{"id":"https://openalex.org/W3060238075","doi":"https://doi.org/10.1109/iske47853.2019.9170348","title":"Label Quality Improvement in Crowdsourcing with Ensemble TSK Fuzzy Classifier","display_name":"Label Quality Improvement in Crowdsourcing with Ensemble TSK Fuzzy Classifier","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3060238075","doi":"https://doi.org/10.1109/iske47853.2019.9170348","mag":"3060238075"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021456147","display_name":"Xiongtao Zhang","orcid":"https://orcid.org/0000-0001-7873-3456"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongtao Zhang","raw_affiliation_strings":["Jiangnan University,School of Digital Media,Wuxi,China","School of Digital Media, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Digital Media,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071979594","display_name":"Xingguang Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguang Pan","raw_affiliation_strings":["Jiangnan University,School of Digital Media,Wuxi,China","School of Digital Media, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Digital Media,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003183751","display_name":"Shitong Wang","orcid":"https://orcid.org/0000-0002-8393-6554"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitong Wang","raw_affiliation_strings":["Jiangnan University,School of Digital Media,Wuxi,China","School of Digital Media, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University,School of Digital Media,Wuxi,China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"School of Digital Media, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9975000023841858,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9975000023841858,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9932000041007996,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/crowdsourcing","display_name":"Crowdsourcing","score":0.7889754772186279},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7619057893753052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185454368591309},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6569899320602417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6568880677223206},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5848506093025208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5677264332771301},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5672817230224609},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5215159058570862},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5048273205757141},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44785457849502563},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.4477350115776062}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7889754772186279},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7619057893753052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185454368591309},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6569899320602417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6568880677223206},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5848506093025208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5677264332771301},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5672817230224609},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5215159058570862},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5048273205757141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44785457849502563},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.4477350115776062},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6499999761581421,"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/W1479807131","https://openalex.org/W1480435687","https://openalex.org/W1569189826","https://openalex.org/W1572582498","https://openalex.org/W1999996424","https://openalex.org/W2019207321","https://openalex.org/W2031253096","https://openalex.org/W2066793765","https://openalex.org/W2079325629","https://openalex.org/W2079582100","https://openalex.org/W2082425819","https://openalex.org/W2095955281","https://openalex.org/W2098370488","https://openalex.org/W2113707983","https://openalex.org/W2128539603","https://openalex.org/W2142518823","https://openalex.org/W2145178044","https://openalex.org/W2149273804","https://openalex.org/W2156383341","https://openalex.org/W2156909104","https://openalex.org/W2167460663","https://openalex.org/W2169008348","https://openalex.org/W2170645625","https://openalex.org/W2344022952","https://openalex.org/W2394968026","https://openalex.org/W2589992324","https://openalex.org/W2782992108","https://openalex.org/W2942289397","https://openalex.org/W4211007335","https://openalex.org/W4249642050","https://openalex.org/W6631897979","https://openalex.org/W6677302185","https://openalex.org/W6680957539","https://openalex.org/W6682171051","https://openalex.org/W6711814783"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2888392564","https://openalex.org/W2337920774","https://openalex.org/W2948972913","https://openalex.org/W2770533869","https://openalex.org/W2165396616"],"abstract_inverted_index":{"At":[0],"present,":[1],"crowdsourcing,":[2],"as":[3],"a":[4,46],"distributed":[5],"solution,":[6],"provides":[7],"an":[8,67,131],"effective":[9],"and":[10,25,27,41,81,99,152,178,201],"cheap":[11],"solution":[12],"for":[13],"solving":[14],"large":[15],"tasks.":[16],"However,":[17],"due":[18],"to":[19,106,155],"the":[20,28,32,94,100,104,112,118,125,142,148,157,168,187],"difference":[21],"of":[22,30,35,88,96,127,190],"workers'":[23],"knowledge":[24],"skill,":[26],"existence":[29,95],"fraudsters,":[31],"labels":[33],"quality":[34,49,189],"crowdsourcing":[36,191],"can't":[37],"be":[38],"effectively":[39,185],"controlled":[40],"guaranteed.":[42],"This":[43],"paper":[44],"proposes":[45],"novel":[47],"label":[48,78,97,161,188,195],"improvement":[50],"method":[51,183],"based":[52,166],"on":[53,147,167,174],"ensemble":[54,199],"TSK":[55,70,203],"fuzzy":[56,71,90,101,204],"classifier":[57,72],"with":[58,108,124,193],"high":[59],"interpretability,":[60],"i.e.,":[61],"EW-TSK-CS.":[62],"Each":[63],"subclassifier":[64,102,113,129],"TSKnoise-FC":[65],"is":[66,74,82,138,165],"improved":[68],"zero-order":[69],"which":[73],"trained":[75],"by":[76,116,140],"noisy":[77],"training":[79],"data":[80,122,137,151],"more":[83],"robust.":[84],"The":[85,134,160,171],"objective":[86],"function":[87],"each":[89,128],"sub-classifier":[91],"has":[92,103],"considered":[93],"noise,":[98],"ability":[105],"deal":[107],"uncertain":[109],"data.":[110,159,170],"All":[111],"integrated":[114],"together":[115],"augmenting":[117],"original":[119],"noisy-free":[120],"validation":[121,136,150],"space":[123],"output":[126],"in":[130],"incremental":[132],"way.":[133],"augmented":[135,149],"conducted":[139],"running":[141],"classical":[143,202],"FCM":[144],"clustering":[145],"methods":[146],"using":[153],"KNN":[154],"obtain":[156],"dictionary":[158,169],"noise":[162,196],"correction":[163],"mechanism":[164],"experimental":[172],"results":[173],"datasets":[175],"Adult,":[176],"chess":[177],"waveform3":[179],"show":[180],"that":[181],"this":[182],"can":[184],"improve":[186],"compared":[192],"tradition":[194],"robustness":[197],"methods,":[198,200],"classifiers.":[205]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
