Results 21 to 30 of about 4,720,579 (297)
On approximation in the Bers spaces [PDF]
Let D D be a Jordan domain in the complex plane with rectifiable boundary
openaire +1 more source
Generalization of Pawlak’s Approximations in Hypermodules by Set-Valued Homomorphisms
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
doaj +1 more source
The Chebyshev Set Problem in Riesz Space
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
doaj +1 more source
Soft covering based rough graphs and corresponding decision making
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
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
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
(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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Schwarz iterative methods: Infinite space splittings
S.121-139We prove the convergence of greedy and randomized versions of Schwarz iterative methods for solving linear elliptic variational problems based on infinite space splittings of a Hilbert space.
Oswald, P., Griebel, M.
core +1 more source
Deterministic Bi-Criteria Model for Solving Stochastic Mixed Vector Variational Inequality Problems
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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On Proximity Spaces Constructed on Rough Sets
Based on equivalence relation R on X, equivalence class [x] of a point and equivalence class [A] of a subset represent the neighborhoods of x and A, respectively.
Jong Il Baek +3 more
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