Results 11 to 20 of about 528,328 (297)
Entropy measures of distance matrix [PDF]
Discrete Mathematics Letters, 2022 Bonchev and Trinajstic defined two distance based entropy measures to measure the molecular branching of molecular graphs in 1977 [Information theory, distance matrix, and molecular branching, J. Chem. Phys., 38 (1977), 4517–4533]. In this paper we use these entropy measures which are based on distance matrices of graphs.
Bünyamin Şahin, Abdulgani Şahin
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H-Max Distance Measure of Bipolar Neutrosophic Sets and an Application to Medical Diagnosis [PDF]
Neutrosophic Sets and Systems, 2021 A single-valued neutrosophic set is one of the advanced fuzzy sets that is capable of handling complex real-world information satisfactorily. A development of single-valued neutrosophic set and fuzzy bipolar set, called a bipolar neutrosophic set, was ...
Roan Thi Ngan +2 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 ...
Pichler, Alois, Schlotter, Ruben
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Relations among similarity measure, subsethood measure and fuzzy entropy [PDF]
International Journal of Computational Intelligence Systems, 2013 In this paper we study the relations among similarity measure, subsethood measure and fuzzy entropy and present several propositions that similarity measure, subsethood measure and fuzzy entropy can be transformed by each other based on their axiomatic ...
Yingfang Li, Keyun Qin, Xingxing He
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IEEE Access, 2023 One of the purposes of fuzzy set theory is to overcome the uncertainties in the problems of multi-criteria decision-making (MCDM) via membership functions. But the fuzzy set theory has own limitations. To remove the limitations on membership functions of
Ali Aydogdu
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Coherent states measurement entropy [PDF]
Journal of Physics A: Mathematical and General, 1997 Coherent states (CS) quantum entropy can be split into two components. The dynamical entropy is linked with the dynamical properties of a quantum system. The measurement entropy, which tends to zero in the semiclassical limit, describes the unpredictability induced by the process of a quantum approximate measurement.
Kwapień, Jarosław +2 more
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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 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 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 ...
Laeven, R.J.A., Stadje, M.
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