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This textbook teaches the reader about decision making under uncertainty and how to conduct tradeoff studies and perform formal risk analyses. Acknowledging the fact that the mathematical treatment of these three topics is similar, the authors generalize mathematical techniques to cover all three areas. These techniques include importance weights, combining functions, and sensitivity analyses. Human decision-making activities and problems are also the same in the three areas, so these problems as well are treated uniformly and are modeled in the book with prospect theory. Aimed at practitioners and students interested in systems engineering, risk analysis, operational management, and business process modeling, Decision Making under Uncertainty, Tradeoff Studies and Risk Analysis explains how humans can overcome their cognitive biases and mental errors when conducting tradeoff studies and risk analyses in a wide range of domains.