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Annals of the University of Craiova Mathematics and Computer Science Series, 2023
In this paper, we define the notions of neutrosophic $ \mathfrak{Y} $-Ces\`aro summability of a sequence of order $ \alpha $, neutrosophic $ \mathfrak{Y} $-lacunary statistical convergence of order $ \alpha $, neutrosophic strongly $ \mathfrak{Y} $-lacunary statistical convergence of order $ \alpha $ and neutrosophic strongly $ \mathfrak{Y} $-Ces\`aro
Granados Carlos +2 more
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In this paper, we define the notions of neutrosophic $ \mathfrak{Y} $-Ces\`aro summability of a sequence of order $ \alpha $, neutrosophic $ \mathfrak{Y} $-lacunary statistical convergence of order $ \alpha $, neutrosophic strongly $ \mathfrak{Y} $-lacunary statistical convergence of order $ \alpha $ and neutrosophic strongly $ \mathfrak{Y} $-Ces\`aro
Granados Carlos +2 more
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2021
The importance of normal probability distribution can’t be denied in inferential statistics due to its wide applicability. In classical statistics, the parameters of the normal probability distribution are assumed to be certain and complete, but in real-life problems, these can be imprecise, vague, unclear, or indeterminate.
Rehan Ahmad Khan Sherwani +5 more
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The importance of normal probability distribution can’t be denied in inferential statistics due to its wide applicability. In classical statistics, the parameters of the normal probability distribution are assumed to be certain and complete, but in real-life problems, these can be imprecise, vague, unclear, or indeterminate.
Rehan Ahmad Khan Sherwani +5 more
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Multi-attribute data classification using Neutrosophic probability
2015 Annual IEEE India Conference (INDICON), 2015Fuzzy classification is very necessary because it has the ability to use interpretable rules. It has got control over the limitations of crisp rule based classification. This paper mainly deals with classification using fuzzy probability and Neutrosophic probability.
Kanika Bhutani +2 more
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Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU)
Neutrosophic Systems with ApplicationsThis paper introduces Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU), an extension of classical neutrosophic probability that incorporates the dimension of time. In classical neutrosophic probability, the degrees of truth, indeterminacy, and falsity are considered static.
Bhimraj Basumatary, Ashoke Kumar Brahma
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Journal of Intelligent & Fuzzy Systems, 2019
The probabilistic neutrosophic hesitant fuzzy numbers are considered to be effective tools for dealing with such decision problems when both subjective and objective uncertainties exist simultaneously. However, the existing methods for dealing with real-life decision-making in the context is based on the assumption that the relationships between all ...
Songtao Shao, Xiaohong Zhang 0001
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The probabilistic neutrosophic hesitant fuzzy numbers are considered to be effective tools for dealing with such decision problems when both subjective and objective uncertainties exist simultaneously. However, the existing methods for dealing with real-life decision-making in the context is based on the assumption that the relationships between all ...
Songtao Shao, Xiaohong Zhang 0001
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In this research work, a new neutrosophic probability model named a neutrosophic Topp-Leone exponentiated generalized exponential distribution is proposed to model the normalized difference vegetation index (NDVI) of Pakistan in the year 2022. The MODIS was used in this research, which gave spatial and spectral information on NDVI in the Earth.
Shan E. Fatima, Hina Khan, Kanwal Javaid
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Shan E. Fatima, Hina Khan, Kanwal Javaid
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Neutrosophic fusion of rough set theory: An overview
Computers in Industry, 2020Chao Zhang +2 more
exaly
Multivalued neutrosophic fractals and Hutchinson-Barnsley operator in neutrosophic metric space
Chaos, Solitons and Fractals, 2023Naeem Saleem, Umar Ishtiaq
exaly
Second-order neutrosophic boundary-value problem
Complex & Intelligent Systems, 2021Sandip Moi, Suvankar Biswas
exaly
Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers
Symmetry, 2017Shigui Du, Jun Ye, Rui Yong
exaly