{"id":"https://openalex.org/W4395661536","doi":"https://doi.org/10.3233/jifs-240581","title":"Attribute selection for partially labeled data based on uncertainty measure","display_name":"Attribute selection for partially labeled data based on uncertainty measure","publication_year":2024,"publication_date":"2024-04-25","ids":{"openalex":"https://openalex.org/W4395661536","doi":"https://doi.org/10.3233/jifs-240581"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-240581","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-240581","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; 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":"https://openalex.org/A5011425498","display_name":"Lina Zheng","orcid":"https://orcid.org/0000-0002-8412-3344"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zheng","raw_affiliation_strings":["School of Economics, Guangxi University, Nanning, Guangxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Guangxi University, Nanning, Guangxi, P.R. China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055815893","display_name":"Yini Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I163732180","display_name":"Guangxi University of Finance and Economics","ror":"https://ror.org/02ayg6516","country_code":"CN","type":"education","lineage":["https://openalex.org/I163732180"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yini Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China","institution_ids":["https://openalex.org/I163732180"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023821914","display_name":"Sichun Wang","orcid":"https://orcid.org/0000-0002-7931-025X"},"institutions":[{"id":"https://openalex.org/I163732180","display_name":"Guangxi University of Finance and Economics","ror":"https://ror.org/02ayg6516","country_code":"CN","type":"education","lineage":["https://openalex.org/I163732180"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sichun Wang","raw_affiliation_strings":["Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Seaward Economic Intelligent System Analysis and Decision, Guangxi University of Finance and Economics, Nanning, Guangxi, P.R. China","institution_ids":["https://openalex.org/I163732180"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023821914","https://openalex.org/A5055815893"],"corresponding_institution_ids":["https://openalex.org/I163732180"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06863823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"3","first_page":"359","last_page":"376"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9879000186920166,"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/measure","display_name":"Measure (data warehouse)","score":0.7391637563705444},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5910383462905884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5184197425842285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41430792212486267},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33602267503738403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2759338319301605},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24707353115081787}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7391637563705444},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5910383462905884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5184197425842285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41430792212486267},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33602267503738403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2759338319301605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24707353115081787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-240581","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-240581","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7799999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1965147513","https://openalex.org/W1988881859","https://openalex.org/W1995875503","https://openalex.org/W1995875735","https://openalex.org/W2013378801","https://openalex.org/W2014127819","https://openalex.org/W2035567190","https://openalex.org/W2091536478","https://openalex.org/W2097498222","https://openalex.org/W2157317320","https://openalex.org/W2219120503","https://openalex.org/W2490706975","https://openalex.org/W2561208659","https://openalex.org/W2752796504","https://openalex.org/W2851233212","https://openalex.org/W2895848020","https://openalex.org/W2935517694","https://openalex.org/W2956917852","https://openalex.org/W2964261936","https://openalex.org/W2982507320","https://openalex.org/W3008857449","https://openalex.org/W3009809128","https://openalex.org/W3013493369","https://openalex.org/W3042146368","https://openalex.org/W3109271319","https://openalex.org/W3118643612","https://openalex.org/W3157827682","https://openalex.org/W3167274212","https://openalex.org/W3189365424","https://openalex.org/W3202620420","https://openalex.org/W3202852441","https://openalex.org/W3204670138","https://openalex.org/W4205619203","https://openalex.org/W4250209379","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4255837520","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W4395014643","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Due":[0],"to":[1,72,81,99,204,226],"the":[2,13,34,47,53,56,67,130,149,153,167,206,212,219,234,243,246],"relatively":[3],"high":[4],"cost":[5],"of":[6,12,36,50,55,70,132,140,156,160,171,179,208,245],"labeling":[7],"data,":[8],"only":[9],"a":[10,87,107,126],"fraction":[11],"available":[14],"data":[15,31,77,94,113,123,232],"is":[16,109,119,164,174,224,237],"typically":[17],"labeled":[18,30,76,93,112,231],"in":[19],"machine":[20],"learning.":[21],"Some":[22],"existing":[23],"research":[24],"handled":[25],"attribute":[26,38,82,141,227],"selection":[27,228],"for":[28,74,91,111,121,217,229],"partially":[29,75,92,230],"by":[32,145,166,176],"using":[33],"importance":[35,139,187],"an":[37],"subset":[39,142],"or":[40,52],"uncertainty":[41],"measure":[42],"(UM).":[43],"Nevertheless,":[44],"it":[45,80],"overlooked":[46],"missing":[48,68,133,154,169],"rate":[49,69,155],"labels":[51,71,134],"choice":[54],"UM":[57,73,220],"with":[58,221],"optimal":[59,222],"performance.":[60],"This":[61],"study":[62],"uses":[63],"discernibility":[64,127,150],"relation":[65,128,151],"and":[66,78,115,129,152,181,198,233],"applies":[79],"selection.":[83],"To":[84],"begin":[85],"with,":[86],"decision":[88,103],"information":[89,104],"system":[90],"(pl-DIS)":[95],"can":[96],"be":[97,189],"used":[98,225],"induce":[100],"two":[101,172],"equivalent":[102],"systems":[105],"(DISs):":[106],"DIS":[108,118],"constructed":[110,120],"(l-DIS),":[114],"separately,":[116],"another":[117],"unlabeled":[122],"(ul-DIS).":[124],"Subsequently,":[125],"percentage":[131],"are":[135,143,201],"introduced.":[136],"Afterwards,":[137],"four":[138,186,192,209],"identified":[144],"taking":[146],"into":[147],"account":[148],"labels.":[157],"The":[158,239],"sum":[159],"their":[161],"importance,":[162],"which":[163],"determined":[165],"label":[168],"rates":[170],"DISs,":[173],"calculated":[175],"weighting":[177],"each":[178],"them":[180,183],"adding":[182],"together.":[184],"These":[185],"may":[188],"seen":[190],"as":[191,214],"UMs.":[193,210],"In":[194,211],"addition,":[195],"numerical":[196],"simulations":[197],"statistical":[199],"analyses":[200],"carried":[202],"out":[203],"showcase":[205],"effectiveness":[207],"end,":[213],"its":[215],"application":[216],"UM,":[218],"performance":[223],"corresponding":[235],"algorithm":[236],"proposed.":[238],"experimental":[240],"outcomes":[241],"demonstrate":[242],"excellence":[244],"proposed":[247],"algorithm.":[248]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
