Results 11 to 20 of about 117,187 (270)
NMGRS: Neighborhood-based multigranulation rough sets
International Journal of Approximate Reasoning, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin, Guoping, Qian, Yuhua, Li, Jinjin
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Feature Subset Selection Based on Variable Precision Neighborhood Rough Sets
International Journal of Computational Intelligence Systems, 2021 Rough sets have been widely used in the fields of machine learning and feature selection. However, the classical rough sets have the problems of difficultly dealing with real-value data and weakly fault tolerance.
Yingyue Chen, Yumin Chen
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On Covering-Based Rough Intuitionistic Fuzzy Sets
Mathematics, 2022 Intuitionistic Fuzzy Sets (IFSs) and rough sets depending on covering are important theories for dealing with uncertainty and inexact problems. We think the neighborhood of an element is more realistic than any cluster in the processes of classification ...
R. Mareay +3 more
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Journal of Mathematics, 2021 Multigranulation rough set theory is an important tool to deal with the problem of multicriteria information system. The notion of fuzzy β-neighborhood has been used to construct some covering-based multigranulation fuzzy rough set (CMFRS) models through
Zaibin Chang, Lingling Mao
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Extending Whitney's extension theorem: nonlinear function spaces [PDF]
, 2020 We consider a global, nonlinear version of the Whitney extension problem for manifold-valued smooth functions on closed domains $C$, with non-smooth boundary, in possibly non-compact manifolds.
Roberts, David Michael +1 more
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Entropy, 2021 Feature selection is one of the core contents of rough set theory and application. Since the reduction ability and classification performance of many feature selection algorithms based on rough set theory and its extensions are not ideal, this paper ...
Jiucheng Xu +3 more
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Single-Valued Neutrosophic Covering-Based Rough Set Model Over Two Universes and Its Application in MCDM [PDF]
Neutrosophic Sets and Systems, 2023 This article aims to propose a new type of single-valued neutrosophic(SVN) covering-based rough sets over two universes by using Wang’s single-valued neutrosophic covering rough sets.
Somen Debnath
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Covering Fuzzy Rough Sets via Variable Precision
Journal of Mathematics, 2021 Lately, covering fuzzy rough sets via variable precision according to a fuzzy γ-neighborhood were established by Zhan et al. model. Also, Ma et al. gave the definition of complementary fuzzy γ-neighborhood with reflexivity.
Mohammed Atef, A. A. Azzam
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Attribute Reduction of Boolean Matrix in Neighborhood Rough Set Model
International Journal of Computational Intelligence Systems, 2020 Neighborhood rough set is a powerful tool to deal with continuous value information systems. Graphics processing unit (GPU) computing can efficiently accelerate the calculation of the attribute reduction and approximation sets based on matrix.
Yan Gao, Changwei Lv, Zhengjiang Wu
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Sensor data reduction with novel local neighborhood information granularity and rough set approach
Frontiers in Physics, 2023 Data description and data reduction are important issues in sensors data acquisition and rough sets based models can be applied in sensors data acquisition. Data description by rough set theory relies on information granularity, approximation methods and
Xiaoxue Fan +6 more
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