'uncertainty environment' is correct and usable in written English.
You can use it to describe a situation in which the potential outcomes are uncertain, unpredictable, and hard to predict. For example, "The COVID-19 pandemic has created an uncertainty environment that has made it difficult to plan for the future."
Therefore, this new technology can help stakeholders in the decision-making process under an uncertainty environment.
We explore how transitions from a high uncertainty environment (reciprocal exchange) to lower-uncertainty environments (nonbinding or binding negotiated exchange) affect the level of trust among exchange partners.
In order to solve the design problem of equipment procurement project organization (EPPO) in high uncertainty environment, the viable system model (VSM) is used in this paper.
Location problem of cross docks has been considered in an uncertainty environment.
In "Literature review" section, the brief of literature on production distribution problems with decentralized decision making as well as modeling efforts for tackling uncertainty environment are reviewed.
The main contributions of this paper can be summarized as follows: Location problem of cross docks has been considered in an uncertainty environment A mathematical model has been developed which simultaneously optimizes location of cross docks, number of indoor trucks and outdoor trucks.
This paper shows a multi-objectives mixed-integer non-linear programming (MINLP) model for a petrochemical supply chain under uncertainty environments, namely disruption risks and less knowledge of parameters.
The second is, called testing coverage model with uncertainty environments, also an NHPP with considerations of the uncertainty of operating environments where the testing coverage function follows the Loglog distribution.
We show that the proposed analytical expressions provide high accuracy and that the SCN detector outperforms the well-known energy detector and the largest eigenvalue detector even with a small number of dimensions and low noise uncertainty environments.
Yousefi-Babadi et al. (2017) proposed a multi-objectives mixed-integer non-linear programming (MINLP) model for a petrochemical supply chain under uncertainty environments, namely disruption risks and less knowledge of parameters.
Some theorists (e.g., Eisenhardt 1989; Eisenhardt and Martin 2000; Zahra et al. 2006; O'Connor 2008) suggest that high uncertainty environments compel firms to develop better KMC which promote creation of new, situation-specific knowledge and improve creative thinking that lead to superior innovation performance.
