{"id":"https://openalex.org/W4408166059","doi":"https://doi.org/10.1109/tfuzz.2025.3543893","title":"A Biselection Method Based on Consistent Matrix for Large-Scale Datasets","display_name":"A Biselection Method Based on Consistent Matrix for Large-Scale Datasets","publication_year":2025,"publication_date":"2025-03-05","ids":{"openalex":"https://openalex.org/W4408166059","doi":"https://doi.org/10.1109/tfuzz.2025.3543893"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2025.3543893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3543893","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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":null,"display_name":"Jinsheng Quan","orcid":"https://orcid.org/0009-0004-0889-5328"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsheng Quan","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing and Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0004-0889-5328","affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing and Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079637874","display_name":"Fengcai Qiao","orcid":"https://orcid.org/0000-0003-2947-3074"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengcai Qiao","raw_affiliation_strings":["College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102739968","display_name":"Tian Yang","orcid":"https://orcid.org/0000-0003-2960-525X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Yang","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing and Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2960-525X","affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing and Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037690190","display_name":"Shuo Shen","orcid":"https://orcid.org/0009-0007-0986-6184"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shen","raw_affiliation_strings":["Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing and Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing and Institute of Interdisciplinary Studies, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003563112","display_name":"Yuhua Qian","orcid":"https://orcid.org/0000-0001-6772-4247"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Qian","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6772-4247","affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.98,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96298815,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"33","issue":"6","first_page":"1992","last_page":"2005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8547000288963318,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8547000288963318,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.804099977016449,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.6770646572113037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6323732733726501},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6276084780693054},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4793561100959778},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4079510271549225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38036102056503296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35563570261001587},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08302649855613708}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6770646572113037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6323732733726501},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6276084780693054},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4793561100959778},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4079510271549225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38036102056503296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35563570261001587},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08302649855613708},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3543893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3543893","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2499956263","display_name":null,"funder_award_id":"2021JJ20037","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3119714933","display_name":null,"funder_award_id":"kq1905031","funder_id":"https://openalex.org/F4320336634","funder_display_name":"Training Program for Excellent Young Innovators of Changsha"},{"id":"https://openalex.org/G4062959235","display_name":null,"funder_award_id":"62102428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4147937172","display_name":null,"funder_award_id":"11201490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7249805090","display_name":null,"funder_award_id":"62376093","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320336634","display_name":"Training Program for Excellent Young Innovators of Changsha","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W226699106","https://openalex.org/W1553701556","https://openalex.org/W1586702941","https://openalex.org/W1992238855","https://openalex.org/W1994410331","https://openalex.org/W1995875735","https://openalex.org/W1997362234","https://openalex.org/W2013378801","https://openalex.org/W2027654459","https://openalex.org/W2079680557","https://openalex.org/W2083508077","https://openalex.org/W2090694049","https://openalex.org/W2090738500","https://openalex.org/W2096393821","https://openalex.org/W2107686700","https://openalex.org/W2115412314","https://openalex.org/W2128771953","https://openalex.org/W2135596587","https://openalex.org/W2160759173","https://openalex.org/W2162364423","https://openalex.org/W2296719434","https://openalex.org/W2348410644","https://openalex.org/W2355690385","https://openalex.org/W2699869760","https://openalex.org/W2766239046","https://openalex.org/W2795686572","https://openalex.org/W2806839329","https://openalex.org/W2947081180","https://openalex.org/W2952471193","https://openalex.org/W2971083198","https://openalex.org/W2994713090","https://openalex.org/W3009809128","https://openalex.org/W3014431324","https://openalex.org/W3029713334","https://openalex.org/W3100852571","https://openalex.org/W3162755386","https://openalex.org/W3175368466","https://openalex.org/W3182985241","https://openalex.org/W3189365424","https://openalex.org/W4255833381","https://openalex.org/W4285061533","https://openalex.org/W4287887066","https://openalex.org/W4295788893","https://openalex.org/W4312478715","https://openalex.org/W4313123991","https://openalex.org/W4322727980","https://openalex.org/W4366083559","https://openalex.org/W4367721875","https://openalex.org/W4376478837","https://openalex.org/W4388878619","https://openalex.org/W4389664549","https://openalex.org/W4392969962","https://openalex.org/W4398226244","https://openalex.org/W4401628478","https://openalex.org/W4403863400","https://openalex.org/W4404516876"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489","https://openalex.org/W2371642785"],"abstract_inverted_index":{"Biselection":[0],"(feature":[1],"and":[2,8,50,67,82,88,122,139,159,180],"sample":[3,70,103],"selection)":[4],"enhances":[5],"the":[6,41,47,100],"efficiency":[7,49],"accuracy":[9,176],"of":[10,52,102,178],"machine":[11,34],"learning":[12],"models":[13],"when":[14],"handling":[15],"large-scale":[16,83],"data.":[17],"Fuzzy":[18],"rough":[19,58],"sets,":[20],"an":[21,174],"uncertainty":[22],"mathematical":[23],"model":[24],"known":[25],"for":[26,37],"its":[27],"excellent":[28],"interpretability,":[29],"are":[30],"widely":[31],"used":[32],"in":[33,80,184],"learning,":[35],"particularly":[36,79],"feature":[38,53,65,106],"selection.":[39,71,92,107],"While":[40],"consistent":[42],"matrix":[43],"has":[44],"significantly":[45],"improved":[46],"computational":[48,151],"scalability":[51],"selection,":[54],"like":[55],"most":[56],"fuzzy":[57,124],"set-based":[59],"methods,":[60],"it":[61],"focuses":[62],"only":[63],"on":[64],"selection":[66,104],"seldom":[68],"incorporates":[69],"This":[72],"feature-centric":[73],"approach":[74],"can":[75],"limit":[76],"classification":[77],"performance,":[78],"noisy":[81],"datasets":[84],"where":[85],"both":[86],"features":[87,141,158],"samples":[89,138],"require":[90],"judicious":[91],"To":[93],"overcome":[94],"these":[95],"limitations,":[96],"this":[97],"article":[98],"explores":[99],"integration":[101],"with":[105,149],"First,":[108],"we":[109],"introduce":[110],"a":[111,129,144,146,181],"<inline-formula":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[114],"notation=\"LaTeX\">$\\beta$</tex-math></inline-formula>-consistent":[115],"granulation":[116],"method":[117,172],"to":[118,135,155,166],"generate":[119],"more":[120],"accurate":[121],"concise":[123],"information":[125],"granules.":[126],"In":[127],"addition,":[128],"novel":[130],"membership":[131],"function":[132],"is":[133,153],"employed":[134],"distinguish":[136],"noise":[137],"irrelevant":[140],"simultaneously.":[142],"As":[143],"result,":[145],"biselection":[147],"algorithm":[148],"lower":[150],"complexity":[152],"proposed":[154,171],"select":[156],"high-quality":[157],"samples.":[160],"Numerical":[161],"experiments":[162],"demonstrate":[163],"that,":[164],"compared":[165],"eleven":[167],"representative":[168],"algorithms,":[169],"our":[170],"achieves":[173],"average":[175],"improvement":[177],"9.66%":[179],"933-fold":[182],"increase":[183],"efficiency.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}