Abstract
When building a Bayesian belief network, generally a huge number of probabilities have to be assessed. We argue that the elicitation of these probabilities can be supported by iteratively performing sensitivity analyses on the network, starting with rough, initial assessments. Giving insight into which probabilities require high accuracy and which do not, performing a sensitivity analysis allows for focusing elicitation efforts on the more critical probabilities of the belief network.
The investigations were (partly) supported by the Netherlands Computer Science Research Foundation with financial support from the Netherlands Organization for Scientific Research (NWO).
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V.M.H. Coupé, L.C. van der Gaag, J.D.F. Habbema. Sensitivity analysis: an aid for belief-network quantification, submitted for publication.
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© 1997 Springer-Verlag Berlin Heidelberg
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Coupé, V.M., van der Gaag, L.C. (1997). Supporting probability elicitation by sensitivity analysis. In: Plaza, E., Benjamins, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1997. Lecture Notes in Computer Science, vol 1319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026797
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DOI: https://doi.org/10.1007/BFb0026797
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