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Neighborhood based decision-theoretic rough set models
International Journal of Approximate Reasoning, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Weiwei +3 more
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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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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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Neighborhood Rough Fuzzy Penetration Control Method with Variable Precision Based on GMAW
Applied Sciences, 2023 Considering the nonlinear, time-varying, and multivariate coupling nature of the welding process, achieving excellent control of the welding process can be challenging.
Xiaohong Xiang +7 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, 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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Information, 2019 Relative reduction of multiple neighborhood-covering with multigranulation rough set has been one of the hot research topics in knowledge reduction theory.
Xiaoying You, Jinjin Li, Hongkun Wang
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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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