A comparative analysis is performed between the existing methods, the nine generalized methods and the novel method, by applying extensive numerical simulations in a Brazilian regional utility, by using PSCAD/EMTDC and MATLAB.
APACHE, Acute Physiology, Age and Chronic Health Evaluation; MAP, mean arterial pressure; S, sepsis; E, etomidate; E*S, interaction between the two in generalized estimating equations; na, not applicable.
ACTH, adrenocorticotropic hormone; C, low cortisol increase; CBG, cortisol-binding globulin; DHEA(S), dihydroxyepiandrostenedione (sulfate); E, etomidate; E*C, interaction between the two in generalized estimating equations; HDL, high-density lipoprotein; na, not applicable.
Two main methods exist to this end, the most common of which is based on the definition of correction coefficients exploiting the close relation between the first three generalized forces and the base moments.
In this section, we take the G2 smooth continuity in the u direction between two generalized Bézier-like surfaces as an example (the other two directions can be discussed similarly) to show the basic steps of G2 smooth continuity between generalized Bézier-like surfaces.
For simplicity, we take the smooth continuity between two generalized Bézier-like surfaces as an example to show the shape adjustment of piecewise surfaces.
Step 5. Given the remaining (n_{2} - 2) control points (boldsymbol{P}_{i,j}^{2}) ((i = 0,1, ldots,m_{2}); (j = 3,4, ldots,n_{2})) of (boldsymbol{S}_{2} u,v;lambda_{2},gamma_{i,2})) freely, the G2 smooth continuity between two generalized Bézier-like surfaces in the u direction is achieved.
5, according to definition of Choquet integral, we define the Choquet integral-based distance between any two generalized interval-valued trapezoidal fuzzy sets.
In order to demonstrate the conclusions above, Figure 5 gives an example to show the G2 smooth continuity between two generalized Bézier-like surfaces of degree ((4, 4)) in the v direction.
We then compared the transect sign counts between the two time periods using generalized linear models (GLM; McCullagh & Nelder, 1989; Hicks et al, 2014).
