'control uncertainty' is a correct and usable phrase in written English.
You can use it whenever you need to refer to a situation in which people seek to limit or manage uncertainty or lack of predictability. For example: "The firm has implemented several strategies to control uncertainty and ensure their continued success."
In order to control uncertainty and instability of single classifiers in financial distress prediction, this research proposed a multiple classifiers hybrid combination model for financial distress prediction.
Gillespie et al. studied what prevented parents from enrolling their children in obesity studies, and potential answers included a lack of control, uncertainty, fear of confronting issues, and some just had no good reason [12].
We also study the dependency of a plan on control uncertainty and we show that the structure of a reliable plan only changes at critical values of this uncertainty.
Although more than half of the sample (56%) are aware of the presence of some forms of farmer cooperation and contracts in the area, only 32% of the sample entrepreneurs have participated, focusing mainly on the marketing side to control uncertainty, to secure a minimum price and access to markets (Table 3).
Each of the themes we describe evolved from participants talking about how they struggle with feelings of uncertainty and the strategies they develop to control uncertainty.
It can include feelings of hopelessness, dependency, loss of control, uncertainty; worrying about the future, concern about being a burden to others, and loss of dignity.
They are practical with lack of ERP system Statistical and hybrid methods are useful to control uncertainties in real condition and improve the effectiveness of both evaluation and decision making; however, they are not independent and complete tools.
This predictive fuzzy control method provides a new way for controlling uncertainty and complex linear and nonlinear systems, even with significant time delay.
With a focus on controlling uncertainties and their consequences, risk management concepts are firmly rooted in the ideas and approaches of the engineering sciences.
It discusses some of the most important topics of adaptive control: plant uncertainty parametrization, stable controller adaptation, and design conditions for different adaptive control schemes.
This condition becomes challenging for the reactor modeling and control since uncertainty in the feed composition turns into time-dependent uncertainty and requires a batch-process based stochastic optimal control.
