Results 21 to 30 of about 164,476 (314)
Interpolated scales of approximation spaces for regular elliptic operators on compact manifolds
Karpatsʹkì Matematičnì Publìkacìï, 2014 We define the interpolated scales of approximation spaces, generated by regular elliptic operators on compact manifolds. The appropriate Bernstein-Jackson inequalities and application to spectral approximations of regular elliptic operators are ...
M.I. Dmytryshyn
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The Chebyshev Set Problem in Riesz Space
Journal of Function Spaces, 2022 In this paper, we mainly study the best approximation theory in Riesz space, which is not constructed by the norm, but only rely on the order structure.
Shengwei Wu +4 more
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Generalization of Pawlak’s Approximations in Hypermodules by Set-Valued Homomorphisms
Foundations of Computing and Decision Sciences, 2017 The initiation and majority on rough sets for algebraic hyperstructures such as hypermodules over a hyperring have been concentrated on a congruence relation.
Mirvakili Saeed +2 more
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International Journal of Approximate Reasoning, 2019 In this paper, we discuss the relationship between different types of reduction and set definability. We recall the definition of a decision reduct, a γ-decision reduct, a decision bireduct and a γ-decision bireduct in a Pawlak approximation space and ...
Lynn D'eer, C. Cornelis
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Global universal approximation of functional input maps on weighted spaces [PDF]
Constructive approximation, 2023 We introduce so-called functional input neural networks defined on a possibly infinite dimensional weighted space with values also in a possibly infinite dimensional output space.
Christa Cuchiero +2 more
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Soft covering based rough graphs and corresponding decision making
Open Mathematics, 2019 Soft set theory and rough set theory are two new tools to discuss uncertainty. Graph theory is a nice way to depict certain information. Particularly soft graphs serve the purpose beautifully.
Park Choonkil +5 more
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Topological Structures of IVF Approximation Spaces
Fuzzy Information and Engineering, 2016 An approximation space is a key concept in rough set theory, which plays an important role to approximate reasoning about data. An interval-valued fuzzy (IVF, for short) approximation space is an approximation space in the IVF environment. In this paper,
Gang-Qiang Zhang
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Approximation of Rough Soft Set and Its Application to Lattice
Fuzzy Information and Engineering, 2015 The approximation of soft set is presented in modified soft rough (MSR) approximation space in this paper, i.e., approximation of an information system with respect to another information one.
Sankar Kumar Roy, Susanta Bera
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A New Single-Valued Neutrosophic Rough Sets and Related Topology
Journal of Mathematics, 2021 (Fuzzy) rough sets are closely related to (fuzzy) topologies. Neutrosophic rough sets and neutrosophic topologies are extensions of (fuzzy) rough sets and (fuzzy) topologies, respectively. In this paper, a new type of neutrosophic rough sets is presented,
Qiu Jin +3 more
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Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
Mathematics, 2023 In this paper, we consider stochastic mixed vector variational inequality problems. Firstly, we present an equivalent form for the stochastic mixed vector variational inequality problems.
Meiju Luo, Menghan Du, Yue Zhang
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