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Uncertainty consideration 8.
Uncertainty consideration −How do you deal with the uncertain factor you have identified?
For overload or underload detection, our approaches presented above to apply long-term prediction with uncertainty consideration are used.
Fourth, the study of other uncertainty consideration approaches, e.g., several probability distributions, are suggested to formulate the considered problem and compare these approach behaviors with each other.
The purpose of this work is to investigate robust design problems for estimation of the response probability curve under binary response experiments with model uncertainty consideration.
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Uncertainty considerations are introduced in the study.
Finally, comparing the stochastic DES designs against deterministic ones reveal significant differences, illustrating the importance of uncertainty considerations in the design of autonomous DES.
Additionally, this review can serve to assist modellers who wish to introduce uncertainty considerations in their DES design model with the selection of appropriate UC approaches.
However, with the 20-year Intergovernmental Panel on Climate Change (IPCC) factors, methane emissions from biogas largely compensate the fossil CO2 emissions in our case and no robust difference is observed under uncertainty considerations.
Our framework details data source and preparation, function requirements, data fitting approaches, uncertainty considerations and documentation required to derive a new vulnerability and/or function for a critical infrastructure sector or component impacted by volcanic hazards.
It would seem that interdisciplinary science still has a long way to go before crucial integration with the non-economic social sciences and uncertainty considerations are achieved more routinely.
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