{"id":"https://openalex.org/W3202724793","doi":"https://doi.org/10.1109/tcyb.2021.3112203","title":"Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures","display_name":"Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures","publication_year":2021,"publication_date":"2021-10-07","ids":{"openalex":"https://openalex.org/W3202724793","doi":"https://doi.org/10.1109/tcyb.2021.3112203","mag":"3202724793"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3112203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3112203","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"],"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/A5100358463","display_name":"Jihong Wan","orcid":"https://orcid.org/0000-0002-9551-1844"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jihong Wan","raw_affiliation_strings":["School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358460","display_name":"Hongmei Chen","orcid":"https://orcid.org/0000-0002-7225-5577"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Chen","raw_affiliation_strings":["School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008041028","display_name":"Zhong Yuan","orcid":"https://orcid.org/0000-0002-7456-4445"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Yuan","raw_affiliation_strings":["School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409694","display_name":"Jia Liu","orcid":"https://orcid.org/0000-0002-2910-3447"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Liu","raw_affiliation_strings":["School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035520853","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0001-9031-107X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100358463"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":8.3288,"has_fulltext":false,"cited_by_count":88,"citation_normalized_percentile":{"value":0.98027875,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"53","issue":"2","first_page":"1208","last_page":"1221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9797000288963318,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7344667315483093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278985977172852},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.7091115713119507},{"id":"https://openalex.org/keywords/interactivity","display_name":"Interactivity","score":0.6936972737312317},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6120705604553223},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5980355143547058},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48251911997795105},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4772194027900696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47315487265586853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44513118267059326},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.42655181884765625}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7344667315483093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278985977172852},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.7091115713119507},{"id":"https://openalex.org/C144430266","wikidata":"https://www.wikidata.org/wiki/Q839721","display_name":"Interactivity","level":2,"score":0.6936972737312317},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6120705604553223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5980355143547058},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48251911997795105},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4772194027900696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47315487265586853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44513118267059326},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.42655181884765625},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcyb.2021.3112203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3112203","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1814726428","display_name":null,"funder_award_id":"62076171","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2964955785","display_name":null,"funder_award_id":"61876157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6502699054","display_name":null,"funder_award_id":"2019YJ0084","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"},{"id":"https://openalex.org/G7571624051","display_name":null,"funder_award_id":"61976182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7572955247","display_name":null,"funder_award_id":"61773324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G919435706","display_name":null,"funder_award_id":"61976245","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/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1575275310","https://openalex.org/W2003907251","https://openalex.org/W2027654459","https://openalex.org/W2072816950","https://openalex.org/W2082173396","https://openalex.org/W2111011053","https://openalex.org/W2128771953","https://openalex.org/W2154053567","https://openalex.org/W2156504490","https://openalex.org/W2162572977","https://openalex.org/W2171296290","https://openalex.org/W2181751816","https://openalex.org/W2292553612","https://openalex.org/W2511098035","https://openalex.org/W2568086521","https://openalex.org/W2586356223","https://openalex.org/W2598259734","https://openalex.org/W2743621318","https://openalex.org/W2766239046","https://openalex.org/W2767105247","https://openalex.org/W2782356391","https://openalex.org/W2785531387","https://openalex.org/W2806709681","https://openalex.org/W2810338221","https://openalex.org/W2887269903","https://openalex.org/W2901011786","https://openalex.org/W2907493491","https://openalex.org/W2907766640","https://openalex.org/W2944017292","https://openalex.org/W2977752818","https://openalex.org/W2982507320","https://openalex.org/W2992732987","https://openalex.org/W2994713090","https://openalex.org/W3007488608","https://openalex.org/W3009809128","https://openalex.org/W3013697446","https://openalex.org/W3020067472","https://openalex.org/W3020361001","https://openalex.org/W3025091732","https://openalex.org/W3049323006","https://openalex.org/W3081745991","https://openalex.org/W3118643612","https://openalex.org/W3136145627","https://openalex.org/W3151033386","https://openalex.org/W3164150245","https://openalex.org/W6682686508","https://openalex.org/W6685257450"],"related_works":["https://openalex.org/W2001821990","https://openalex.org/W2319020389","https://openalex.org/W2272707781","https://openalex.org/W2747851897","https://openalex.org/W1975913006","https://openalex.org/W1513662110","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W2018750854","https://openalex.org/W4390066334"],"abstract_inverted_index":{"Feature":[0],"selection":[1,75,132],"has":[2,23],"been":[3,24],"studied":[4],"by":[5,128],"many":[6],"researchers":[7],"using":[8,114],"information":[9],"theory":[10],"to":[11,18,26,55,62,93,96],"select":[12],"the":[13,27,40,56,97,120,129,137,143,151,159],"most":[14,38],"informative":[15],"features.":[16],"Up":[17],"now,":[19],"however,":[20],"little":[21],"attention":[22],"paid":[25],"interactivity":[28,123],"and":[29,33,48,51,72,107,111,124],"complementarity":[30,125],"between":[31],"features":[32,121],"their":[34],"relationships.":[35],"In":[36],"addition,":[37],"of":[39,59,154,161],"approaches":[41,139],"do":[42],"not":[43,53],"cope":[44],"well":[45],"with":[46,122,136],"fuzzy":[47,79,88,115],"uncertain":[49],"data":[50,98],"are":[52,91,109,126],"adaptable":[54],"distribution":[57],"characteristics":[58],"data.":[60],"Therefore,":[61],"make":[63],"up":[64],"for":[65],"these":[66],"two":[67],"deficiencies,":[68],"a":[69],"novel":[70],"interactive":[71],"complementary":[73],"feature":[74,101,155,162],"approach":[76],"based":[77],"on":[78,140],"multineighborhood":[80,89],"rough":[81],"set":[82],"model":[83],"(ICFS_FmNRS)":[84],"is":[85],"proposed.":[86],"First,":[87],"granules":[90],"constructed":[92],"better":[94],"adapt":[95],"distribution.":[99],"Second,":[100],"multicorrelations":[102],"(i.e.,":[103],"relevancy,":[104],"redundancy,":[105],"interactivity,":[106],"complementarity)":[108],"considered":[110],"defined":[112],"comprehensively":[113],"multigranularity":[116],"uncertainty":[117],"measures.":[118],"Next,":[119],"mined":[127],"forward":[130],"iterative":[131],"strategy.":[133],"Finally,":[134],"compared":[135],"benchmark":[138],"several":[141],"datasets,":[142],"experimental":[144],"results":[145],"show":[146],"that":[147],"ICFS_FmNRS":[148],"effectively":[149],"improves":[150],"classification":[152],"performance":[153],"subsets":[156],"while":[157],"reducing":[158],"dimension":[160],"space.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2021-10-11T00:00:00"}