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Exact(6)
In which w i is the weight of each indicator.
Finally, the weight of each indicator can be calculated.
Estimating the unit weight of each indicator parameter (W i ) by considering the weightage of each parameter.
The weight of each indicator was calculated based on their factor scores and the proportion of variance of each component.
Before calculating the standardized score of each dimension, a subjective (AHP) and an objective method (principal component analysis method) were employed to determine the weight of each indicator.
Construction of the Material Affluence Scale (MAS) We employed the statistical method of principal component analysis (PCA) to determine the weight of each indicator on the material affluence scale.
Similar(54)
The decision algorithm was designed based on the integration of two distinctive Multiple Attribute Decision Making (MADM) techniques: Analytic Hierarchy Process (AHP) approach was used to determine the weights of each indicator, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique was applied to obtain the prioritization of alternative cutting fluids.
The determination of the weight for each indicator and criteria is done by using pairwise comparison analysis with the scale of measurement in the form of the original number from 1 to 9. The consistency of weight determination by the expert is evaluated by using the ratio of consistency ratio.
The present analysis has given equal weight to each indicator since the appropriateness of giving weights is still dubious as there is no standard weighting method against each method which is tested for precision (Deressa 2010).
The final weight for each indicator was an average of the results given by all experts.
The weight coefficient of each indicator can be calculated by using fuzzy analytic hierarchy process (FAHP), then experts give scores for each indicator according to maintenance projects.
Related(20)
weight of each marker
relevance of each indicator
weight of each data
weight of each measure
weight of each factor
weight of each predictor
weight of each study
weight of each parameter
weight of each term
weight of each reactor
weight of each item
weight of each component
weight of each reflector
weight of each arm
weight of each place
weight of each element
weight of each feature
weight of each criterion
weight of each edge
weight of each control
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