An Entropy Measure of Non-Stationary Processes
Entropy, 2014 Shannon’s source entropy formula is not appropriate to measure the uncertainty of non-stationary processes. In this paper, we propose a new entropy measure for non-stationary processes, which is greater than or equal to Shannon’s source entropy.
Ling Feng Liu +3 more
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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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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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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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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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Similarity measure, entropy and distance measure of multiple sets [PDF]
Journal of Fuzzy Extension and ApplicationsA multiple set is an extended version of a fuzzy set that simultaneously addresses an element’s multiplicity and uncertainty. In this paper, we define the approximate equality of multiple sets and study some relevant properties associated with it.
Sanjitha Radhakrishnan, Baiju Thankachan
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New Entropy, Similarity Measure of Intuitionistic Fuzzy Sets and their Applications in Group Decision Making [PDF]
International Journal of Computational Intelligence Systems, 2013 In this paper, we propose a new entropy measure with geometrical interpretation of intuitionistic fuzzy sets. Compared with the entropy measure provided by Szmidt and Kacprzyk, the new entropy formula in this paper can measure both fuzziness and ...
Xia Liang, Cuiping Wei, Meimei Xia
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Measure theoretic entropy of random substitution subshifts [PDF]
, 2022 Subshifts of deterministic substitutions are ubiquitous objects in dynamical systems and aperiodic order (the mathematical theory of quasicrystals). Two of their most striking features are that they have low complexity (zero topological entropy) and are ...
Mitchell, A. +11 more
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