{"id":"https://openalex.org/W4415820561","doi":"https://doi.org/10.1109/tfuzz.2025.3628591","title":"Consensus Fuzzy Representation Learning","display_name":"Consensus Fuzzy Representation Learning","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4415820561","doi":"https://doi.org/10.1109/tfuzz.2025.3628591"},"language":null,"primary_location":{"id":"doi:10.1109/tfuzz.2025.3628591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3628591","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 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/A5063064892","display_name":"Chuanbin Zhang","orcid":"https://orcid.org/0000-0003-4950-7075"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanbin Zhang","raw_affiliation_strings":["School of Computer Science and Software, Zhaoqing University, Zhaoqing, China"],"raw_orcid":"https://orcid.org/0000-0003-4950-7075","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336427","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-0184-5446"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-0184-5446","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061456453","display_name":"Kai Zhao","orcid":"https://orcid.org/0000-0003-0656-1901"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhao","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0656-1901","affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084251229","display_name":"Yu\u2010Feng Yu","orcid":"https://orcid.org/0000-0002-8207-0496"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Feng Yu","raw_affiliation_strings":["Department of Statistics, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8207-0496","affiliations":[{"raw_affiliation_string":"Department of Statistics, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067611057","display_name":"Zhihao Hao","orcid":"https://orcid.org/0000-0002-1079-7063"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Hao","raw_affiliation_strings":["School of Computer Science and Artificial Intelligence, Beijing Technology and Business University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Artificial Intelligence, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":null,"display_name":"Weihua Bai","orcid":"https://orcid.org/0000-0001-8333-7415"},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Bai","raw_affiliation_strings":["School of Computer Science and Software, Zhaoqing University, Zhaoqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8333-7415","affiliations":[{"raw_affiliation_string":"School of Computer Science and Software, Zhaoqing University, Zhaoqing, China","institution_ids":["https://openalex.org/I183816158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7655,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76758212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"34","issue":"2","first_page":"382","last_page":"395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.5174999833106995,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.5174999833106995,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.19689999520778656,"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":0.02329999953508377,"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/robustness","display_name":"Robustness (evolution)","score":0.5302000045776367},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4959000051021576},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49160000681877136},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.47540000081062317},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4562000036239624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44020000100135803},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4106999933719635},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.39570000767707825},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.3555000126361847}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5403000116348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5315999984741211},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5302000045776367},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4959000051021576},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49160000681877136},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.47540000081062317},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4104999899864197},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.39570000767707825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3747999966144562},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.3386000096797943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3312999904155731},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30059999227523804},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.2969000041484833},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2919999957084656},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.26600000262260437},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2572000026702881},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3628591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3628591","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1331012008","display_name":null,"funder_award_id":"2024A1515012040","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G1581597255","display_name":null,"funder_award_id":"62576178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4286351655","display_name":null,"funder_award_id":"U2433216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5400731467","display_name":null,"funder_award_id":"0046/2023/RIA1","funder_id":"https://openalex.org/F4320321655","funder_display_name":"Science and Technology Development Fund"},{"id":"https://openalex.org/G5407224365","display_name":null,"funder_award_id":"62403082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7476944060","display_name":null,"funder_award_id":"BK20231337","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2921315455","https://openalex.org/W2963165461","https://openalex.org/W3018027613","https://openalex.org/W3044063956","https://openalex.org/W4212873158","https://openalex.org/W4280632002","https://openalex.org/W4283827931","https://openalex.org/W4285049621","https://openalex.org/W4294068693","https://openalex.org/W4296913441","https://openalex.org/W4312238451","https://openalex.org/W4313639625","https://openalex.org/W4320480761","https://openalex.org/W4360753265","https://openalex.org/W4377079741","https://openalex.org/W4385453353","https://openalex.org/W4385489679","https://openalex.org/W4385973234","https://openalex.org/W4385976158","https://openalex.org/W4386913514","https://openalex.org/W4387092325","https://openalex.org/W4388104352","https://openalex.org/W4388919401","https://openalex.org/W4389076299","https://openalex.org/W4390685528","https://openalex.org/W4391046439","https://openalex.org/W4392729272","https://openalex.org/W4392901421","https://openalex.org/W4393147155","https://openalex.org/W4395069478","https://openalex.org/W4396878042","https://openalex.org/W4399168453","https://openalex.org/W4400032748","https://openalex.org/W4400032850","https://openalex.org/W4401024794","https://openalex.org/W4401108984","https://openalex.org/W4401304980","https://openalex.org/W4401725932","https://openalex.org/W4402727918","https://openalex.org/W4402978091","https://openalex.org/W4403016719","https://openalex.org/W4403936919","https://openalex.org/W4403976971","https://openalex.org/W4404279187","https://openalex.org/W4404437488","https://openalex.org/W4405718065","https://openalex.org/W4406170506","https://openalex.org/W4406377933","https://openalex.org/W4406521119","https://openalex.org/W4406657594","https://openalex.org/W4409257451","https://openalex.org/W4409363885","https://openalex.org/W4409580866","https://openalex.org/W4409762518"],"related_works":[],"abstract_inverted_index":{"Consensus":[0,60],"learning":[1],"has":[2],"been":[3],"widely":[4],"adopted":[5],"in":[6,132],"clustering":[7,73],"tasks":[8],"due":[9],"to":[10,13,22,75,87,199],"its":[11,20],"robustness":[12],"noise":[14],"and":[15,45,113,147,180],"outliers,":[16],"as":[17,19,89],"well":[18],"ability":[21],"aggregate":[23],"diverse":[24,77],"base":[25,90],"results":[26],"from":[27,41],"multiple":[28],"models.":[29,50],"However,":[30],"existing":[31],"methods":[32,74],"are":[33,81],"often":[34],"limited":[35],"by":[36],"feature":[37,43,100,166],"alignment":[38,101],"issues":[39,102],"arising":[40],"heterogeneous":[42],"dimensionalities":[44],"label":[46],"permutation":[47],"inconsistencies":[48],"across":[49],"To":[51,117],"address":[52],"these":[53],"limitations,":[54],"this":[55],"paper":[56],"introduces":[57],"a":[58,106,152],"novel":[59],"Fuzzy":[61],"Representation":[62],"Learning":[63],"(CFRL)":[64],"framework.":[65],"The":[66],"CFRL":[67,193],"framework":[68],"initially":[69],"employs":[70],"various":[71],"fuzzy":[72,91,135],"generate":[76],"membership":[78],"matrices,":[79],"which":[80,162],"then":[82],"transformed":[83],"into":[84,158],"affinity":[85],"matrices":[86],"serve":[88],"representations.":[92],"This":[93,174],"transformation":[94],"strategy":[95],"not":[96],"only":[97],"effectively":[98],"resolves":[99],"but":[103],"also":[104],"provides":[105],"unified":[107],"processing":[108],"mechanism":[109],"for":[110],"both":[111],"single-view":[112],"multi-view":[114],"data":[115],"scenarios.":[116],"derive":[118],"robust":[119],"consensus":[120,165],"features,":[121],"the":[122,133,159,164,191],"tensor":[123],"Schatten":[124],"<inline-formula":[125,139],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[126,140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[127,141],"notation=\"LaTeX\">$p$</tex-math></inline-formula>-norm":[128],"encourages":[129],"low-rank":[130],"structure":[131],"tensorized":[134],"representations,":[136],"whereas":[137],"an":[138,169],"notation=\"LaTeX\">$l_{1}$</tex-math></inline-formula>-norm":[142],"regularized":[143],"error":[144],"term":[145],"captures":[146],"suppresses":[148],"sparse":[149],"noise.":[150],"Moreover,":[151],"block":[153,171],"diagonal":[154,172],"regularizer":[155],"is":[156],"incorporated":[157],"objective":[160],"function,":[161],"guides":[163],"matrix":[167],"toward":[168],"optimal":[170],"structure.":[173],"structural":[175],"constraint":[176],"enhances":[177],"cluster":[178,184],"discriminability":[179],"enables":[181],"reliable":[182],"final":[183],"assignments.":[185],"Comprehensive":[186],"experimental":[187],"evaluations":[188],"validate":[189],"that":[190],"proposed":[192],"method":[194],"achieves":[195],"superior":[196],"performance":[197],"compared":[198],"state-of-the-art":[200],"approaches.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-02-07T06:11:34.122080","created_date":"2025-11-03T00:00:00"}
