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 of 41).

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 of square:

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.