{"id":"https://openalex.org/W4312251623","doi":"https://doi.org/10.1109/tkde.2022.3231929","title":"Multi-View Fuzzy Classification With Subspace Clustering and Information Granules","display_name":"Multi-View Fuzzy Classification With Subspace Clustering and Information Granules","publication_year":2022,"publication_date":"2022-12-26","ids":{"openalex":"https://openalex.org/W4312251623","doi":"https://doi.org/10.1109/tkde.2022.3231929"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3231929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3231929","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/A5063734773","display_name":"Xingchen Hu","orcid":"https://orcid.org/0000-0001-6879-5266"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingchen Hu","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China","School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727888","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-9066-1475"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CA","PL"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069241620","display_name":"Qing Liao","orcid":"https://orcid.org/0000-0003-1012-5301"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liao","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041425394","display_name":"Yinghua Shen","orcid":"https://orcid.org/0000-0003-4080-5535"},"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":"Yinghua Shen","raw_affiliation_strings":["School of Economics and Business Administration, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Business Administration, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664554","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-9240-2845"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["College of Systems Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Systems Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100656645","display_name":"Siwei Wang","orcid":"https://orcid.org/0000-0001-9517-262X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Wang","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5063734773"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":4.8264,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95646834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"35","issue":"11","first_page":"11642","last_page":"11655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980000257492065,"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":0.9980000257492065,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9847000241279602,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7812598943710327},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7398852109909058},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6472603678703308},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6420542597770691},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5981430411338806},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5930593013763428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5505051612854004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4418611526489258},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4311055839061737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812598943710327},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7398852109909058},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6472603678703308},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6420542597770691},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5981430411338806},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5930593013763428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505051612854004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4418611526489258},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4311055839061737}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3231929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3231929","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G5679271379","display_name":null,"funder_award_id":"72001032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5970224695","display_name":null,"funder_award_id":"61906204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8870527398","display_name":null,"funder_award_id":"2020JJ3041","funder_id":"https://openalex.org/F4320330215","funder_display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330215","display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1883346539","https://openalex.org/W2046738003","https://openalex.org/W2063127047","https://openalex.org/W2071207147","https://openalex.org/W2079325629","https://openalex.org/W2515230771","https://openalex.org/W2521451673","https://openalex.org/W2574833973","https://openalex.org/W2579597427","https://openalex.org/W2584959193","https://openalex.org/W2586686153","https://openalex.org/W2590019597","https://openalex.org/W2604723872","https://openalex.org/W2672266311","https://openalex.org/W2758611985","https://openalex.org/W2770472008","https://openalex.org/W2771872406","https://openalex.org/W2779176574","https://openalex.org/W2791276322","https://openalex.org/W2794182015","https://openalex.org/W2900928715","https://openalex.org/W2903647084","https://openalex.org/W2952222533","https://openalex.org/W2964074409","https://openalex.org/W2965174731","https://openalex.org/W2965510190","https://openalex.org/W2965970896","https://openalex.org/W2966840649","https://openalex.org/W2990499011","https://openalex.org/W2997707481","https://openalex.org/W2997739739","https://openalex.org/W2998674125","https://openalex.org/W3007820043","https://openalex.org/W3010501594","https://openalex.org/W3016025227","https://openalex.org/W3016050434","https://openalex.org/W3022399687","https://openalex.org/W3034693603","https://openalex.org/W3036015371","https://openalex.org/W3038141720","https://openalex.org/W3044063956","https://openalex.org/W3047432317","https://openalex.org/W3081852103","https://openalex.org/W3082058021","https://openalex.org/W3103876096","https://openalex.org/W3122155873","https://openalex.org/W3129342828","https://openalex.org/W3136737181","https://openalex.org/W3139252922","https://openalex.org/W3154138201","https://openalex.org/W3162780976","https://openalex.org/W3171458478","https://openalex.org/W3176694003","https://openalex.org/W3181079839","https://openalex.org/W3189403855","https://openalex.org/W3197896619","https://openalex.org/W3205485865","https://openalex.org/W4200009809","https://openalex.org/W4200226646","https://openalex.org/W4224926219","https://openalex.org/W6639103823","https://openalex.org/W6685380521","https://openalex.org/W6731811539","https://openalex.org/W6731871752","https://openalex.org/W6779518175","https://openalex.org/W6781628341","https://openalex.org/W6788887552","https://openalex.org/W6794945405","https://openalex.org/W6796756813"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Multi-view":[0],"learning":[1],"becomes":[2],"increasingly":[3],"attractive":[4],"and":[5,42,49,135],"promising":[6],"because":[7],"multimodal":[8],"or":[9,162],"multi-view":[10,25,76,114,133],"data":[11,54],"are":[12,67,97],"commonly":[13,150],"encountered":[14],"in":[15],"real-world":[16],"applications.":[17],"In":[18,60],"this":[19,61],"study,":[20],"we":[21,110],"develop":[22],"a":[23,82],"novel":[24],"Takagi\u2013Sugeno\u2013Kang":[26],"(TSK)":[27],"fuzzy":[28,107,116,125,143],"system":[29],"framework":[30],"to":[31,47,69,89,166],"handle":[32],"classification":[33,117],"problems":[34],"for":[35,56,106],"such":[36],"data.":[37,77],"We":[38],"propose":[39],"an":[40,112],"anchor":[41],"graph":[43],"subspace":[44],"clustering":[45,85],"strategy":[46,79],"discover":[48],"represent":[50],"the":[51,63,71,75,90,100,121,129,132,167],"actual":[52],"latent":[53],"distribution":[55],"each":[57],"view":[58],"separately.":[59],"way,":[62],"discriminate":[64],"anchors":[65,96],"(landmarks)":[66],"learned":[68],"capture":[70],"main":[72],"structure":[73],"of":[74,92,102,124],"This":[78],"also":[80],"provides":[81],"computationally":[83],"efficient":[84],"algorithm":[86],"with":[87],"respect":[88],"number":[91],"instances.":[93],"These":[94],"resulting":[95],"formed":[98],"as":[99],"prototypes":[101],"information":[103],"granules":[104],"(IGs)":[105],"modeling.":[108],"Then":[109],"construct":[111],"information-granule-based":[113],"TSK":[115],"model":[118],"inherited":[119],"from":[120],"natural":[122],"interpretability":[123],"rule-based":[126],"systems.":[127],"Concretely,":[128],"relationship":[130],"between":[131],"input":[134],"label":[136],"output":[137],"spaces":[138],"is":[139],"depicted":[140],"by":[141],"IGs-oriented":[142],"rules.":[144],"The":[145],"experimental":[146],"studies":[147],"involve":[148],"various":[149],"used":[151],"benchmark":[152],"datasets,":[153],"which":[154],"indicate":[155],"that":[156],"our":[157],"proposed":[158],"method":[159],"achieves":[160],"comparable":[161],"better":[163],"performance":[164],"compared":[165],"state-of-the-art":[168],"algorithms.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
