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"We find that…" changing patterns of epistemic positioning in research writing. [PDF]

Front Psychol
Yang Y, Guo X.
europepmc   +1 more source

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Best approximation in quotient probabilistic normed space

Journal of Applied Analysis, 2017
AbstractIn this article, we study the best approximation in quotient probabilistic normed space. We define the notion of quotient space of a probabilistic normed space, then prove some theorems of approximation in quotient space are extended to quotient probabilistic normed space.
M. Sen, Soumitra Nath, B. Tripathy
semanticscholar   +2 more sources

Strong Γ-Statistical Convergence in Probabilistic Normed Spaces

Acta Mathematica Vietnamica, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
C. Şençimen, S. Pehlivan
semanticscholar   +4 more sources

Probabilistic normed Riesz spaces

Acta Mathematica Sinica, English Series, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
ŞENÇİMEN, CELALEDDİN, PEHLİVAN, Serpil   +1 more
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Multiple sequences in probabilistic normed spaces

Afrika Matematika, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tripathy, Binod Chandra, Goswami, Rupanjali   +1 more
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On the Uniqueness of p-Best Approximation in Probabilistic Normed Spaces

International journal of nonlinear sciences and numerical simulation, 2018
The main aim of this paper is to present some basic as well as essential results involving the notion of p-Chebyshev sets in probabilistic normed spaces.
H. Goudarzi
semanticscholar   +1 more source

Convex sets in probabilistic normed spaces

Chaos, Solitons & Fractals, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aghajani, Asadollah, Nourouzi, Kourosh
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Best approximation on probabilistic normed spaces

Chaos, Solitons & Fractals, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shams, M., Vaezpour, S. M.
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Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces

arXiv.org
Existing approaches remain largely constrained by traditional distance metrics, limiting their effectiveness in handling random data. In this work, we introduce the first k-means variant in the literature that operates within a probabilistic metric space,
A. L. Hemdanou, Youssef Achtoun, M. L. Sefian, I. Tahiri, A. E. Afia   +4 more
semanticscholar   +1 more source

Bounded Linear Transformations Between Probabilistic Normed Vector Spaces

Fuzzy Sets and Systems, 1993
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Amer, Mustafa A., Morsi, Nehad N.
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