An overview of methods for applied decision analysis

Decision analysis is not just trees anymore. Influence diagrams improve communication among managers and analysts about key dependencies in a decision under uncertainty. Algebraic formulation methods allow compact representation of decision models that are too complex to handle with decision trees. Utility functions model attitude toward risk taking and trade-offs among conflicting objectives in a way that is both practical and conceptually sound. Behavioral research has shown how to correctly elicit judgemental information about uncertainties, and accurate approximations are available to summarize these judgments. Recently developed computer tools use these approaches to model real-world decisions efficiently.