Results 21 to 30 of about 5,614 (289)
Transformer graded fault diagnosis based on neighborhood rough set and XGBoost [PDF]
E3S Web of Conferences, 2021 Aiming at the uncertainty of fault type reasoning based on fault data in transformer fault diagnosis model, this paper proposed a hierarchical diagnosis model based on neighborhood rough set and XGBoost.
Guo RuYan +3 more
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Novel Graph Neighborhoods Emerging from Ideals
Mathematics, 2023 Rough set theory is a mathematical approach that deals with the problems of uncertainty and ambiguity in knowledge. Neighborhood systems are the most effective instruments for researching rough set theory in general.
Ayşegül Çaksu Güler +4 more
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Efficient Neighborhood Covering Model Based on Triangle Inequality Checkand Local Strategy [PDF]
Jisuanji kexue, 2022 Neighborhood covering model is widely used in classification tasks for its simple mechanism and ability to handle complex data.However,the neighborhood covering model has the problem of low efficiency and lack of related research work.To solve this ...
CHEN Yu-si, AI Zhi-hua, ZHANG Qing-hua
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Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson's disease behavioral analysis. [PDF]
Sci RepExtracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process.
Raza I +6 more
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Two Different Views for Generalized Rough Sets with Applications
Mathematics, 2021 Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the present paper, we suggest new sorts of rough set approximations using a multi-knowledge base; that is, a family of the finite number of general binary ...
Radwan Abu-Gdairi +3 more
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IEEE Access, 2020 Recently, the concept of a fuzzy $\alpha $ - neighborhood operator with reflexivity was established and a fuzzy rough set covering based on a fuzzy $\alpha $ - neighborhood operator was defined by Zhang et al. As a generalization of Zhang et al. models,
Jue Ma +4 more
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IEEE Access, 2022 Neighborhood rough set is an excellent mathematical tool to carry out feature selection on both numerical and categorical dataset. However, conventional feature selection algorithms usually use greedy heuristic search strategies, which is easy to trap in
Jindong Feng, Zengtai Gong
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Study on intelligent analysis algorithm for achieving standard of polymer flooding well group [PDF]
E3S Web of Conferences, 2022 In order to master the development effect of polymer flooding well group, it is necessary to accurately analyze the influence of different factors in the whole polymer flooding process on the development index.
Wang Hanqiang
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An Optimization of Master
IEEE Access, 2021 In this paper, a novel master S-N curve fitting method based on improved neighborhood rough set is proposed. The neighborhood relationship is used to granulate the fatigue information system of aluminum alloy welded joints, and the neighborhood rough set
Li Zou +3 more
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The Journal of Engineering, 2019 It is an important subject to mine valuable knowledge from complex and massive data in the era of big data. Rough set theory is a new mathematical tool for dealing with uncertain and inaccurate data, decision-theoretic rough set model (DTRS), as an ...
Jiajun Chen +3 more
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