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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 ...
Anxiety/uncertainty management (AUM) theory is known as the high levels of anxiety one may experience as they come in contact with those of another culture.This concept was first introduced by William B. Gudykunst to further define how humans effectively communicate based on their anxiety and uncertainty in social situations.
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 ...
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.
Brunswik's lens model is a conceptual framework for describing and studying how people make judgments. For example, a person judging the size of a distant object, physicians assessing the severity of disease, investors judging the quality of stocks, weather forecasters predicting tomorrow's weather and personnel officers rating job candidates all face similar tasks.
Strategic planning and uncertainty intertwine in a realistic framework where companies and organizations are bounded to develop and compete in a world dominated by complexity, ambiguity, and uncertainty in which unpredictable, unstoppable and, sometimes, meaningless circumstances may have a direct impact on the expected outcomes. [1]
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 ...
[24] [25] Abramowitz conducts cross-sectional, experimental, and prospective (longitudinal) research that has helped to clarify and advance this conceptual model. His work focuses on cognitive biases such as anxiety sensitivity, [ 26 ] thought-action fusion , [ 27 ] intolerance of uncertainty, [ 28 ] and attentional biases [ 29 ] that factor in ...