Original title: Two Composition Operators for Belief Functions Revisited
Authors: Jiroušek, Radim ; Kratochvíl, Václav ; Shenoy, P. P.
Document type: Papers
Conference/Event: WUPES 2022: 12th Workshop on Uncertainty Processing, Kutná Hora (CZ), 20220601
Year: 2022
Language: eng
Abstract: In probability theory, compositional models are as powerful as Bayesian networks. However, the relation between belief-function graphical models and the corresponding compositional models is much more complicated due to several reasons. One of them is that there are two composition operators for belief functions. This paper deals with their main properties and presents sufficient conditions under which they yield the same results.
Keywords: Bayesian networks; belief functions; probability theory
Project no.: GA19-06569S (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 12th Workshop on Uncertainty Processing, ISBN 978-80-7378-460-7

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0558137.pdf
Original record: http://hdl.handle.net/11104/0332322

Permalink: http://www.nusl.cz/ntk/nusl-508630


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers