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Therefore, we have to be pragmatic in handling uncertainty and insecurity.
The theory of evidence has become a widely used method for handling uncertainty in intelligent systems.
Alternatively, stochastic optimizations are in general better at finding global optimal solutions and handling uncertainty quantification.
Moreover, Model Predictive Control (MPC) is used for handling uncertainty in renewable generation and load.
Bayesian networks are today's standard method for handling uncertainty in computer systems, processing thousands of variables and millions of observations.
In this paper we first explain in detail the IEC 61508 approach for handling uncertainty.
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In this regard, the BD [24, 25] is adopted owing to its capability in handling uncertainties.
Various approaches for handling uncertainties in transmission planning process have been summarized in [6].
The proposed design allows handling uncertainties and lack of modelling at a computationally inexpensive cost.
We propose a Bayesian framework for handling uncertainties in IDF models.
Authors may focus on handling uncertainties in traveling times and on exploring LRP in a closed-loop supply chain system.
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