Respuesta :
Sensitivity analysis is always a crucial element of decision making and decision trees often focus on probabilities.
Decision tree analysis involves visually outlining the possible outcomes, costs, and consequences of a complex decision. You can use a decision tree to calculate the expected value of each outcome based on the decisions and consequences that led up to it. Then, by comparing the results against each other, you can quickly assess the best course of action. You can also use a decision tree to solve problems, manage costs, and uncover opportunities. These trees are particularly useful for analyzing quantitative data and making decisions based on numbers. A framework was developed to perform sensitivity analyzes of optimal strategies that account for this distributional uncertainty. Sensitivity analysis determines how different values of the independent variable affect a particular dependent variable under a particular set of assumptions. In other words, sensitivity analyzes study how various sources of uncertainty in a mathematical model contribute to the overall uncertainty of the model. This technique is used within certain limits. depends on one or more input variables. Systematically vary outcome values or event probabilities to identify changes in expected monetary values or any decisions made.
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