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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v8i1.5937</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Attribute Reduction of Neighborhood Rough Set Based on Discernment</title><url>https://artdesignp.com/journal/JERA/8/1/10.26689/jera.v8i1.5937</url><author>WangBiqing</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>1</issue><history><date date-type="pub"><published-time>2024-01-23</published-time></date></history><abstract>For neighborhood rough set attribute reduction algorithms based on dependency degree, a neighborhood computation method incorporating attribute weight values and a neighborhood rough set attribute reduction algorithm using discernment as the heuristic information was proposed. The reduction algorithm comprehensively considers the dependency degree and neighborhood granulation degree of attributes, allowing for a more accurate measurement of the importance degrees of attributes. Example analyses and experimental results demonstrate the feasibility and effectiveness of the algorithm.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Pawlak Z, 1982, Rough sets. International Journal of Computer &amp; Information Science, 11: 341–356. https://doi.org/10.1007/BF01001956</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Deng Z-X, Zheng Z-L, Deng D-Y, 2021, F-Neighborhood Rough Sets and Its Reduction. 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