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 ?
To represent, in an efficient, compact, and intuitive manner, the uncertainties and other components (dependent variable and sub-decisions) of a given problem and the relationship between them, McNamee and Celona (2008) suggest the use of influence diagrams.
Decision Tree and Influence Diagram The most common Visual (graphical) Modeling Tools for decision modeling are decision trees and influence diagrams, each of which may be supported by different software packages.
A suite of chapters discusses symbolic artificial intelligence as an analytic method and its underlying methodology, covering probabilistic graphical models and evidence propagation, influence diagrams, time series modeling, and approximate algorithms such as Monte Carlo simulation, followed by cluster analysis and its relevance to machine learning.
Mapping interactions of trends and weak signals in influence diagrams creates the basis for the inductive scenarios.
Other researchers have suggested the use of influence diagrams (e.
In the following section, we will analyze the aforementioned strategic business issues associated with the retailer and computer assembly company global supply chains using closed-loop influence diagrams and system dynamics modeling.
Diagramming techniques: Diagramming techniques, such as system flow charts, cause-and-effect diagrams, and influence diagrams are used to uncover risks that aren't readily apparent in verbal descriptions.
The model building process consisted of two main steps: (a) building influence (cause and effect) diagrams to identify the CSFs related to adaptive management objectives and (b) converting these influence diagrams into system simulation models for analyzing the adaptive management operating environment (Figure 4).
Incorporating sources of cost risks and the typical PBS with the use of influence diagrams served an invaluable picture of systematic identification of cost-risks factors influencing each project cost elements.
This study employs the use of software applications, traditional assessment, and case studies to support systems analysis of learning theories through the development of causal influence diagrams (CID) and seeks to determine the extent to which causal influence diagramming affects performance on traditional assessment measures.
Qualitative reasoning has also been captured by Influence diagrams [Richardson and Pugh 1981] and Ishikawa or fishbone diagrams [Gitlow et al.
Two of the assessment tools -- decision trees and influence diagrams -- are invaluable for this process.