Our study used the information entropy
to measure the uncertainty of the RFID data streams, and analyzed the features that could influence cleaning effect.
According to the Shannon's information entropy
theory, the information entropy
is defined as S = -k[N.
Many scholars tried to tackle this problem by various techniques like Information Entropy
Weight method (El-Santawy, 2012), the weighted average operator (OWA), and several other methods (El-Santawy and Ahmed, 2013).
Using this mathematical connection between thermodynamic entropy and information entropy
, Vieland and colleagues show how to treat statistical data as a gas governed by the laws of thermodynamics.
This parameter can be assessed applying information entropy
for evaluating the accuracy of the raster scale.
This general formulation of the concept is known as information entropy
Direct connection can be seen with information entropy
The unrestricted use of the Internet leads to what Floridi calls information entropy
The paper demonstrates that information entropy
provides an objective measure of project uncertainty.
The information entropy
for a particular experimental condition with a set of M possible outcomes is:
The experiments show that the resulting image quality is comparable with the popular algorithms, or even gets higher information entropy
and contrast of the fused image.
An Information Entropy
Weighting (IEW) method is introduced for the criteria of selection.