{"id":"https://openalex.org/W4404953194","doi":"https://doi.org/10.1109/tcyb.2024.3499952","title":"Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection","display_name":"Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4404953194","doi":"https://doi.org/10.1109/tcyb.2024.3499952","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030537"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2024.3499952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3499952","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5013460270","display_name":"Kehua Yuan","orcid":"https://orcid.org/0000-0002-3580-3669"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehua Yuan","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3580-3669","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024791074","display_name":"Duoqian Miao","orcid":"https://orcid.org/0000-0001-6588-1468"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duoqian Miao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6588-1468","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Faculty of Automatic Control, Electronics, and Computer Science, Silesian University of Technology, Gliwice, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Faculty of Automatic Control, Electronics, and Computer Science, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728134","display_name":"Hongyun Zhang","orcid":"https://orcid.org/0000-0001-9781-5078"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyun Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9781-5078","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101541061","display_name":"Liang Hu","orcid":"https://orcid.org/0000-0001-8588-2177"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Hu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.376,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.988144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"55","issue":"2","first_page":"740","last_page":"752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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":0.9998000264167786,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9661999940872192,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9106000065803528,"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/measure","display_name":"Measure (data warehouse)","score":0.7219114899635315},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6664556264877319},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5470999479293823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188773274421692},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5046991109848022},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41466158628463745},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37779149413108826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.307733952999115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27386564016342163}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7219114899635315},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6664556264877319},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5470999479293823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188773274421692},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5046991109848022},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41466158628463745},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37779149413108826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.307733952999115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27386564016342163},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2024.3499952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3499952","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:40030537","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030537","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5799824509","display_name":null,"funder_award_id":"62376198","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1992915331","https://openalex.org/W2071255876","https://openalex.org/W2158633287","https://openalex.org/W2170755382","https://openalex.org/W2511098035","https://openalex.org/W2887269903","https://openalex.org/W2944791122","https://openalex.org/W2997546679","https://openalex.org/W3020067472","https://openalex.org/W3033432801","https://openalex.org/W3123798230","https://openalex.org/W3132856058","https://openalex.org/W3189365424","https://openalex.org/W3202724793","https://openalex.org/W3214620214","https://openalex.org/W4206100958","https://openalex.org/W4210591467","https://openalex.org/W4220878503","https://openalex.org/W4226215596","https://openalex.org/W4289792606","https://openalex.org/W4293258846","https://openalex.org/W4307340076","https://openalex.org/W4312229684","https://openalex.org/W4313123991","https://openalex.org/W4322727980","https://openalex.org/W4360770901","https://openalex.org/W4365479314","https://openalex.org/W4367663454","https://openalex.org/W4381736291","https://openalex.org/W4385556680","https://openalex.org/W4387068273","https://openalex.org/W4387757542","https://openalex.org/W4387789988","https://openalex.org/W4388914624","https://openalex.org/W4390357743","https://openalex.org/W4390604729","https://openalex.org/W4391956346","https://openalex.org/W4392015669","https://openalex.org/W4392381103","https://openalex.org/W4392969962","https://openalex.org/W4394850764","https://openalex.org/W4394893796","https://openalex.org/W4396532349","https://openalex.org/W4396542567","https://openalex.org/W4399039632","https://openalex.org/W4400033057","https://openalex.org/W4401725147","https://openalex.org/W4402978091"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2333722679","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Multigranularity":[0],"data":[1,15,22,31,42,60,93],"analysis":[2,23,43,61,94],"has":[3,45],"recently":[4],"become":[5],"an":[6,25,120],"active":[7],"research":[8],"topic":[9],"in":[10],"the":[11,34,37,40,73,83,139,143,167],"intelligent":[12],"computing":[13],"and":[14,32,102,118,131,158,174],"mining":[16],"fields.":[17],"Feature":[18],"selection":[19],"via":[20],"multigranularity":[21,41,59,77,92,125,140],"is":[24,80,110,135],"effective":[26],"tool":[27],"for":[28,49,100,124],"characterizing":[29],"hierarchical":[30,74],"enhancing":[33],"accuracy":[35,148],"of":[36,76,85],"results.":[38],"Although":[39],"method":[44,169],"been":[46],"widely":[47],"adopted":[48],"feature":[50,104,161],"selection,":[51],"existing":[52],"studies":[53],"still":[54],"present":[55],"one":[56],"prevalent":[57],"disadvantage:":[58],"mostly":[62],"focuses":[63],"on":[64],"information":[65,126],"presented":[66],"at":[67],"a":[68,91,96,107,129],"single":[69],"granularity":[70,116],"while":[71],"ignoring":[72],"structure":[75],"data,":[78],"which":[79],"contrary":[81],"to":[82,113,160],"nature":[84],"multigranularity.":[86],"Hence,":[87],"this":[88],"article":[89],"proposes":[90],"with":[95],"zentropy":[97],"uncertainty":[98,133,150],"measure":[99,134],"efficient":[101,121],"robust":[103,132],"selection.":[105,162],"Specifically,":[106],"consistent":[108],"degree":[109],"first":[111],"introduced":[112],"obtain":[114],"optimal":[115],"combinations":[117],"establish":[119],"neighborhood":[122],"model":[123],"processing.":[127],"Then,":[128],"novel":[130],"developed":[136],"by":[137],"integrating":[138],"information,":[141],"namely":[142],"zentropy-based":[144],"measure.":[145],"Considering":[146],"its":[147],"among":[149],"measures,":[151],"two":[152],"important":[153],"measures":[154],"are":[155],"further":[156],"designed":[157],"applied":[159],"Extensive":[163],"experiments":[164],"demonstrate":[165],"that":[166],"proposed":[168],"can":[170],"achieve":[171],"better":[172],"robustness":[173],"classification":[175],"performance":[176],"than":[177],"other":[178],"state-of-the-art":[179],"methods.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":24}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}