influence diagram

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influence diagram

[′in‚flü·əns ‚dī·ə‚gram]
(systems engineering)
A graph-theoretic representation of a decision, which may include four types of nodes (decision, chance, value, and deterministic), directed arcs between the nodes (which identify dependencies between them), a marginal or conditional probability distribution defined at each chance node, and a mathematical function associated with each of the other types of node.
References in periodicals archive ?
Chance node and deterministic node is set by CPT and the exception detection model can support the uncertain relationships among service input, service output and service operation.
Each chance node X in the set V takes values in a binary domain {x, [bar.
Chance nodes, usually drawn as circles, represent random variables that are relevant to the decision problem and cannot be controlled.
The influence arcs join chance nodes and express probabilistic dependencies as in Bayesian networks.
Quantitative component: the dependencies between chance nodes, representing random variables, are carried out using classical Bayesian probability distributions.