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An Alternative to Entropy in the Measurement of Information [PDF]
Entropy, 2004 : Entropy has been the main tool in the analysis of the concept of information since information theory was conceived in the work of Shannon more than fifty years ago.
Marcin J. Schroeder
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Fluctuation of Information Entropy Measures in Cell Image [PDF]
Entropy, 2017 A simple, label-free cytometry technique is introduced. It is based on the analysis of the fluctuation of image Gray Level Information Entropy (GLIE) which is shown to reflect intracellular biophysical properties like generalized entropy.
Ishay Wohl +4 more
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Generalised information and entropy measures in physics [PDF]
Contemporary Physics, 2009 The formalism of statistical mechanics can be generalized by starting from more general measures of information than the Shannon entropy and maximizing those subject to suitable constraints. We discuss some of the most important examples of information measures that are useful for the description of complex systems.
Christian Beck
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Properties of Risk Measures of Generalized Entropy in Portfolio Selection
Entropy, 2017 This paper systematically investigates the properties of six kinds of entropy-based risk measures: Information Entropy and Cumulative Residual Entropy in the probability space, Fuzzy Entropy, Credibility Entropy and Sine Entropy in the fuzzy space, and ...
Rongxi Zhou +3 more
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A Fractional (q,q′) Non-Extensive Information Dimension for Complex Networks
Fractal and Fractional, 2023 This article introduces a new fractional approach to the concept of information dimensions in complex networks based on the (q,q′)-entropy proposed in the literature. The q parameter measures how far the number of sub-systems (for a given size ε) is from
Aldo Ramirez-Arellano +2 more
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Entropy Measures for Interval Neutrosophic Vague Sets and Their Application in Decision Making [PDF]
Neutrosophic Sets and Systems, 2021 Entropy measure is an important tool in measuring uncertain information and plays a vital role in solving Multi Criteria Decision Making (MCDM). At present, various entropy measures in literature are developed to measure the degree of fuzziness. However,
Hazwani Hashim +3 more
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Some Information Measures Properties of the GOS-Concomitants from the FGM Family
Entropy, 2022 In this paper we recall, extend and compute some information measures for the concomitants of the generalized order statistics (GOS) from the Farlie–Gumbel–Morgenstern (FGM) family.
Florentina Suter +2 more
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Information Entropy and Measures of Market Risk [PDF]
Entropy, 2017 In this paper we investigate the relationship between the information entropy of the distribution of intraday returns and intraday and daily measures of market risk. Using data on the EUR/JPY exchange rate, we find a negative relationship between entropy and intraday Value-at-Risk, and also between entropy and intraday Expected Shortfall.
Daniel Traian Pele +2 more
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Recent developments in quantitative graph theory: information inequalities for networks. [PDF]
PLoS ONE, 2012 In this article, we tackle a challenging problem in quantitative graph theory. We establish relations between graph entropy measures representing the structural information content of networks.
Matthias Dehmer, Lavanya Sivakumar
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Entropy measures vs. algorithmic information [PDF]
2010 IEEE International Symposium on Information Theory, 2010 Algorithmic entropy and Shannon entropy are two conceptually different information measures, as the former is based on size of programs and the later in probability distributions. However, it is known that, for any recursive probability distribution, the expected value of algorithmic entropy equals its Shannon entropy, up to a constant that depends ...
Andreia Teixeira +3 more
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