Sentence examples for model uncertainties associated from inspiring English sources

The type-2 fuzzy logic system models are compared in their ability to model uncertainties associated with these problems.

These results highlight significant model uncertainties associated with extrapolating long-term PRB performance based on lab-scale column experiments.

In addition, the model uncertainties associated with a surrogate model that is derived from numerical computation methods, such as finite element analysis, is addressed.

The feedback fuzzy controller ensures the stability of the overall system in the face of model uncertainty associated with hydraulically actuated robotic mechanisms.

Then the T&D model uncertainty associated with input wind errors were determined by comparing plumes calculated using wind directions varied at 2° increments to the truth plume.

Such results are useful for benchmarking epistemic (model) uncertainty associated with tsunami predictions.Next, we examine the sensitivity of wave profile predictions at the four GPS buoys while considering strike, dip, and slip variations together with different original slip distributions.

The ensemble allowed us to estimate the model uncertainty associated with the many poorly characterized parameters.

We used normal distributions for cost and quality of life estimates with the corresponding standard error to model uncertainty associated with the mean input parameters, and we used a log-normal distribution for modeling the uncertainty associated with the relative risk of a treatment failure without GRT [44].

However, there is significant model uncertainty associated with the efficacy of revascularization.

Beta-PERT distributions were used to model uncertainty associated with all inputs.

However, although the basecase estimate generally supports a strategy of increasing cardiac catheterization rates within eligible patients, conclusions about the cost-effectiveness of increasing the catheterization rate are inconclusive due to significant model uncertainty associated with the efficacy of revascularization.