Sentence examples for make robust decisions from inspiring English sources
This work focuses on improving computational tools and models required in order to make robust decisions based on high quality information, with specific application to batch processes.
Trial sequential analysis, however, suggests that we need more data before we can make robust decisions on this outcome.
Where there is insufficient evidence to make robust decisions, we believe reimbursement or funding should initially be considered only at similar prices to current standards.
These include [ 4, 9, 10, 20, 34, 36, 41, 81, 84- 90]: Whether the objective of the scheme is fully explicit Whether the level of evidence is sufficient to make robust decisions initially.
The more that is known about the factors that underpin specialty choice however, the more it may be possible to point out these key factors to medical students and junior doctors as part of careers support activities that help this group make robust decisions.
Finally, in order to make robust decision according to the detected fault component, an analysis is done between the output variables of the fuzzy system and components having the same signature in the FSM.
However, previous studies cannot guide organisations towards making robust decisions against complex future conditions since they remain conceptual and rely solely on graphical mapping tools.
The uncertainty analysis method, based on information-gap decision theory, provides a systematic framework for making robust decisions under severe uncertainty, making it particularly well adapted to reserve design problems.
However, little is known about how cells utilize the information of the input signal to make robust and reliable decisions especially in cases of noisy and time-varying signals.
This is because the Coalition government will do the job properly when making robust EPBC decisions".
Given the significant nature of the BD and BDA, this paper presents a state-of-the-art review that presents a holistic view of the BD challenges and BDA methods theorized/proposed/employed by organizations to help others understand this landscape with the objective of making robust investment decisions.
