Sentence examples similar to utilizing fuzzy entropy from inspiring English sources

A T S fuzzy model is firstly formed by utilizing fuzzy theorem to amalgamate a set of linearized dynamic equations.

Firstly, a new objective function utilizing kernelized fuzzy entropy clustering with local spatial information and bias correction (KFECSB) is designed.

Fuzzy goal programming utilizes fuzzy set theory to deal with a level of imprecision in the goal programming model.

Higher level analyses of DTGs utilized fuzzy k-means clustering as described previously [ 8, 55, 56].

Furthermore, IMFE that is designed to avoid the inaccurate estimation of fuzzy entropy can be utilized to quantify the complexity and self-similarity of time series for a range of scales based on fuzzy entropy.

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

A new divergence formula based on exponential intuitionistic fuzzy entropy has been proposed.

Then, two nonlinear parameters namely; K-Nearest Neighbour (K-NN) entropy estimator and Fuzzy Entropy (FzEn) are extracted from the decomposed sub-band signals.

Multiscale fuzzy entropy (MFE) has been taken as a prevalent tool for complexity measure of time series.

Several functions are constructed for evaluating the significance of features based on kernel approximation and fuzzy entropy.

Second, fuzzy entropy, an effective complexity measurement, is employed to analyze both the whole system and inner features.