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For most new market-approved treatments, the clinical evidence is insufficient to fully guide physicians and policy makers in choosing the optimal treatment for their patients.
Uncertainties come in many shapes and forms, and processing uncertain spatial data requires a practical taxonomy to aid decision makers in choosing the most suitable data modeling and analysis method.
In order to capture the rationality experienced by decision makers in choosing the best alternative(s), of much interest is to study the consistency of preference relations in the analytic hierarchy process (AHP).
The FFAI enabled a comprehensive assessment of human disturbance on a local scale in Amazonian floodplain forests and can be a useful tool for decision makers in choosing priority areas for interventions and for targeting the type of intervention that must be carried out.
In this paper, we propose an integer programming model that helps decision makers in choosing the sites where to locate the unsorted waste collection bins in a residential town, as well as the capacities of the bins to be located at each collection site.
This compilation provides aid for decision makers in choosing adequate case-specific data.
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The results presented here could potentially assist engineers and decision-makers in choosing appropriate locations and designs for levees in the future.
This work analyzes the strategic interaction between a defender and an intelligent attacker by means of a game and reliability framework involving a multi-objective approach and imperfect information so as to support decision-makers in choosing efficiently designed security systems.
The results of this work showed that the obtained Pareto frontier by MOPSO-DE algorithm can be extremely appropriate in complex multi-reservoir systems and may help decision-makers in choosing management policies with respect to societal and political considerations that are difficult to model.
We understand that cost-effectiveness ratios do not provide a definitive answer, but it can assist the decision maker in choosing the most appropriate intervention given the cost, effectiveness, and resources available to implement the program.
(1) Optimization solutionsFirstly, the results of planning without consideration of decision makers' interests in choosing CO2 capture technologies are discussed.
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