{"id":"https://openalex.org/W2094381401","doi":"https://doi.org/10.1109/tcyb.2013.2263382","title":"A New Approach to Classifier Fusion Based on Upper Integral","display_name":"A New Approach to Classifier Fusion Based on Upper Integral","publication_year":2013,"publication_date":"2013-06-13","ids":{"openalex":"https://openalex.org/W2094381401","doi":"https://doi.org/10.1109/tcyb.2013.2263382","mag":"2094381401","pmid":"https://pubmed.ncbi.nlm.nih.gov/23782843"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2013.2263382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2263382","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/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi-Zhao Wang","raw_affiliation_strings":["Hebei University, Hebei, China","Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei University, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114377922","display_name":"Ran Wang","orcid":"https://orcid.org/0000-0002-2586-5604"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ran Wang","raw_affiliation_strings":["City University of Hong Kong, Kowloon, Hong Kong","Dept. of Computer Science, City University of Hong Kong, Kowloon, China"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Computer Science, City University of Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100897768","display_name":"Huimin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui-Min Feng","raw_affiliation_strings":["Hebei University, Hebei, China","Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China"],"affiliations":[{"raw_affiliation_string":"Hebei University, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Key Lab. of Machine Learning & Comput. Intell., Hebei Univ., Baoding, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004173001","display_name":"Wang Hua-chao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua-Chao Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China","Nat. Astron. Obs., Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Nat. Astron. Obs., Beijing, China#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073006299"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":7.6947,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97116668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"44","issue":"5","first_page":"620","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9957000017166138,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9957000017166138,"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":0.9833999872207642,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7788131237030029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6064137816429138},{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.5785479545593262},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5753666758537292},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5434277057647705},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5275794267654419},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5220292210578918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48301753401756287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4621487557888031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42652150988578796},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.393973708152771}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7788131237030029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6064137816429138},{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.5785479545593262},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5753666758537292},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5434277057647705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5275794267654419},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5220292210578918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48301753401756287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4621487557888031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42652150988578796},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.393973708152771},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"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.2013.2263382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2013.2263382","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:23782843","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23782843","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W143001888","https://openalex.org/W1481142035","https://openalex.org/W1485958089","https://openalex.org/W1548865516","https://openalex.org/W1565746575","https://openalex.org/W1833977909","https://openalex.org/W1870293938","https://openalex.org/W1969855798","https://openalex.org/W1971756873","https://openalex.org/W1974102697","https://openalex.org/W1988790447","https://openalex.org/W1992545095","https://openalex.org/W2004910683","https://openalex.org/W2008552241","https://openalex.org/W2010712778","https://openalex.org/W2015487637","https://openalex.org/W2033553286","https://openalex.org/W2036234778","https://openalex.org/W2038896048","https://openalex.org/W2041689956","https://openalex.org/W2047496789","https://openalex.org/W2054082488","https://openalex.org/W2055178087","https://openalex.org/W2055852977","https://openalex.org/W2059800482","https://openalex.org/W2062450215","https://openalex.org/W2088195363","https://openalex.org/W2098351657","https://openalex.org/W2101206561","https://openalex.org/W2115629999","https://openalex.org/W2120090580","https://openalex.org/W2125624718","https://openalex.org/W2127377873","https://openalex.org/W2132549764","https://openalex.org/W2135293965","https://openalex.org/W2137983211","https://openalex.org/W2138378624","https://openalex.org/W2143938723","https://openalex.org/W2157298562","https://openalex.org/W2159160074","https://openalex.org/W2160398503","https://openalex.org/W2167453047","https://openalex.org/W2168089917","https://openalex.org/W2403746960","https://openalex.org/W2912934387","https://openalex.org/W3043771091","https://openalex.org/W3146803896","https://openalex.org/W4212883601","https://openalex.org/W4252684946","https://openalex.org/W4301347335","https://openalex.org/W6605861239","https://openalex.org/W6633774736","https://openalex.org/W6639188631","https://openalex.org/W6780661845"],"related_works":["https://openalex.org/W4213046089","https://openalex.org/W2125652721","https://openalex.org/W1541916863","https://openalex.org/W1540371141","https://openalex.org/W2042690472","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2110605196","https://openalex.org/W2359864538","https://openalex.org/W2154063878"],"abstract_inverted_index":{"Fusing":[0],"a":[1,55,75,106,159],"number":[2],"of":[3,10,34,43,58,73,101,111,139,154,165,174],"classifiers":[4,46,116,132,140],"can":[5,18,193],"generally":[6],"improve":[7],"the":[8,14,21,24,40,44,69,78,86,93,137,162,166],"performance":[9],"individual":[11,25,45,115,131,176],"classifiers,":[12,26],"and":[13,47,89,117,133,136,191],"fuzzy":[15],"integral,":[16],"which":[17,65],"clearly":[19],"express":[20],"interaction":[22],"among":[23],"has":[27],"been":[28],"acknowledged":[29],"as":[30,189],"an":[31,98],"effective":[32],"tool":[33],"fusion.":[35],"In":[36],"order":[37],"to":[38,83,91,113,121,147],"make":[39],"best":[41],"use":[42],"their":[48,118,134,150],"combinations,":[49,135],"we":[50,104],"propose":[51],"in":[52],"this":[53],"paper":[54],"new":[56,124],"scheme":[57,107],"classifier":[59,168,177],"fusion":[60,76,186],"based":[61],"on":[62,149],"upper":[63,79,102,155,198],"integrals,":[64,103],"differs":[66],"from":[67],"all":[68],"existing":[70,185],"models.":[71],"Instead":[72],"being":[74],"operator,":[77],"integral":[80,156,199],"is":[81,169],"used":[82],"reasonably":[84],"arrange":[85],"finite":[87],"resources,":[88],"thus":[90],"maximize":[92],"classification":[94,163],"efficiency.":[95],"By":[96],"solving":[97],"optimization":[99],"problem":[100],"obtain":[105],"for":[108],"assigning":[109],"proportions":[110],"examples":[112,125,143],"different":[114,130],"combinations.":[119],"According":[120],"these":[122],"proportions,":[123],"could":[126],"be":[127,145,194],"classified":[128],"by":[129,196],"combination":[138],"that":[141,161,173,183],"specific":[142],"should":[144],"submitted":[146],"depends":[148],"performance.":[151],"The":[152],"definition":[153],"guarantees":[157],"such":[158,188],"conclusion":[160],"efficiency":[164],"fused":[167],"not":[170],"less":[171],"than":[172],"any":[175],"theoretically.":[178],"Furthermore,":[179],"numerical":[180],"simulations":[181],"demonstrate":[182],"most":[184],"methodologies,":[187],"bagging":[190],"boosting,":[192],"improved":[195],"our":[197],"model.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
