The weighted sum
approach that we have undertaken is based upon the Analytical Hierarchical Process (AHP) algorithm.
This is the weighted sum
of the number of banks that report an increase minus the weighted sum
of the number of banks that report a decline.
Let's assume the value of SSI at 54x P/E to be equal to the weighted sum
of the P/E of cash and P/E of operating assets.
For that reason the integration of GIS and Simple Weighted Sum
approach greatly facilitates decision-making.
The aggregate Laspeyres index can be expressed as a weighted sum
of any set of exhaustive and mutually exclusive Laspeyres subindexes where the weights sum to one.
Two etiquette behaviors, reliable and regular communication (both with weighted sums
of 73), rose above the others (with the next weighted sum
Two classical methods for handling multiobjective optimization problems are the weighted sum
method and the e-constraint method.
Gaussian Mixture Model (GMM) is nothing else but actually a parametric estimation of a probability density function which is represented by a weighted sum
of a number of individual Gaussian distributions.
The weighted sum
method is widely employed to generate the trade-off solutions for nonlinear multiobjective optimization problems.
4] proposed using the Weighted Sum
Rule by assigning weights to iris and face score modalities based on their false accept rate (FAR) and false reject rate (FRR).
2] and r to minimize the following weighted sum
Regression and Bayesian analyses, incorporating different numbers of single nucleotide polymorphisms (SNPs), were used to derive LDL-C gene scores, representing the weighted sum
of LDL-C--raising alleles, where weighting was based on effect sizes from previous genome-wide association studies.