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  2. Uncertainty management theory - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_management_theory

    Uncertainty management theory (UMT), developed by Dale Brashers, addresses the concept of uncertainty management. Several theories have been developed in an attempt to define uncertainty, identify its effects and establish strategies for managing it. [1] Uncertainty management theory was the first theory to decline the idea that uncertainty is ...

  3. Uncertainty quantification - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_quantification

    There are two major types of problems in uncertainty quantification: one is the forward propagation of uncertainty (where the various sources of uncertainty are propagated through the model to predict the overall uncertainty in the system response) and the other is the inverse assessment of model uncertainty and parameter uncertainty (where the ...

  4. Institute of Real Estate Management - Wikipedia

    en.wikipedia.org/wiki/Institute_of_Real_Estate...

    Its Pandemic Guide has been a resource for real estate managers globally. [6] It was founded in Chicago in 1933. [7] As of April 2020, the Institute of Real Estate Management membership included almost 20,000 individual members and 1,108 corporate members consisting of both AMO headquarter and AMO branch firms.

  5. Info-gap decision theory - Wikipedia

    en.wikipedia.org/wiki/Info-gap_decision_theory

    Wald's Maximin model is the main instrument used by these methods. The principal difference between the Maximin model employed by info-gap and the various Maximin models employed by robust optimization methods is in the manner in which the total region of uncertainty is incorporated in the robustness model. Info-gap takes a local approach that ...

  6. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    Identify the model output to be analysed (the target of interest should ideally have a direct relation to the problem tackled by the model). Run the model a number of times using some design of experiments, [15] dictated by the method of choice and the input uncertainty. Using the resulting model outputs, calculate the sensitivity measures of ...

  7. Strategy and uncertainty - Wikipedia

    en.wikipedia.org/wiki/Strategy_and_uncertainty

    There may be uncertainty regarding the best technological process, or when a superior technology may be invented. Furthermore, external uncertainty can be influenced by powerful firms which can establish standards for product specifications while small firms have to adjust to this. Finally, uncertainty can arise from within the firm as well.

  8. Uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_analysis

    In physical experiments uncertainty analysis, or experimental uncertainty assessment, deals with assessing the uncertainty in a measurement.An experiment designed to determine an effect, demonstrate a law, or estimate the numerical value of a physical variable will be affected by errors due to instrumentation, methodology, presence of confounding effects and so on.

  9. Expected utility hypothesis - Wikipedia

    en.wikipedia.org/wiki/Expected_utility_hypothesis

    The expected utility hypothesis is a foundational assumption in mathematical economics concerning decision making under uncertainty. It postulates that rational agents maximize utility, meaning the subjective desirability of their actions. Rational choice theory, a cornerstone of microeconomics, builds this postulate to model aggregate social ...