Results 1 to 10 of about 108,649 (170)
H-Max Distance Measure of Bipolar Neutrosophic Sets and an Application to Medical Diagnosis [PDF]
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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Relations among similarity measure, subsethood measure and fuzzy entropy [PDF]
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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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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Measuring Quantum Entropy [PDF]
The entropy of a quantum system is a measure of its randomness, and has applications in measuring quantum entanglement. We study the problem of measuring the von Neumann entropy, $S(ρ)$, and Rényi entropy, $S_α(ρ)$ of an unknown mixed quantum state $ρ$ in $d$ dimensions, given access to independent copies of $ρ$.
Jayadev Acharya +3 more
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Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis
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]
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]
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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Entropy based risk measures [PDF]
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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Entropy Measures for Interval Neutrosophic Vague Sets and Their Application in Decision Making [PDF]
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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Interval-valued Possibility Quadripartitioned Single Valued Neutrosophic Soft Sets and some uncertainty based measures on them [PDF]
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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