Sentence examples for fuzzy threshold from inspiring English sources

As the actual line loss depends on other factors as well, the 4200-m threshold is only a fuzzy threshold (Falck et al., 2014).

In this paper, fuzzy threshold values, instead of crisp threshold values, have been used for optimal reliability-based multi-objective Pareto design of robust state feedback controllers for a single inverted pendulum having parameters with probabilistic uncertainties.

Classification uncertainty assessed as the proportion of fuzzy object area within a class at a given fuzzy threshold value was the highest for all classes in November 2007, and consistently higher for Mudflat than for other classes in all scenes.

It is shown that multi-objective reliability-based Pareto optimization of the robust state feedback controllers using MUGA with fuzzy threshold values includes those that may be obtained by various crisp threshold values of probability of failures and, thus, remove the difficulty of selecting suitable crisp values.

On the left, an example of fuzzy threshold is reported, where in x-axis the possible values for the parameter are reported, while in the y-axis is represented the degree of truth of the statement 'the parameter is anomalous', given a measurement equal to x.

Many existing indicators of graduate jobs are inadequate, however, not so much because of a fuzzy threshold but because they are inflexible, loosely connected to high-skills utilisation, or inappropriately defined from the supply side (with attendant risks of pointless tautology: "graduate jobs are the jobs that graduates do").

Under this scheme, the nonlinear networked control system is formulated as a Takagi Sugeno fuzzy threshold-error-dependent system with asynchronous normalized membership functions.

Using fuzzy logic, FuzzyQoS-3 uses fuzzy thresholds to adapt to the dynamic conditions.

FuzzyQoS uses fuzzy thresholds to adapt the traffic transmission rate to the dynamic conditions.

First, the upper and lower fuzzy thresholds are designed, and then the sampled value of the process variable is transformed into a piece of alarm evidence to measure the degrees of uncertainty about whether an alarm should be triggered or not by the sampled value.

The fuzzy adaptive threshold will be generated using fuzzy parity equations.