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(1)‒(3), the variance coefficient of technical requirements (VC), the technical importance weight (TIW), relative importance of technical importance weight (rTIW), and weighted coefficient of variances (wCOV) are calculated as listed in Table 2 to plan function modules.
In this case, will correspond to our importance weight.
An importance weight function is derived to achieve sensor fusion.
The basic idea of such method is to eliminate particles with small normalized importance weight while concentrating upon those particles having larger normalized importance weight.
The two scenarios are considered as of equal importance (weight = 5).
Each particle (a_{1}^{k}) is associated with the importance weight (omega ^{k}_{1} = 1/N).
The importance weight is unit-less measure of relative preference of the factors.
Significance coefficient or importance weight of attributes can be added to the ratio system.
end{aligned} (3)where an importance weight is assigned to each particle (i).
The importance weight can be calculated by using a recursive formula [24].
2 Compute importance weight of each particle according to (18) and (21), then normalize the weight.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com