{"id":"https://openalex.org/W938113424","doi":"https://doi.org/10.1007/s10489-015-0687-5","title":"Representative-based classification through covering-based neighborhood rough sets","display_name":"Representative-based classification through covering-based neighborhood rough sets","publication_year":2015,"publication_date":"2015-06-23","ids":{"openalex":"https://openalex.org/W938113424","doi":"https://doi.org/10.1007/s10489-015-0687-5","mag":"938113424"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-015-0687-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-015-0687-5","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10281/93717","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054405269","display_name":"Ben-Wen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]},{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben-Wen Zhang","raw_affiliation_strings":["Department of Computer Science, Sichuan University for Nationalities, Kangding, 626001, China","School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sichuan University for Nationalities, Kangding, 626001, China","institution_ids":["https://openalex.org/I6645349","https://openalex.org/I24185976"]},{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740354","display_name":"Fan Min","orcid":"https://orcid.org/0000-0002-3290-1036"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Min","raw_affiliation_strings":["School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075449623","display_name":"Davide Ciucci","orcid":"https://orcid.org/0000-0002-8083-7809"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Ciucci","raw_affiliation_strings":["DISCo, University of Milano-Bicocca, viale Sarca 336/14, 20126, Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DISCo, University of Milano-Bicocca, viale Sarca 336/14, 20126, Milano, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100740354"],"corresponding_institution_ids":["https://openalex.org/I165745306"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":5.2937,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95828839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"4","first_page":"840","last_page":"854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9275000095367432,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9153000116348267,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.76047682762146},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7304962873458862},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6149313449859619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5585247278213501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339376330375671},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5009636878967285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4950689375400543},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4165952205657959},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07983902096748352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76047682762146},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7304962873458862},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6149313449859619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5585247278213501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339376330375671},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5009636878967285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4950689375400543},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4165952205657959},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07983902096748352}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-015-0687-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-015-0687-5","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:boa.unimib.it:10281/93717","is_oa":true,"landing_page_url":"http://hdl.handle.net/10281/93717","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:boa.unimib.it:10281/93717","is_oa":true,"landing_page_url":"http://hdl.handle.net/10281/93717","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1904872545","display_name":null,"funder_award_id":"61379089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3588359748","display_name":null,"funder_award_id":"13ZA0136","funder_id":"https://openalex.org/F4320322970","funder_display_name":"Education Department of Sichuan Province"},{"id":"https://openalex.org/G7908117107","display_name":null,"funder_award_id":"61379049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322970","display_name":"Education Department of Sichuan Province","ror":"https://ror.org/05s1c4z27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W87640108","https://openalex.org/W826447286","https://openalex.org/W1517636450","https://openalex.org/W1562135275","https://openalex.org/W1573772481","https://openalex.org/W1576520375","https://openalex.org/W1597173708","https://openalex.org/W1599811620","https://openalex.org/W1673075472","https://openalex.org/W1719800456","https://openalex.org/W1860684177","https://openalex.org/W1882616152","https://openalex.org/W1908728294","https://openalex.org/W1966280301","https://openalex.org/W1979092190","https://openalex.org/W1991151501","https://openalex.org/W1995804085","https://openalex.org/W2007262119","https://openalex.org/W2024638676","https://openalex.org/W2033857698","https://openalex.org/W2034328688","https://openalex.org/W2036373663","https://openalex.org/W2041182276","https://openalex.org/W2041444348","https://openalex.org/W2041596646","https://openalex.org/W2044758434","https://openalex.org/W2047222698","https://openalex.org/W2052684427","https://openalex.org/W2055266411","https://openalex.org/W2055307975","https://openalex.org/W2060618957","https://openalex.org/W2062981686","https://openalex.org/W2070902649","https://openalex.org/W2082266564","https://openalex.org/W2084812512","https://openalex.org/W2097287674","https://openalex.org/W2097923398","https://openalex.org/W2121772728","https://openalex.org/W2122937613","https://openalex.org/W2129678216","https://openalex.org/W2137983211","https://openalex.org/W2140982545","https://openalex.org/W2143040521","https://openalex.org/W2149706766","https://openalex.org/W2156060469","https://openalex.org/W2158633287","https://openalex.org/W2163370485","https://openalex.org/W2163598528","https://openalex.org/W2164759297","https://openalex.org/W2166982704","https://openalex.org/W2475542635","https://openalex.org/W2500160833","https://openalex.org/W2784007560","https://openalex.org/W2912707296","https://openalex.org/W3026422700","https://openalex.org/W3146803896","https://openalex.org/W4230741605","https://openalex.org/W4241649586","https://openalex.org/W4246198815","https://openalex.org/W4249279051","https://openalex.org/W4295063750"],"related_works":["https://openalex.org/W2369031945","https://openalex.org/W1985015628","https://openalex.org/W2204496524","https://openalex.org/W2388587252","https://openalex.org/W2354040054","https://openalex.org/W2350442377","https://openalex.org/W1970534408","https://openalex.org/W2367694281","https://openalex.org/W2981877337","https://openalex.org/W2381005486"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}