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Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22223
Abstract: The q‐rung orthopair fuzzy set (qROPFS), proposed by Yager, is a more effective and proficient tool to represent uncertain or vague information in real‐life situations. Divergence and entropy are two important measures, which have been…
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Keywords:
divergence entropy;
order;
entropy;
divergence ... See more keywords
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Published in 2017 at "Cognitive Computation"
DOI: 10.1007/s12559-017-9480-6
Abstract: This article first aims to critically review the existing literature on entropy measures for hesitant fuzzy elements (HFEs), and then introduces the concept of interval-transformed HFE (ITHFE) which bridges HFEs and interval-valued fuzzy sets (IVFSs).…
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Keywords:
interval transformed;
entropy;
hesitant fuzzy;
decision making ... See more keywords
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Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-017-0719-z
Abstract: This paper proposes some new distance measures between interval-valued neutrosophic sets (IvNSs) and their similarity measures. Then, some entropy measures of IvNS based on the distances are proposed as the extension of the entropy measures…
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Keywords:
similarity;
interval valued;
valued neutrosophic;
measures interval ... See more keywords
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Published in 2020 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-020-1111-2
Abstract: Dual hesitant fuzzy sets (DHFSs), which consist of the membership and the nonmembership hesitancy function, offer a flexible tool when decision makers give their opinions. The main aim of this paper is to investigate distance…
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Keywords:
dual hesitant;
distance;
hesitant fuzzy;
fuzzy sets ... See more keywords
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Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-017-0348-4
Abstract: Edges of the image play an important role in the field of digital image processing and computer vision. The edges reduce the amount of data, extract useful information from the image and preserve significant structural…
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Keywords:
divergence entropy;
detection;
intuitionistic fuzzy;
edge detection ... See more keywords
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Published in 2017 at "Physical Review E"
DOI: 10.1103/physreve.95.062114
Abstract: Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse fields. However, the practical application of entropy methods is challenging, due to the variety of entropy measures and estimators and the…
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Keywords:
measures entropy;
entropy;
long range;
entropy methods ... See more keywords
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Published in 2021 at "Engineering Computations"
DOI: 10.1108/ec-11-2020-0654
Abstract: PurposeThis paper proposes a fuzzy random multi-objective portfolio model with different entropy measures and designs a hybrid algorithm to solve the proposed model.Design/methodology/approachBecause random uncertainty and fuzzy uncertainty are often combined in a real-world setting,…
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Keywords:
fuzzy random;
different entropy;
portfolio;
model ... See more keywords
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Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12030332
Abstract: To test the ability of different entropy measures to classify patients with different conditions of chronic disorder of consciousness, we applied the Lempel–Ziv complexity, the amplitude coalition entropy (ACE), and the synchrony coalition entropy (SCE)…
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Keywords:
entropy metrics;
correlating higher;
higher residual;
entropy ... See more keywords
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Published in 2017 at "Entropy"
DOI: 10.3390/e19050204
Abstract: Asymptotic behavior of qualitative variation statistics, including entropy measures, can be modeled well by normal distributions. In this study, we test the normality of various qualitative variation measures in general. We find that almost all…
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Keywords:
qualitative variation;
case maximum;
entropy measures;
variation ... See more keywords
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Published in 2017 at "Entropy"
DOI: 10.3390/e19110598
Abstract: In the diagnosis of neurological diseases and assessment of brain function, entropy measures for quantifying electroencephalogram (EEG) signals are attracting ever-increasing attention worldwide. However, some entropy measures, such as approximate entropy (ApEn), sample entropy (SpEn),…
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Keywords:
computation entropy;
computation;
entropy;
eeg signals ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24101348
Abstract: Psychogenic non-epileptic seizures (PNES) may resemble epileptic seizures but are not caused by epileptic activity. However, the analysis of electroencephalogram (EEG) signals with entropy algorithms could help identify patterns that differentiate PNES and epilepsy. Furthermore,…
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Keywords:
diagnosis;
epileptic seizures;
psychogenic non;
entropy measures ... See more keywords