Article ID: | iaor1994704 |
Country: | United Kingdom |
Volume: | 21 |
Issue: | 2 |
Start Page Number: | 99 |
End Page Number: | 120 |
Publication Date: | Jul 1993 |
Journal: | Engineering Optimization |
Authors: | Michelena Nestor F., Agogino Alice M. |
Keywords: | graphs, gradient methods, programming: probabilistic |
In this paper the theory of monotonic influence diagrams is extended to deal with uncertainty. Monotonic influence diagrams (MID) are a synthesis of influence diagrams and monotonicity analysis. Formally, a monotonic influence diagram is a directed graph consisting of nodes and arcs. The nodes represent design variables and the arcs reveal their relationships. Nodes in a MID can represent either deterministic or uncertain quantities. An arc in a MID is associated with the qualitative relation between the corresponding variables. A deterministic qualitative relation between two variables is given by the sign of the partial derivative of the function defining one of the variables with respect to the other variable. A probabilistic qualitative relation is defined in terms of a constraint on the joint probability distribution of the variables. Both deterministic and probabilistic quantities and relationships will be addressed in this paper.