Decision Analysis
Efficiency of influence diagram models with continuous decision variables
Decision Support Systems
Decision Analysis
From the Editors---Games and Decisions in Reliability and Risk
Decision Analysis
Inventory management with log-normal demand per unit time
Computers and Operations Research
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The continuous decision MTE influence diagram (CDMTEID) uses mixtures of truncated exponentials (MTE) potentials to approximate probability density functions (pdfs) and utility functions, and develops a piecewise-linear decision rule for continuous decision variables. The operations for solving CDMTEIDs are defined, and the abilities of this model to identify nonmonotonic decision rules and accommodate discrete variables with continuous parents are demonstrated. The CDMTEID solution to a problem with a continuous decision variable and a non-Gaussian continuous chance variable is presented and compared to a benchmark solution and existing models. The CDMTEID improves the quality of the decision rule and the value of information, as compared to other methods for the example problem.