The Applied Decision Analysis Sequence provides the student with tools capable of facilitating the decision-making process in the face of uncertainty, risk, and differing value systems. Decision analysis
applies to difficult problems involving sequential decisions, major uncertainties, complexvalues, and significant outcomes.
The Decision and Risk Analysis course covers decision structuring with influence diagrams and decision trees, modeling uncertainty with subjective probabilities,sensitivity analysis, and the value of information. It also includes modeling preferences using utility functions, analytic hierarchy process, Pareto optimality, and tradeoff curves.
The Advanced Decision Analysis course provides an introduction to the mathematical foundations of multi-attribute value and utility theory. Topics include structuring objectives, trade-offs under certainty, single dimensional utility theory, multi-attribute preferences under uncertainty, preferences over time, and aggregation of individual preferences and portfolio analysis.
The Multi-Criteria Decision Analysis course exposes students to a variety of approaches to the modeling and solution of multiple criteria decision making problems. Topics covered include preference structures, dominance, utility and value functions, analytic and interactive MCDM techniques, plus compromise programming and multi-objective optimization formulations.
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Air Force Institute of Technology - Graduate School of Engineering & Management.
