Entropy 2014, 16(4), 2350-2361; doi:10.3390/e16042350

Fractional Order Generalized Information

Received: 3 April 2014; in revised form: 16 April 2014 / Accepted: 21 April 2014 / Published: 24 April 2014
(This article belongs to the Special Issue Complex Systems and Nonlinear Dynamics)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: This paper formulates a novel expression for entropy inspired in the properties of Fractional Calculus. The characteristics of the generalized fractional entropy are tested both in standard probability distributions and real world data series. The results reveal that tuning the fractional order allow an high sensitivity to the signal evolution, which is useful in describing the dynamics of complex systems. The concepts are also extended to relative distances and tested with several sets of data, confirming the goodness of the generalization.
Keywords: information; entropy; fractional calculus
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MDPI and ACS Style

Machado, J.T. Fractional Order Generalized Information. Entropy 2014, 16, 2350-2361.

AMA Style

Machado JT. Fractional Order Generalized Information. Entropy. 2014; 16(4):2350-2361.

Chicago/Turabian Style

Machado, José T. 2014. "Fractional Order Generalized Information." Entropy 16, no. 4: 2350-2361.

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