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The L2 error with integration with respect to the design measure is used as error criterion.
In this work, interval methods are developed to enhance the boundary element method for considering causes of imprecision such as uncertain boundary conditions, truncation error, and integration error.
The L2 error with integration with respect to the design measure is used as an error criterion.
The L2 error with integration with respect to the design measure μ (i.e., the distribution of X) is used as an error criterion.
In order to control the accumulation error, smaller integration steps or special step size controllers are sometimes required, especially for a long time simulation or stiff systems.
We calculate the theoretically correct ROC curves and AUCs (ignoring the error of integration), using our mathematical derivations.
The first column on the left and top row in Tables 2 and 3 represent the linguistic labels for the error and integration error, respectively, of each input parameter (muscle relaxation and BP).
The crisp outputs are sent to the patient anesthetic model whose responses are then fed back to the type-2 SOFLC and compared with the set points to calculate the error and integration error of the input control signals.
We compute the errors in closeness centrality obtained from the networks with and without integration ( Error( G integrated ) and Error( G p )) using the error function defined in 5.2.
Under some regularity conditions, we obtain sharp bounds for the minimal errors for approximation and upper bounds for the minimal errors for integration.
To overcome such errors, the integration of heterogeneous datasets requires appropriate homogenisation techniques.
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