{"id":"https://openalex.org/W2147615893","doi":"https://doi.org/10.1109/fuzzy.2007.4295393","title":"Evolving Single- And Multi-Model Fuzzy Classifiers with FLEXFIS-Class","display_name":"Evolving Single- And Multi-Model Fuzzy Classifiers with FLEXFIS-Class","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2147615893","doi":"https://doi.org/10.1109/fuzzy.2007.4295393","mag":"2147615893"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2007.4295393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295393","pdf_url":null,"source":{"id":"https://openalex.org/S4210187232","display_name":"Proceedings of ... IEEE International Conference on Fuzzy Systems","issn_l":"1098-7584","issn":["1098-7584"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.lancs.ac.uk/id/eprint/19217/1/1123.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010578654","display_name":"Edwin Lughofer","orcid":"https://orcid.org/0000-0003-1560-5136"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Edwin Lughofer","raw_affiliation_strings":["Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039480864","display_name":"Plamen Angelov","orcid":"https://orcid.org/0000-0002-5770-934X"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Plamen Angelov","raw_affiliation_strings":["Department of Communication Systems, Infolab21, Lancaster University, Lancaster, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication Systems, Infolab21, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101814482","display_name":"Xiaowei Zhou","orcid":"https://orcid.org/0000-0003-1926-5597"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiaowei Zhou","raw_affiliation_strings":["Department of Communication Systems, Infolab21, Lancaster University, Lancaster, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communication Systems, Infolab21, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0062,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95176662,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9993000030517578,"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":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.9889000058174133,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031044960021973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6099541783332825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6006942391395569},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5768532156944275},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5490357279777527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5406444072723389},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5136200785636902},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.49457284808158875},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.45920947194099426},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.43534374237060547},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4296315312385559},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.42107051610946655},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.3500533103942871},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.18328475952148438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031044960021973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6099541783332825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6006942391395569},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5768532156944275},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5490357279777527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5406444072723389},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5136200785636902},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.49457284808158875},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.45920947194099426},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.43534374237060547},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4296315312385559},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.42107051610946655},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.3500533103942871},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.18328475952148438},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzzy.2007.4295393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295393","pdf_url":null,"source":{"id":"https://openalex.org/S4210187232","display_name":"Proceedings of ... IEEE International Conference on Fuzzy Systems","issn_l":"1098-7584","issn":["1098-7584"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.lancs.ac.uk:19217","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/19217/1/1123.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Contribution in Book/Report/Proceedings"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.605.7541","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.605.7541","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eprints.lancs.ac.uk/19217/1/1123.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:eprints.lancs.ac.uk:19217","is_oa":true,"landing_page_url":null,"pdf_url":"https://eprints.lancs.ac.uk/id/eprint/19217/1/1123.pdf","source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Contribution in Book/Report/Proceedings"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5405545987","display_name":null,"funder_award_id":"STRP016429","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2147615893.pdf","grobid_xml":"https://content.openalex.org/works/W2147615893.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W139044672","https://openalex.org/W1480376833","https://openalex.org/W1497915736","https://openalex.org/W1554944419","https://openalex.org/W1594031697","https://openalex.org/W1594444054","https://openalex.org/W1595740553","https://openalex.org/W1748932423","https://openalex.org/W1965324089","https://openalex.org/W1972471335","https://openalex.org/W2007269834","https://openalex.org/W2059121040","https://openalex.org/W2079325629","https://openalex.org/W2094603430","https://openalex.org/W2096106305","https://openalex.org/W2101036899","https://openalex.org/W2104973097","https://openalex.org/W2113615806","https://openalex.org/W2122177784","https://openalex.org/W2129013743","https://openalex.org/W2136340804","https://openalex.org/W2151863350","https://openalex.org/W2153263874","https://openalex.org/W2162635690","https://openalex.org/W2913399920","https://openalex.org/W3085162807","https://openalex.org/W4240691156","https://openalex.org/W4244017338","https://openalex.org/W6605683200","https://openalex.org/W6629730535","https://openalex.org/W6635702477","https://openalex.org/W6643530654","https://openalex.org/W6680386445","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W3176863924","https://openalex.org/W1485268022","https://openalex.org/W1975005191","https://openalex.org/W2060361571","https://openalex.org/W2331106272","https://openalex.org/W4388451300","https://openalex.org/W4361984403","https://openalex.org/W2382615100","https://openalex.org/W1542808721"],"abstract_inverted_index":{"In":[0,63],"this":[1],"paper":[2,99],"a":[3,30,79,94,101,109,112],"new":[4,167],"method":[5],"for":[6,25,56,83,103,187],"training":[7],"single-model":[8,27,181],"and":[9,14,52,87],"multi-model":[10,65,152,176],"fuzzy":[11,33,39,81,153,184],"classifiers":[12,154],"incrementally":[13],"adaptively":[15],"is":[16,19],"proposed,":[17],"which":[18],"called":[20],"FLEXFIS-Class.":[21],"The":[22,98],"evolving":[23,150],"scheme":[24],"the":[26,42,49,60,64,69,89,105,147],"case":[28,66],"exploits":[29,68],"conventional":[31,156,180],"zero-order":[32],"classification":[34,96,128,185],"model":[35,82],"architecture":[36,177,182],"with":[37,155,160,191],"Gaussian":[38],"sets":[40,190],"in":[41,48,59,111],"rules":[43],"antecedents,":[44],"crisp":[45],"class":[46,61,86],"labels":[47],"rule":[50,53],"consequents":[51],"weights":[54],"standing":[55],"confidence":[57],"values":[58],"labels.":[62],"FLEXFIS-Class":[67],"idea":[70],"of":[71,149],"regression":[72],"by":[73],"an":[74,124],"indicator":[75],"matrix":[76],"to":[77,93,162,193],"evolve":[78],"Takagi-Sugeno":[80],"each":[84],"separate":[85],"combines":[88],"single":[90],"models'":[91],"predictions":[92],"final":[95],"statement.":[97],"includes":[100],"technique":[102],"increasing":[104],"prediction":[106,164,194],"quality,":[107],"whenever":[108],"drift":[110],"data":[113,189],"stream":[114],"occurs.":[115],"An":[116],"empirical":[117],"analysis":[118,144],"will":[119,145,171],"be":[120,136,173],"given":[121],"based":[122],"on":[123,166],"online,":[125],"adaptive":[126],"image":[127],"framework,":[129],"where":[130],"images":[131],"showing":[132],"production":[133],"items":[134],"should":[135],"classified":[137],"into":[138],"good":[139],"or":[140],"bad":[141],"ones.":[142],"This":[143],"include":[146],"comparison":[148],"single-and":[151],"batch":[157],"modelling":[158],"approaches":[159],"respect":[161,192],"achieved":[163],"accuracy":[165],"online":[168],"data.":[169],"It":[170],"also":[172],"shown":[174],"that":[175],"can":[178],"outperform":[179],"('classical'":[183],"models)":[186],"all":[188],"accuracy.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}