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Exact(35)
The best result of each evaluation metric is in bold.
It also calls the weight coefficient of each evaluation factor.
(d) Constructing temporal patterns of each evaluation index.
Table 4 is the result of the calculation of each evaluation value against each method.
A novel AHP based on rough number is presented to determine the weight of each evaluation criterion.
The importance of a correct coefficient of friction and the advantages of each evaluation method are discussed.
Similar(25)
Expected levels of performance for each evaluation are provided.
Using this approach, called maxF, we derived a set of predictions for each evaluation dataset.
Eventually the evaluation on each candidate repair material is made by comparing relative weights of each performance evaluation item to all evaluation values of each candidate repair material like Eq. (10).
Each evaluation of the likelihood function (4) requires calculation of 2 L 2D integrals.
Table 8 Global weight and local weight of each performance evaluation item.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com