Sentence examples similar to developed from fuzzy entropy from inspiring English sources

Because the fuzzy model can approximate any non-linear system, the proposed robust regulation design method developed from the fuzzy stochastic game theory can be applied to the robust regulation design problem of any synthetic gene network that can be interpolated by a T S fuzzy model.

In this study, based on fuzzy interpolation approximation, the robust stabilization problem for tolerating process delays and intrinsic molecular fluctuations and H∞ filtering design problem for attenuating extrinsic molecular noises of gene networks can be efficiently solved via a set of linear matrix inequalities (LMIs) developed from a set of fuzzy local linear stochastic systems.

The hybrid neuro-fuzzy approach developed from the combination of neural network and fuzzy system paves way for implementing an effective tool/algorithm for solving non-linear and complex real-world problems.

The proposed fuzzy wavelet neural network (FWNN) is developed from the interval type-2 fuzzy logic system which has the advantage to model uncertainties.

In this paper, a new fuzzy model is developed from the probabilistic and statistical point of view.

In the first stage, an initial fuzzy model is developed from the rules derived from the output-input relationship of the concerned model.

Finally the uncertainties of the culture sets are quantified by the measure of fuzzy entropy.

Step 1. Definition of fuzzy entropy.

The proposed definition evaluation based on fuzzy entropy is used to calculate the image definition value.

Moreover, in order to reduce computational cost, some authors have combined fuzzy selection mechanisms with genetic algorithms or even have introduced the concept of fuzzy entropy for selecting relevant features [ 44- 46].

It is developed from the inversion of the T-S fuzzy model.