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As the model's calculation logic is complex and the number of process variant profiles grows exponentially with the number of process contexts (see effectiveness and efficiency), the decision model cannot be applied without the prototype.
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We provide practical experiments that illustrate the efficiency of the decision procedure for realistic scenarios.
Furthermore, the computational efficiency of the decision making and the effect of the uncertainties associated with fatigue crack initiation and propagation on the decision making for optimum inspection planning are investigated.
As a result, in order to improve upon the novel approach presented in [7] without impacting the efficiency of the decision making duration, the network calculated aggregate scores are used as an input into the GM 1,1) algorithm to predict the trend in which the network performance is heading.
We agree with van den Brand that it will be difficult to define a decision rule due to the high fracture ratio in wrists and might therefore not reach the same relative efficiency as the decision rules for knee and ankle trauma [7,8].
The final purpose is thus to contribute to a greater effectiveness and efficiency of the decision making process.
This technique is used with the aim of evaluating the efficiency of the Decision Making Units (DMUs), by analysing the optimal combinations between inputs and outputs, i.e. between consumed resources and the resulting services or goods [ 25].
There is a need to increase efficiency, decentralize the decision making process, and train health staff in the areas of management, policy, and planning [ 10] to implement a minimum package of cost-effective public-health measures and clinical interventions aiming at improving health conditions in low-income countries.
The classification efficiencies of the decision trees were obtained and in an attempt to improve the classification efficiencies, the time-domain and frequency-domain analysis was also performed on the normalised time-domain data.
This model considers that a fair allocation of inputs is one that maximizes the DEA-CCR efficiencies of the Decision Making Units (DMUs).
In visual search and in letter recognition with flankers, it has been demonstrated that AVG training ameliorates the accumulation of information rate over time and consequently the efficiency of the decision-making process57,58,59,60,61.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com