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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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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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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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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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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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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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