{"id":"https://openalex.org/W7136799608","doi":"https://doi.org/10.1109/tetci.2026.3671066","title":"Exclusive Lasso Assisted Two-Stage Fuzzy-Rough Feature Selection","display_name":"Exclusive Lasso Assisted Two-Stage Fuzzy-Rough Feature Selection","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7136799608","doi":"https://doi.org/10.1109/tetci.2026.3671066"},"language":null,"primary_location":{"id":"doi:10.1109/tetci.2026.3671066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3671066","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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":"https://openalex.org/A5047667818","display_name":"Yanpeng Qu","orcid":"https://orcid.org/0000-0002-2441-713X"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanpeng Qu","raw_affiliation_strings":["College of Artificial Intelligence, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-2441-713X","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101287250","display_name":"Yi Tan","orcid":"https://orcid.org/0009-0007-8302-4540"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi Tan","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074091330","display_name":"Lin Qiu","orcid":"https://orcid.org/0009-0000-2349-8065"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qiu","raw_affiliation_strings":["College of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0000-2349-8065","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065079117","display_name":"Longzhi Yang","orcid":"https://orcid.org/0000-0003-2115-4909"},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Longzhi Yang","raw_affiliation_strings":["Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2115-4909","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, U.K","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039652471","display_name":"Changjing Shang","orcid":"https://orcid.org/0000-0001-6375-6276"},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Changjing Shang","raw_affiliation_strings":["Department of Computer Science, Faculty of Business and Physical Sciences, Aberystwyth University, Aberystwyth, U.K"],"raw_orcid":"https://orcid.org/0000-0001-6375-6276","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Business and Physical Sciences, Aberystwyth University, Aberystwyth, U.K","institution_ids":["https://openalex.org/I16038530"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129612087","display_name":"Qiang Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I16038530","display_name":"Aberystwyth University","ror":"https://ror.org/015m2p889","country_code":"GB","type":"education","lineage":["https://openalex.org/I16038530"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qiang Shen","raw_affiliation_strings":["Department of Computer Science, Faculty of Business and Physical Sciences, Aberystwyth University, Aberystwyth, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9333-4605","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Business and Physical Sciences, Aberystwyth University, Aberystwyth, U.K","institution_ids":["https://openalex.org/I16038530"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33551472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"3","first_page":"2712","last_page":"2724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.5738000273704529,"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":0.5738000273704529,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.05869999900460243,"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/T11671","display_name":"Fuzzy and Soft Set Theory","score":0.05550000071525574,"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/feature-selection","display_name":"Feature selection","score":0.5989999771118164},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4961000084877014},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44429999589920044},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4172999858856201},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.35409998893737793}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5989999771118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5914000272750854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600000023841858},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4961000084877014},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2685999870300293},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2026.3671066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2026.3671066","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4423653483390808,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,94,171],"application":[1],"of":[2,38,44,149],"fuzzy-rough":[3,27,85,126],"sets":[4],"(FRS)":[5],"in":[6,91,195],"feature":[7,28,52,61,127,141,157],"selection":[8,29,128],"(FS)":[9],"has":[10],"employed":[11,131],"the":[12,17,36,42,122,133,138],"dependency":[13],"degree":[14],"to":[15,49,72,112,136,167],"guide":[16],"FS":[18,86],"process":[19],"with":[20,47],"much":[21],"success.":[22],"Whilst":[23],"promising,":[24],"most":[25],"existing":[26],"(FRFS)":[30],"approaches":[31],"are":[32],"only":[33],"conducted":[34],"at":[35,132],"level":[37,135],"individual":[39,45],"features,":[40],"considering":[41],"inclusion/exclusion":[43],"features":[46,67,98,117],"regard":[48],"a":[50,73,125,146,186],"candidate":[51],"subset.":[53,142],"This":[54],"can":[55],"overlook":[56],"important":[57],"information":[58],"about":[59],"inherent":[60],"structures,":[62],"such":[63],"as":[64],"correlations":[65],"between":[66],"or":[68,162],"their":[69],"collaborative":[70],"contributions":[71],"common":[74],"decision.":[75],"To":[76],"address":[77],"this":[78,92],"issue,":[79],"an":[80],"exclusive":[81,109],"lasso":[82,110],"assisted":[83],"two-stage":[84],"(EL-TSFRFS)":[87],"method":[88,173],"is":[89,130],"presented":[90],"paper.":[93],"approach":[95],"first":[96],"partitions":[97],"into":[99],"groups":[100],"using":[101],"<inline-formula":[102],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[103],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[104],"notation=\"LaTeX\">$K$</tex-math></inline-formula>-means":[105],"clustering,":[106],"then":[107],"applies":[108],"regularisation":[111],"select":[113],"and":[114,181,192],"rank":[115],"representative":[116],"within":[118],"each":[119],"group.":[120],"In":[121],"second":[123],"stage,":[124],"algorithm":[129],"group":[134],"determine":[137],"final":[139],"discriminative":[140],"Comprehensive":[143],"experiments":[144],"on":[145],"diverse":[147],"range":[148],"datasets":[150],"demonstrate":[151],"that":[152],"EL-TSFRFS":[153],"consistently":[154],"produces":[155],"smaller":[156],"subsets":[158],"while":[159],"achieving":[160],"superior":[161],"comparable":[163],"classification":[164],"accuracy":[165],"compared":[166],"state-of-the-art":[168],"FRFS":[169],"techniques.":[170],"proposed":[172],"also":[174],"exhibits":[175],"robust":[176],"performance":[177],"across":[178],"different":[179],"classifiers":[180],"parameter":[182],"settings,":[183],"making":[184],"it":[185],"promising":[187],"tool":[188],"for":[189],"dimensionality":[190],"reduction":[191],"knowledge":[193],"discovery":[194],"complex":[196],"data":[197],"analysis":[198],"tasks.":[199]},"counts_by_year":[],"updated_date":"2026-05-29T06:17:43.578629","created_date":"2026-03-17T00:00:00"}