{"id":"https://openalex.org/W4385627436","doi":"https://doi.org/10.1109/tfuzz.2023.3302403","title":"Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context","display_name":"Online Active Learning for Evolving Error Feedback Fuzzy Models Within a Multi-Innovation Context","publication_year":2023,"publication_date":"2023-08-07","ids":{"openalex":"https://openalex.org/W4385627436","doi":"https://doi.org/10.1109/tfuzz.2023.3302403"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2023.3302403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2023.3302403","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/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":["Institute of Mathematical Methods in Medicine and Databased Modeling, Johannes Kepler University Linz, Linz, Austria"],"raw_orcid":"https://orcid.org/0000-0003-1560-5136","affiliations":[{"raw_affiliation_string":"Institute of Mathematical Methods in Medicine and Databased Modeling, Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040998302","display_name":"Igor \u0160krjanc","orcid":"https://orcid.org/0000-0002-0502-5376"},"institutions":[{"id":"https://openalex.org/I153976015","display_name":"University of Ljubljana","ror":"https://ror.org/05njb9z20","country_code":"SI","type":"education","lineage":["https://openalex.org/I153976015"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Igor \u0160krjanc","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia"],"raw_orcid":"https://orcid.org/0000-0002-0502-5376","affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6943,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87008533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"32","issue":"11","first_page":"5998","last_page":"6011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.992900013923645,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.992900013923645,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9747999906539917,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7608827352523804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5933552384376526},{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.5578612685203552},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46606332063674927},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4339936375617981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4339812397956848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4202784299850464},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3889663517475128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34616541862487793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3358686566352844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33316564559936523}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7608827352523804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5933552384376526},{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.5578612685203552},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46606332063674927},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4339936375617981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4339812397956848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4202784299850464},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3889663517475128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34616541862487793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3358686566352844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33316564559936523},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2023.3302403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2023.3302403","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G1223923526","display_name":"Interactive Machine Learning with Evolving Fuzzy Systems","funder_award_id":"P 32272","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G8436821565","display_name":"Modelling, simulation and control of processes","funder_award_id":"P2-0219","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"},{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4283017538","https://openalex.org/W1545275724","https://openalex.org/W1996936972","https://openalex.org/W2569979269","https://openalex.org/W3021699548","https://openalex.org/W2015677538","https://openalex.org/W4291718021","https://openalex.org/W2075777916","https://openalex.org/W2120338570","https://openalex.org/W2802707792"],"abstract_inverted_index":{"In":[0],"data":[1,262],"stream":[2],"modeling":[3],"problems,":[4],"online":[5,42],"active":[6,43],"learning":[7,44],"plays":[8],"an":[9,41,56,279],"important":[10,145],"role":[11],"for":[12,32,47,89,146,161,180,211,227,249,326],"reducing":[13],"model":[14,151,156,162,327],"update":[15,87],"times":[16,325],"and":[17,24,153,202,318],"costs":[18],"(or":[19],"efforts)":[20],"associated":[21],"with":[22,277,309,320],"measuring":[23],"collecting":[25],"target":[26],"values,":[27],"which":[28,54,139,199],"are":[29,140],"typically":[30],"required":[31,251],"supervised":[33],"updates":[34],"in":[35,73,102,111,117,130,176,204,223,235,245,274,313],"evolving":[36,48],"fuzzy":[37,51],"models.":[38],"We":[39],"propose":[40,82],"(oAL)":[45],"approach":[46,101],"error":[49,315],"feedback":[50],"models":[52],"(EEF-FM),":[53],"integrate":[55],"auto-regressive":[57],"(AR)":[58],"based":[59,85,166],"noise":[60],"correction":[61,291],"component":[62],"on":[63,167,192,259],"consequent":[64,91,109,178],"hyper-planes":[65],"to":[66,104,135,142,184,230,300,307],"gain":[67],"higher":[68],"robustness":[69,149],"of":[70,76,108,114,150,172,195,284],"predictions,":[71],"especially":[72],"the":[74,90,106,112,148,155,173,177,182,187,193,196,224,228,232,236,240,246,302,314,323],"case":[75,113],"measurement":[77,303],"noise.":[78],"Thereby,":[79],"we":[80],"first":[81],"a":[83,118,126,131,205,209,310],"multi-innovation":[84,206,267],"recursive":[86,95],"scheme":[88],"parameters,":[92],"substituting":[93],"conventional":[94,272],"fuzzily":[96],"weighted":[97],"least":[98],"squares":[99],"(RFWLS)":[100],"order":[103],"reduce":[105,186,301],"sub-optimality":[107],"parameters":[110,152],"structural":[115],"changes":[116],"fully":[119,132],"single-pass":[120,133],"manner$\\rightarrow$EEF-FM-MI.":[121],"Our":[122],"oAL":[123,296],"technique":[124],"applies":[125],"sample":[127],"selection":[128,212],"strategy":[129,297],"manner":[134],"elicit":[136],"those":[137],"samples":[138],"expected":[141],"be":[143],"most":[144],"improving":[147],"enriching":[154],"structure":[157],"when":[158],"being":[159],"used":[160],"updates.":[163,328],"It":[164],"is":[165,200,213],"three":[168],"criteria:":[169],"i)":[170,265],"maximization":[171],"D-optimality":[174],"criterion":[175],"space":[179,226,248],"addressing":[181],"problem":[183],"best":[185],"parameter":[188],"uncertainty;":[189],"it":[190],"relies":[191],"determinant":[194],"Hessian":[197],"matrix,":[198],"updated":[201],"represented":[203],"context,":[207],"where":[208],"threshold":[210],"automatically":[214],"derived":[215],"by":[216,305],"kernel":[217],"density":[218],"estimation;":[219],"ii)":[220],"overlap":[221],"degree":[222],"antecedent":[225,247],"purpose":[229],"\u2018sharpen\u2019":[231],"local":[233],"trends":[234],"transition":[237],"regions":[238],"between":[239],"hyper-planes;":[241],"iii)":[242],"novelty":[243],"content":[244],"indicating":[250],"knowledge":[252],"expansion":[253],"through":[254],"rule":[255],"evolution.":[256],"The":[257],"results":[258],"noisy":[260],"real-world":[261],"sets":[263],"showed":[264],"that":[266,294],"RFWLS":[268,273],"could":[269],"significantly":[270],"outperform":[271],"all":[275],"cases,":[276],"achieving":[278],"even":[280],"more":[281],"significant":[282],"out-performance":[283],"classical":[285],"EFS":[286],"(not":[287],"using":[288],"any":[289],"AR-based":[290],"component),":[292],"ii.)":[293],"our":[295],"was":[298],"able":[299],"effort":[304],"up":[306],"90%":[308],"small":[311],"increase":[312],"trend":[316],"lines,":[317],"this":[319],"about":[321],"quartering":[322],"computation":[324]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
