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Detailed, dynamic computer simulation is highly accurate and can be used for iterative design and multiple scenario evaluation.
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Multiple scenario sets allow the group to identify even better (lower cost/lower emissions) strategies.
The second pair includes the multiple plan approach (MPA) and the multiple scenario approach (MSA).
For a thorough evaluation, multiple scenarios need to be simulated.
The AOR-index facilitates the evaluation of multiple scenarios and allows for multi-species assessments.
The approach utilizes common tools for spatial knowledge discovery and builds on existing research, but is specifically designed for implementation within the context of landscape perception analysis and particularly suited as a base for further evaluation in multiple scenarios.
We focused on two possible solutions: evaluating multiple scenarios simultaneously rather than in sequence in order to best evaluate the quality of a person's decision, and highlighting the role of intentions during the evaluation process.
The bid evaluation process must solve multiple scenarios of a difficult combinatorial optimization model.
We then evaluate the algorithm through multiple scenarios.
It played out multiple scenarios.
Otherwise, multiple scenarios can explain the data.
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