{"id":"https://openalex.org/W4400032848","doi":"https://doi.org/10.1109/tfuzz.2024.3419144","title":"Learning Fuzzy Label-Distribution-Specific Features for Data Processing","display_name":"Learning Fuzzy Label-Distribution-Specific Features for Data Processing","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4400032848","doi":"https://doi.org/10.1109/tfuzz.2024.3419144"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3419144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3419144","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/A5113361346","display_name":"Xin Wang","orcid":"https://orcid.org/0009-0004-1235-9296"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024020375","display_name":"J. Dinesh Peter","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Dinesh Peter","raw_affiliation_strings":["Karunya Institute of Technology and Sciences, Coimbatore, India","Karunya Institute of Technology and Sciences, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Karunya Institute of Technology and Sciences, Coimbatore, India","institution_ids":["https://openalex.org/I119668213"]},{"raw_affiliation_string":"Karunya Institute of Technology and Sciences, Tamil Nadu, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024909557","display_name":"Adam S\u0142owik","orcid":"https://orcid.org/0000-0003-2542-9842"},"institutions":[{"id":"https://openalex.org/I269685040","display_name":"Koszalin University of Technology","ror":"https://ror.org/00x6dk626","country_code":"PL","type":"education","lineage":["https://openalex.org/I269685040"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Slowik","raw_affiliation_strings":["Koszalin University of Technology, Koszalin, Poland"],"affiliations":[{"raw_affiliation_string":"Koszalin University of Technology, Koszalin, Poland","institution_ids":["https://openalex.org/I269685040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101828411","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-7794-6940"},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033549469","display_name":"Xingsi Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingsi Xue","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113361346"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":1.36,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.834896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"1","first_page":"365","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.973800003528595,"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":0.973800003528595,"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/computer-science","display_name":"Computer science","score":0.6271581053733826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5323268175125122},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44234970211982727},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4392826557159424},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4127240777015686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4039599299430847},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.356749951839447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6271581053733826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5323268175125122},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44234970211982727},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4392826557159424},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4127240777015686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4039599299430847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.356749951839447},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3419144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3419144","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/G6369165936","display_name":null,"funder_award_id":"62172095","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1974387747","https://openalex.org/W1989145535","https://openalex.org/W1990368529","https://openalex.org/W2014713986","https://openalex.org/W2066454034","https://openalex.org/W2090630554","https://openalex.org/W2106115875","https://openalex.org/W2137306662","https://openalex.org/W2167638481","https://openalex.org/W2231999017","https://openalex.org/W2330485005","https://openalex.org/W2553156677","https://openalex.org/W2604773025","https://openalex.org/W2740468505","https://openalex.org/W2902200737","https://openalex.org/W2962769166","https://openalex.org/W2963321416","https://openalex.org/W2964118336","https://openalex.org/W2966460909","https://openalex.org/W2971130703","https://openalex.org/W2976049311","https://openalex.org/W2978951558","https://openalex.org/W2981059842","https://openalex.org/W2997546679","https://openalex.org/W3036790830","https://openalex.org/W3092285484","https://openalex.org/W3097634570","https://openalex.org/W3142256053","https://openalex.org/W3160128709","https://openalex.org/W3184825405","https://openalex.org/W3187047110","https://openalex.org/W3195648067","https://openalex.org/W3204664402","https://openalex.org/W3213768855","https://openalex.org/W4206835157","https://openalex.org/W4225933706","https://openalex.org/W4283314552","https://openalex.org/W4285244819","https://openalex.org/W4293330305","https://openalex.org/W4296984412","https://openalex.org/W4313530416","https://openalex.org/W4322102103","https://openalex.org/W4361801215","https://openalex.org/W4362013210","https://openalex.org/W4385453047","https://openalex.org/W4388624488","https://openalex.org/W4390284834","https://openalex.org/W4390872643","https://openalex.org/W6607976765","https://openalex.org/W6631190155","https://openalex.org/W6694232893"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313","https://openalex.org/W2973458857"],"abstract_inverted_index":{"Due":[0],"to":[1,40,62,89,114,167,177],"its":[2],"superiority":[3],"in":[4,77,153],"addressing":[5],"label":[6,8,35,72,96,104,124,134,140,152,195],"ambiguity,":[7],"distribution":[9,75,97,125,135,141,196],"learning":[10,138],"(LDL)":[11],"has":[12,58],"received":[13],"wide":[14],"attention":[15],"from":[16],"the":[17,32,47,55,69,101,119,132,139,160,164,189],"community,":[18],"such":[19],"as":[20],"image":[21],"classification,":[22],"emotion":[23],"recognition,":[24],"and":[25,142,187],"big":[26],"data":[27,33,98],"processing.":[28],"To":[29],"efficiently":[30],"process":[31],"with":[34,81,163],"distribution,":[36],"researchers":[37],"have":[38],"proposed":[39],"learn":[41,63,90],"label-specific":[42],"features":[43,49,92,166],"(LSFs)":[44],"that":[45,179],"are":[46],"discriminative":[48],"for":[50,94,131,150,193],"each":[51,151],"class":[52],"label.":[53],"Although":[54],"LDL":[56,110,170,185],"literature":[57],"seen":[59],"many":[60],"algorithms":[61],"LSFs,":[64],"most":[65],"of":[66,71,103,123,191],"them":[67],"ignore":[68],"characteristics":[70],"distribution.":[73,105],"Label":[74],"lies":[76],"real-value":[78],"vector":[79],"space":[80],"specific":[82],"characteristics.":[83],"In":[84],"this":[85],"article,":[86],"we":[87,173],"propose":[88],"label-distribution-specific":[91],"(LDSFs)":[93],"processing":[95,194],"by":[99,117,136],"considering":[100,118],"structures":[102,122],"We":[106],"design":[107],"a":[108,154],"novel":[109],"method":[111],"called":[112],"LDL-LDSF":[113,128,180],"exploit":[115],"LDSFs":[116,130,149,162,192],"fuzzy":[120,143],"cluster":[121],"data.":[126,197],"First,":[127],"learns":[129,148],"whole":[133],"jointly":[137],"C-means":[144],"clustering.":[145],"Second,":[146],"it":[147,158],"similar":[155],"way.":[156],"Third,":[157],"concatenates":[159],"learned":[161],"original":[165],"deduce":[168],"an":[169],"model.":[171],"Finally,":[172],"conduct":[174],"extensive":[175],"experiments":[176],"justify":[178],"statistically":[181],"outperforms":[182],"several":[183],"state-of-the-art":[184],"methods":[186],"validate":[188],"advantages":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
