Bibliography
Conference Paper (Czech conference)
Two Composition Operators for Belief Functions Revisited
, ,
: Proceedings of the 12th Workshop on Uncertainty Processing, p. 123-134 , Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P.
: WUPES 2022: 12th Workshop on Uncertainty Processing, (Kutná Hora, CZ, 20220601)
: GA19-06569S, GA ČR
: probability theory, Bayesian networks, belief functions
: http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0558137.pdf
(eng): 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.
: BA
: 10102