The stations with large signal seem to have the best fit, which may suggest that adjusting the weighting of input data could improve the model.
This includes the weighting of input data for automated data analysis and identification of attributes relevant for key indicators, as well as settings regarding the system's policy recommendation behavior.
By using this method, with this sample, we are able to identify a list of priorities where each respondent received equal weighting of input.
A key requirement for creating a weighting system was minimizing bias regarding the weighting of input from each expert's field of study relative to that of others and reducing the difficulty of eliciting relative weights from experts when multiple attributes are compared.
Data envelopment analysis models allow decision making units to select the weights of inputs and outputs that are the most advantageous for calculating efficiency scores.
One proposed way to alleviate this problem is to restrict the ranges of the weights of inputs and outputs, based for instance on stated preferences about the relative importance of different inputs and outputs (Thompson et al. 1990; Zhu 1996).
If attention is directed to one of two (or more) stimuli in the receptive field, it will adjust the weights of inputs from each stimulus by changing the strength of their respective normalization signals.
In addition, the size of attentional modulation with one stimulus in the receptive field will be smaller than the modulation with two stimuli in the receptive field because the strength of normalization that cell receives is proportional to the number of stimuli in the receptive field (and the weights of inputs are determined by the normalization, Eq. 3).
A line of studies support the notion of dynamic weighting of sensory inputs according to the input reliability (Ernst and Banks 2002; Shams 2012).
It changed its weighting of sensory inputs dynamically based on the sensory input saliency: when auditory input was noisy, the left IFS preferred visual input and vice versa (Adam and Noppeney 2010; Noppeney et al. 2010; Lee and Noppeney 2011).
