Results 31 to 40 of about 173,381 (281)
IEEE Access, 2020 Neighborhood rough model is widely used in feature selection with high dimension, fuzzy, continuous and discrete attributes, incomplete data and so on, and the application of neighborhood rough model depends on neighborhood threshold.
Yanan Hu +4 more
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An Ensemble Classification Method for High-Dimensional Data Using Neighborhood Rough Set
Complexity, 2021 Mining useful knowledge from high-dimensional data is a hot research topic. Efficient and effective sample classification and feature selection are challenging tasks due to high dimensionality and small sample size of microarray data.
Jing Zhang +3 more
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A Neighborhood Rough Classification with Dempster-Shafer Evidence Theory
Nantong Daxue xuebao. Ziran kexue ban, 2021 In order to further improve the classification mechanism and the performance of neighborhood classifier, a Dempster-Shafer(D-S) evidence-driven neighborhood rough classification method is proposed.
JU Hengrong; DING Weiping; YIN Tao; FAN Zhe; LIU Jiubing
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Complex & Intelligent Systems, 2023 Fuzzy rough set models are useful tools for dealing with fuzzy and real-valued data. They have been used in many real-world applications. In this paper, we investigate the fuzzy rough set model based on triangular norms and fuzzy implications.
Zhaohao Wang
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Multi-Label Attribute Reduction Based on Variable Precision Fuzzy Neighborhood Rough Set
IEEE Access, 2020 Multi-label attribute reduction as a common dimensionality reduction technique has obtained widely research in recent years. Most existing multi-label attribute reduction methods adopt discretization to deal with mixed data and have strict requirements ...
Panpan Chen, Menglei Lin, Jinghua Liu
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Fracture and Structural Integrity, 2023 S-N curve fatigue samples of titanium alloy welded joints have such a comparatively significant scatter, that results in the issue that the fatigue life prediction accuracy is not optimal.
Yangjinyu Li, Li Zou, Zhengjie Zhu
doaj
Neutrosophic Soft Rough Topology and its Applications to Multi-Criteria Decision-Making [PDF]
Neutrosophic Sets and Systems, 2020 In this manuscript, we introduce the notion of neutrosophic soft rough topology (NSRtopology) defined on neutrosophic soft rough set (NSR-set).
Muhammad Riaz +4 more
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The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey [PDF]
, 2017 Detection of non-technical losses (NTL) which include electricity theft, faulty meters or billing errors has attracted increasing attention from researchers in electrical engineering and computer science. NTLs cause significant harm to the economy, as in
Bettinger, Franck +4 more
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A fuzzy rough copula Bayesian network model for solving complex hospital service quality assessment
Complex & Intelligent Systems, 2023 Healthcare tends to be one of the most complicated sectors, and hospitals exist at the core of healthcare activities. One of the most significant elements in hospitals is service quality level.
He Li +6 more
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Generalized Ideals and Co-Granular Rough Sets
, 2017 Lattice-theoretic ideals have been used to define and generate non granular rough approximations over general approximation spaces over the last few years by few authors.
Mani, A
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