{"id":"https://openalex.org/W2040066827","doi":"https://doi.org/10.1109/icmlc.2010.5581051","title":"Sample selection with rough set","display_name":"Sample selection with rough set","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2040066827","doi":"https://doi.org/10.1109/icmlc.2010.5581051","mag":"2040066827"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069347046","display_name":"Degang Chen","orcid":"https://orcid.org/0000-0002-1135-9807"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"De-Gang Chen","raw_affiliation_strings":["Department of Mathematics and Physics, North China Electric Power University, Beijing, China","Department of Mathematics and Physics, North China Electric Power University Beijing, 102206, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Physics, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Mathematics and Physics, North China Electric Power University Beijing, 102206, P.R. China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696673","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-8020-6142"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Department of Mathematics and Physics, North China Electric Power University, Beijing, China","Department of Mathematics and Physics, North China Electric Power University Beijing, 102206, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Physics, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Department of Mathematics and Physics, North China Electric Power University Beijing, 102206, P.R. China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101437928","display_name":"Eric C.C. Tsang","orcid":"https://orcid.org/0000-0002-3734-7273"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"E. C. C. Tsang","raw_affiliation_strings":["Faculty of Information Technology, Macau University of Science and Technology, Macao, China","Faculty of Information Technology; Macau University of Science and Technology; Macao"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Macau University of Science and Technology, Macao, China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"Faculty of Information Technology; Macau University of Science and Technology; Macao","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000920700","display_name":"Yongping Yang","orcid":"https://orcid.org/0000-0002-8468-8476"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Ping Yang","raw_affiliation_strings":["Beijing Key Laboratory of Safety and Clean Utilization of Energy, North China Electric Power University, Beijing, China","Beijing Key Laboratory of Safety and Clean Utilization of Energy, North China Electric Power University, Beijing, 102206, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Safety and Clean Utilization of Energy, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"Beijing Key Laboratory of Safety and Clean Utilization of Energy, North China Electric Power University, Beijing, 102206, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069347046"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11840985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"291","last_page":"295"},"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/T14262","display_name":"Extenics and Innovation Methods","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.944599986076355,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.9199666976928711},{"id":"https://openalex.org/keywords/decision-table","display_name":"Decision table","score":0.6535543203353882},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6481567025184631},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5971344709396362},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5791056752204895},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5763319134712219},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.575930655002594},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.565231204032898},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5391581058502197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39338958263397217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3618861138820648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33331435918807983},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33162665367126465}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.9199666976928711},{"id":"https://openalex.org/C172967692","wikidata":"https://www.wikidata.org/wiki/Q747762","display_name":"Decision table","level":3,"score":0.6535543203353882},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6481567025184631},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5971344709396362},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5791056752204895},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5763319134712219},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.575930655002594},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.565231204032898},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5391581058502197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39338958263397217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3618861138820648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33331435918807983},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33162665367126465},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5581051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1553701556","https://openalex.org/W1557923305","https://openalex.org/W1971790955","https://openalex.org/W2029307344","https://openalex.org/W2045260678","https://openalex.org/W2075340829","https://openalex.org/W4232953319","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W1968977907","https://openalex.org/W2383059137","https://openalex.org/W2472455248","https://openalex.org/W3013418296","https://openalex.org/W1762865978","https://openalex.org/W2379959492","https://openalex.org/W2142981909","https://openalex.org/W2354227702","https://openalex.org/W2380686565","https://openalex.org/W2355835716"],"abstract_inverted_index":{"In":[0],"this":[1,85],"paper":[2,86],"sample":[3,75,92],"selection":[4,93],"with":[5,94],"rough":[6,95],"set":[7,60],"is":[8,42,61,82],"proposed":[9],"in":[10,26,84],"order":[11],"to":[12,32,87],"compress":[13],"the":[14,27,68,74],"discernibility":[15,28,37,54],"matrix":[16,29],"of":[17,39,91],"a":[18],"decision":[19],"table":[20],"so":[21],"that":[22],"only":[23],"minimal":[24],"elements":[25],"are":[30,49],"employed":[31,83],"find":[33],"reducts.":[34],"First":[35],"relative":[36,53],"relation":[38],"conditional":[40,47,65],"attribute":[41],"defined,":[43],"indispensable":[44],"and":[45,56],"dispensable":[46],"attributes":[48],"characterized":[50],"by":[51],"their":[52],"relations":[55],"key":[57,69],"object":[58,70],"pair":[59,71],"defined":[62],"for":[63],"every":[64],"attribute.":[66],"With":[67],"sets":[72],"all":[73],"selections":[76],"can":[77],"be":[78],"found.":[79],"An":[80],"example":[81],"illustrate":[88],"our":[89],"idea":[90],"set.":[96]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}