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In Eq. (7), Δ t) represents uncertainty and external disturbances generated during the actual modeling process.
A Lagrangian streamline approach that stochastically represents uncertainty in spatial hydraulic conductivity distribution is coupled to kinetic reactive transport in a heterogeneous 3-D domain.
During power system restoration, a transient power sag represents uncertainty: it is difficult to precisely predict the start time and the duration of transient power sags.
BMA for input variables to energy models represents uncertainty based on probabilistic assessment and hence can also range from certainty to total ignorance.
Rather representing uncertainty in trapezoidal type 1 fuzzy sets, this paper represents uncertainty in measurement, preference, judgment, or prediction in terms of trapezoidal interval type 2 fuzzy sets instead.
The MATA approach supports more informed decision-making because it exposes important trade-offs among competing management objectives (requiring value-based choices), helps guide and structure necessary technical judgements, explicitly represents uncertainty (i.e., not just expected outcomes but risk profiles around outcomes) and addresses temporal trade-offs.
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Fuzzy logic distinguishes different ways to represent uncertainty.
Implications for representing uncertainty in IA models are discussed.
There now exists a wide variety of formal devices for representing uncertainty (Halpern 2003).
The approach considers two spatial scales for representing uncertainty: local and global.
Fuzzy logic can be used both to represent uncertainty and imprecision [23].
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