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The risk of decision making errors is proposed to assess the impact of uncertainties on MCDM.
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The machine learning (ML) method [ 20] implemented for predictive modeling in this pediatric traumatic brain injury study was originally designed for the prediction of acute cardiac complications, with an ensemble learning-based risk assessment as the core of decision making.
The integration of scale-dependent data into a cohesive reservoir description can reduce the risk of decision-making.
Our results support recent models of decision making under risk trying to incorporate anticipatory emotions but also uncover some important shortcomings related to the dynamics of emotions.
In order to validate the model, it is compared with other widely used models that implement different theories of decision making under risk and uncertainty.
Understanding the underlying mechanism of decision making under risk remains a fundamental and difficult problem.
A distinction is made here between the management of: (1) first order 'societal risks' faced by citizens; and (2) second-order risks to the legitimacy of societal risk managers and their "rules and methods of decision making" as a result of internal and external control, scrutiny and accountability which we call 'managerial risks' (Power 2007).
There was an inverted U-shaped relationship between age and the influence of risk on decision-making.
Over the last ten years there has been a remarkable growth of the use of risk informed decision making process and the application of Quantitative Risk Assessment (QRA) for this process.
The nature and extent of potential events as well as the probabilistic nature of risk decision making do not take into account specific needs and requirements of the rescue and emergency management sector.
Functional magnetic resonance imaging (fMRI) research rarely reports gender differences in the neural correlates of risk decision making due to small sample sizes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com