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The results highlight the importance of assessing the uncertainty of inputs in algorithms such as the one to calculate the surface solar fraction that is an important prerequisite of the final building energy balance.
Unlike applying a safety factor representing all uncertainty sources, probabilistic designs quantify the uncertainty of model outputs by including prior uncertainty of inputs and parameters, which generates more scientifically reliable outcomes for decision makers.
The behavioral results suggest a relationship between RT and amount/content of inputs that goes beyond a simple linear or loglinear function, suggesting an interaction between uncertainty of inputs and mental operations in overall performance.
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The influence of measurement uncertainty of input parameters on the accuracy of the method was investigated.
Until now, the uncertainty of input data was explicitly left out of hygrothermal modelling.
Uncertainty of input parameters is considered in the calculation, and sensitivity analysis is carried out.
To address the uncertainty of input parameters, we conducted three different types of sensitivity analysis (one-way, scenario, probabilistic).
The reliability of model prediction depends on (i) model concept, (ii) parameters, (iii) uncertainty of input data, and (iv) uncertainty of reference data.
However, what has recently received much attention of researchers is the variability and uncertainty of input variables in the stability analysis of self-excited vibrations.
By decreasing the uncertainty of input variables with high main effect indices, the most reduction of failure probability can be obtained.
However, the prioritization results in the conventional QFD may be misleading since it does not consider the uncertainty of input information.
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CEO of Professional Science Editing for Scientists @ prosciediting.com