bayesian networks
KTH, Superseded Departments, Energy Technology.
2004 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 17, no 4, 327-335 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
2004. Vol. 17, no 4, 327-335 p.
Keyword [en]
Bayesian network, belief network, sensitivity analysis, sensitivity set
National Category
Robotics
Identifiers
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: diva2:451711
Note
QC 20111026Available from: 2011-10-26 Created: 2011-10-25 Last updated: 2017-12-08Bibliographically approved

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