Exact(7)
It will require difficult, uncertain decisions.
Therefore, it is reasonable to use FES S m to characterize the uncertain decisions.
Decision-makers have a strong interest in making their uncertain decisions more secure because success depends on decisions.
Significant advances have been made in the development of decision support interventions, also called decision aids, for patients facing difficult or uncertain decisions.
Analyses were performed to assess how robust the results were to uncertain decisions or assumptions that were made about the data.
Complex situations with limited information, limited knowledge of the patient and limited time seemed to force the GPs to make uncertain decisions on a faltering basis.
Similar(52)
For this purpose, we develop two types of C V models for portfolio selection problems in hybrid uncertain decision systems.
There are (frac {M^{2}+M}{2}) uncertain decision propositions with only single-point and two-point FES considered in this paper, where M denotes the modulation constellation set cardinality.
By delimiting the uncertain decision space through dimensional enlargement of the original fuzzy constraints, this approach can enhance the robustness of the optimization effort.
Moreover, this method delimits an uncertain decision space by specifying uncertainties through dimensional enlargement of the original fuzzy constraints, and thus enhances the robustness of the optimization process.
Furthermore, the uncertain decision space has been delimited through dimensional enlargement of the original fuzzy constraints, leading to enhanced robustness for the optimization process.
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