Sentence examples for an uncertain problem from inspiring English sources

It is quite clear that the behavior toward an uncertain problem should be flexible and therefore the fuzzy-based approach is applied to deal with such problems [4].

If we regard the initial allocation of emission permits as an uncertain problem, according to entropy maximization theorem, its probability distribution is the one which has maximum entropy and the mathematical forms are exponential functions.

Because determining the weights of the alternatives is a fuzzy and uncertain problem, the D-AHP method, which extends traditional AHP with D numbers and can handle uncertain problems more effectively, is introduced to determine the weights of the alternatives.

In order to solve the uncertain problem, a neural network based on radial basis function (RBF) is used to estimate the unknown dynamics of the robot manipulator.

Thus, solving an uncertain diagnostic problem amounts to solving at one time several traditional diagnostic problems.

A simulation of this problem environment is described, allowing for a series of computational experiments evaluating how model utility is influenced by a range of key dynamic or uncertain problem and model characteristics.

And many leaders have a tendency to discount the future; they're reluctant to spend time and money now to avoid an uncertain future problem that might occur down the road, on someone else's watch.

Besides, in order to account for the feasibility and validity of the proposed method, two numerical examples are given including an uncertain buckling problem and a first-ply failure analysis with temperature and moisture effects for composites.

To address the issue of over-conservatism, an uncertain linear problem with ellipsoidal uncertainties is considered to attain a less conservative solution [31].

Talking about an uncertain optimization problem, we consider the uncertain data to be given as a parameter (also called scenario) ξ ∈ U where U ⊆ R m is the so-called uncertainty set.

Existing approaches for these problems are either restricted to deterministic environments or can only address a modest number of scenarios for the uncertain problem parameters.