Results 11 to 20 of about 10,673,868 (348)
Free and classical entropy over the circle. [PDF]
, 2007 Relative entropy with respect to normalized arclength measure on the circle is greater than or equal to the negative logarithmic energy (Voiculescu's negative free entropy) and is greater than or equal to the modified relative free entropy.
Blower, Gordon
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, 2021 While fuel cell combined with hydrogen (FCH) technology is still largely in its infancy striving to find its footing, the present market stage towards commercialisation is bridged by the pervasive research and development (R&D) and innovation.
M. Alipour +4 more
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Entropy based risk measures [PDF]
European Journal of Operational Research, 2020 Entropy is a measure of self-information which is used to quantify losses. Entropy was developed in thermodynamics, but is also used to compare probabilities based on their deviating information content. Corresponding model uncertainty is of particular interest in stochastic programming and its applications like mathematical finance, as complete ...
Alois Pichler, Ruben Schlotter
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Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis
IEEE Access, 2020 Fault diagnosis of rolling bearing is of great importance to ensure high reliability and safety in the industrial machinery system. Entropy measures are useful non-linear indicators for time series complexity analysis and have been widely applied in ...
Zhiqiang Huo +3 more
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Effect of diversification strategy on firm performance with application of entropy measure in Tehran Stock Exchange [PDF]
بررسیهای حسابداری و حسابرسی, 2015 Firm managers seek a way to improve their firm performance. One way is to use diversification strategy which creates range of business activities for the firms and leads to a better performance.
Farzaneh Heidarpoor, Kimia Alavi
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Entropy Coherent and Entropy Convex Measures of Risk [PDF]
SSRN Electronic Journal, 2011 We introduce two subclasses of convex measures of risk, referred to as entropy coherent and entropy convex measures of risk. Entropy coherent and entropy convex measures of risk are special cases of φ-coherent and φ-convex measures of risk. Contrary to the classical use of coherent and convex measures of risk, which for a given probabilistic model ...
Roger J. A. Laeven, Mitja Stadje
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Interval-valued Possibility Quadripartitioned Single Valued Neutrosophic Soft Sets and some uncertainty based measures on them [PDF]
Neutrosophic Sets and Systems, 2016 The theory of quadripartitioned single valued neutrosophic sets was proposed very recently as an extension to the existing theory of single valued neutrosophic sets.
Rajashi Chatterjee +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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Entropy of Quantum Measurements
Entropy, 2022 If a is a quantum effect and ρ is a state, we define the ρ-entropy Sa(ρ) which gives the amount of uncertainty that a measurement of a provides about ρ. The smaller Sa(ρ) is, the more information a measurement of a gives about ρ. In Entropy for Effects, we provide bounds on Sa(ρ) and show that if a+b is an effect, then Sa+b(ρ)≥Sa(ρ)+Sb(ρ).
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Mathematics, 2020 This paper focuses on an exciting and essential problem in software companies. The software life cycle includes testing software, which is often time-consuming, and is a critical phase in the software development process.
A. D. Shrivathsan +5 more
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