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It's hard to have a successful small business if there's uncertainty in the environment.
It argues that in reaction to uncertainty in the environment, an organization tends to choose an accepted organizational form in order to achieve organizational aims.
The knowledge required to handle vagueness or uncertainty in the environment has been modelled with an Adaptive Neuro Fuzzy Inference System (ANFIS) in berths.
These factors could include the degree of bounded rationality of the steering institution in setting the references, the inability of translating reference variables into clear or acceptable directives, the capabilities of the bureaucracy, the inherent uncertainty in the environment and so on.
Our results suggest that one possible reason for these effects is that being treated fairly reduces people's perception of uncertainty in the environment and while risk averse people find low uncertainty desirable and react positively to it, risk seeking people do not.
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In this study, we used robust optimization approaches in resource allocation which can be a useful planning tool with the ability to deal with uncertainties in the environment.
This method might have a wider range of applications due to its insensitivity to uncertainties in the environment, such as the working distance, sample thickness, and substrate material.
Considering entrepreneurs think innovatively and take risks with an optimistic bias in evaluating the uncertainties in the environment, we can conclude that low uncertainty avoidance cultures will foster entrepreneurial traits such as risk-taking and optimism.
These nodes are coordinated through the performance objectives and the possible dynamic coupling between the nodes in the presence of large uncertainties in the environment, in the observations, and through the communication channels between nodes.
The fuzzy adaptive controller in the outer loop adjusts the manipulator tip position to compensate for uncertainties in the environment (stiffness and geometric location) with the purpose of reducing the error force.
Using a modularity/fractionation decision framework, developed in our group, we calculate the net value that is gained (or lost) by moving from a monolithic to a fractionated architecture and show how the sign and magnitude of this value change as a function of uncertainties in the environment and various system parameters.
More suggestions(15)
uncertainty in the classification
uncertainty in the field
uncertainty in the magnitude
uncertainty in the choice
uncertainty in the sector
uncertainty in the time
uncertainty in the tree
uncertainty in the age
uncertainty in the determination
uncertainty in the estimation
uncertainty in the accuracy
uncertainty in the analysis
uncertainty in the forecast
uncertainty in the response
uncertainty in the literature
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