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Belief networks in analyzing accidents (CROSBI ID 478379)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Čišić, Dragan ; Vranić, Duško ; Komadina Pavao Belief networks in analyzing accidents // IMLA2000 11 Th Conference On Maritime Education And Training / Zade, Gunther (ur.). Malmö: World Maritime University, 2000. str. 1-11-x

Podaci o odgovornosti

Čišić, Dragan ; Vranić, Duško ; Komadina Pavao

engleski

Belief networks in analyzing accidents

A belief network (also known as a Bayesian network or probabilistic causal network) captures believed relations (which may be uncertain, stochastic, or imprecise) between a set of variables which are relevant to some problem. Usage of the belief networks in analyzing accidents is discussed in the paper. Belief network represents expert system knowledge base, and the probabilistic inference results in a set of beliefs in each network node. Belief network programs are used with the accident database system in order to find connections and probabilities between the dana stored. The example regarding accidents in Republic of Croatia is shown.

Maritime accidents

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Podaci o prilogu

1-11-x.

2000.

objavljeno

Podaci o matičnoj publikaciji

IMLA2000 11 Th Conference On Maritime Education And Training

Zade, Gunther

Malmö: World Maritime University

Podaci o skupu

IMLA2000 11 Th Conference On Maritime Education And Training

predavanje

21.08.2000-25.08.2000

Malmo Sweden

Povezanost rada

Tehnologija prometa i transport