Results 281 to 290 of about 10,673,868 (348)
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, 2021
The various extensions of the fuzzy set are considerably applied in many complex problems of real world to describes the improper information. The PFS (pythagorean fuzzy set) which is the expanded form of IFS (intuitionistic fuzzy set) is more applicable
Ravinder Kumar, N. Gandotra, Suman
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The various extensions of the fuzzy set are considerably applied in many complex problems of real world to describes the improper information. The PFS (pythagorean fuzzy set) which is the expanded form of IFS (intuitionistic fuzzy set) is more applicable
Ravinder Kumar, N. Gandotra, Suman
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Fuzzy Dispersion Entropy: A Nonlinear Measure for Signal Analysis
IEEE transactions on fuzzy systems, 2022Entropy is a powerful tool for nonlinear analysis of time series. We have recently introduced dispersion entropy (DispEn), which has widely drawn attention from researchers in a variety of settings in data analysis.
M. Rostaghi +3 more
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Measurement of granular entropy
Physical Review E, 2009Recently, Dean and Lefèvre [Phys. Rev. Lett. 90, 198301 (2003)] developed a method for testing the statistical mechanical theory of granular packings proposed by Edwards and co-workers [Physica A 157, 1080 (1989); Phys. Rev. E 58, 4758 (1998)]. The method relies on the prediction that the ratio of two overlapping volume histograms should be exponential
Mcnamara, Sean +4 more
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Multiscale Diversity Entropy: A Novel Dynamical Measure for Fault Diagnosis of Rotating Machinery
IEEE Transactions on Industrial Informatics, 2021In this article, a fault diagnosis scheme based on multiscale diversity entropy (MDE) and extreme learning machine (ELM) is presented. First, a novel entropy method called diversity entropy (DE) is proposed to quantify the dynamical complexity.
Xianzhi Wang, Shubin Si, Yongbo Li
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Applied Acoustics, 2020
This work contributes towards the development of a new approach of automatic identification of defects present in the bearing of a centrifugal pump using symmetric single valued neutrosophic cross entropy (SVNCE) of Variational Mode Decomposition (VMD ...
Anil Kumar +4 more
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This work contributes towards the development of a new approach of automatic identification of defects present in the bearing of a centrifugal pump using symmetric single valued neutrosophic cross entropy (SVNCE) of Variational Mode Decomposition (VMD ...
Anil Kumar +4 more
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2010
A definition for the entropy of fuzzy measures defined on set systems is proposed. The underlying set is not necessarily the whole power set, but satisfy a condition of regularity. This definition encompasses the classical definition of Shannon for probability measures, as well as the definition of Marichal et al.
Aoi Honda, Michel Grabisch
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A definition for the entropy of fuzzy measures defined on set systems is proposed. The underlying set is not necessarily the whole power set, but satisfy a condition of regularity. This definition encompasses the classical definition of Shannon for probability measures, as well as the definition of Marichal et al.
Aoi Honda, Michel Grabisch
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IEEE Transactions on Information Theory, 1965
A probability space of a special type is put into correspondence with a measure space. Under this correspondence, sets in the measure space correspond to partitions of the probability space and the measure of a set equals the entropy of the corresponding partition.
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A probability space of a special type is put into correspondence with a measure space. Under this correspondence, sets in the measure space correspond to partitions of the probability space and the measure of a set equals the entropy of the corresponding partition.
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Optimized Fuzzy Slope Entropy: A Complexity Measure for Nonlinear Time Series
IEEE Transactions on Instrumentation and MeasurementEntropy has long been a subject that has attracted researchers from a diverse range of fields, including healthcare, finance, and fault detection. Slope entropy (SE) has recently been proposed as a new approach to address the shortcomings of permutation ...
Yuxing Li +4 more
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2022
This chapter studies the measurement of the entropy of a substance, which is important to make the Second Law quantitative. This is achieved by measuring heat capacities. The chapter then looks at the calorimetric measurement of entropy. Entropies are determined calorimetrically by measuring the heat capacity of a substance from low temperatures up to ...
Peter Atkins +2 more
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This chapter studies the measurement of the entropy of a substance, which is important to make the Second Law quantitative. This is achieved by measuring heat capacities. The chapter then looks at the calorimetric measurement of entropy. Entropies are determined calorimetrically by measuring the heat capacity of a substance from low temperatures up to ...
Peter Atkins +2 more
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On the Shannon measure of entropy
Information Sciences, 1981Abstract This paper deals with the axiomatic characterization of Shannon's entropy for generalized probability distributions (A. Renyi, 1961). Also the author has extended Shannon's entropy to subsets of n-dimensional Euclidean space, n = 1,2,3,…. Finally, he has introduced a functional equation, which is a generalization of the one due to T.
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