The phrase "average weighting" is correct and usable in written English.
It can be used in contexts involving statistics, data analysis, or any situation where you are discussing the average of weighted values.
Example: "To calculate the final score, we need to determine the average weighting of each component in the assessment."
Alternatives: "mean weight" or "weighted average".
For example, we might compute the distance of a theory from the various possibilities for the truth, and then make a weighted average, weighting each possible true theory by its probability on the evidence.
The feasibility-of-objectives (FOO) technique has become the current standard for assessing reliability designs for military mechanical electrical systems, whereas the average weighting allocation method is widely used for commercial applications.
To address these issues, we propose the use of the maximal entropy ordered weighted averaging (ME-OWA) method, which efficiently resolves the shortcomings of the FOO technique and the average weighting allocation method.
Bill Rocco, an equities analyst at the Chicago-based mutual fund tracking company, Morningstar, Inc. says that the average weighting of these funds is approximately 27% U.S., 35% Europe, 10% Pacific Rim, 10% emerging markets, 9% Japan, 4% Latin American and the other 5% elsewhere.
The aggregation is formulated as below: D i j = ( 1 / m ) ⊗ ( D i j 1 ⊕ D i j 2 ⊕ … ⊕ D i j m ), t = 1, 2, …, k (1 where, ⊗ is the multiplication of fuzzy numbers, ⊕ is the add operation of fuzzy numbers, and D ij is the overall average weighting valuation of alternative i under criterion j over m assessors.
Weights are applied to each edge by calculating the square of the mean of the two adjacent nodes of the edge, FC 1 + FC 2 2. The average weighting scheme was considered best suited to the random walk approach as it allows for more descriptive probabilities than weighting schemes that use for example, maximum or minimum values.
