Results 31 to 40 of about 528,328 (297)
Relative entropy, Haar measures and relativistic canonical velocity distributions [PDF]
, 2007 The thermodynamic maximum principle for the Boltzmann-Gibbs-Shannon (BGS) entropy is reconsidered by combining elements from group and measure theory. Our analysis starts by noting that the BGS entropy is a special case of relative entropy.
Banavar J Maritan A +17 more
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Technological and Economic Development of Economy, 2023 Probabilistic dual hesitant fuzzy set (PDHFS) is a more powerful and important tool to describe uncertain information regarded as generalization of hesitant fuzzy set (HFS) and dual HFS (DHFS), not only reflects the hesitant attitude of decision-makers (
Baoquan Ning +3 more
doaj +1 more source
Quantum Information and Entropy [PDF]
, 2006 Thermodynamic entropy is not an entirely satisfactory measure of information of a quantum state. This entropy for an unknown pure state is zero, although repeated measurements on copies of such a pure state do communicate information. In view of this, we
A. C. Elitzur +5 more
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Measurement Invariance, Entropy, and Probability [PDF]
Entropy, 2010 We show that the natural scaling of measurement for a particular problem defines the most likely probability distribution of observations taken from that measurement scale. Our approach extends the method of maximum entropy to use measurement scale as a type of information constraint.
Frank, Steven A, Smith, D. Eric
openaire +6 more sources
Entropy and the variational principle for actions of sofic groups [PDF]
, 2010 Recently Lewis Bowen introduced a notion of entropy for measure-preserving actions of a countable sofic group on a standard probability space admitting a generating partition with finite entropy.
A.N. Kolmogorov +15 more
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A Dual Measure of Uncertainty: The Deng Extropy [PDF]
, 2020 The extropy has recently been introduced as the dual concept of entropy. Moreover, in the context of the Dempster–Shafer evidence theory, Deng studied a new measure of discrimination, named the Deng entropy.
Buono, Francesco, Longobardi, Maria
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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 ...
Teixeira, Andreia +3 more
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New Entropy-Based Similarity Measure between Interval-Valued Intuitionstic Fuzzy Sets
Axioms, 2019 In this paper, we propose a new approach to constructing similarity measures using the entropy measure for Interval-Valued Intuitionistic Fuzzy Sets. In addition, we provide several illustrative examples to demonstrate the practicality and effectiveness ...
Saida S. Mohamed +2 more
doaj +1 more source
Quantum measurement and entropy production [PDF]
Physics Letters A, 2001 5 pages, 2 ...
Grigolini P, Pala M, Palatella L
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Approximate entropy of network parameters [PDF]
, 2011 We study the notion of approximate entropy within the framework of network theory. Approximate entropy is an uncertainty measure originally proposed in the context of dynamical systems and time series.
Lacasa, Lucas +3 more
core +3 more sources