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This study also demonstrates the usefulness of using the Analytic Hierarchy Process as a technique for creating measurement scales in situations where no pre-existing scale exists.
This was achieved through surveying FE and BSE and conducting an analytical study using the Analytic Hierarchy Process (AHP) technique.
We construct an analytic parametrix, using the analytic pseudodifferential calculus in [195], that allows us to reconstruct the solenoidal part of a tensor field from its geodesic X-ray transform, up to a term that is analytic near Ω.
A MCDA using the Analytic Hierarchy Process (AHP; see Methods for a description) allows us to make better decisions in complex situations involving tradeoffs by explicitly considering the risks and benefits of alternatives.
The highly qualitative relationships among these concepts are operationalized using the Analytic Network Process (ANP).
The R index model is developed using the analytic hierarchy process (AHP).
Finally, by using the Analytic Hierarchy Process (AHP) technique, a new hierarchical wireless NoC is proposed.
Using the analytic results, a particular loop parameter is designed and loop performance is characterized.
These impact categories were then combined into an overall environmental impact (OEI) score using the analytic hierarchy process (AHP).
In an intermediate zone we compute the gravitational attraction produced by each prism using the analytic formula.
The approach is validated by showing that simulations using the analytic model match the measured values well.
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