{"id":"https://openalex.org/W4392908044","doi":"https://doi.org/10.1109/tetci.2024.3371227","title":"Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction","display_name":"Robust Evolving Fuzzy Classifier Integrating Noise Smoothing and Soft Dimension Reduction","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392908044","doi":"https://doi.org/10.1109/tetci.2024.3371227"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3371227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3371227","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","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":0.7141,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73994781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"8","issue":"5","first_page":"3628","last_page":"3642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9861999750137329,"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":0.9861999750137329,"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/smoothing","display_name":"Smoothing","score":0.7297797203063965},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5784895420074463},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.571502685546875},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5563185811042786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5421832799911499},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5344447493553162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168702602386475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4324277937412262},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4245869517326355},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2623054087162018}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7297797203063965},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5784895420074463},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.571502685546875},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5563185811042786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5421832799911499},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5344447493553162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168702602386475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4324277937412262},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4245869517326355},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2623054087162018}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3371227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3371227","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"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 Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"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"}],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1171650066","https://openalex.org/W1530407533","https://openalex.org/W1535713740","https://openalex.org/W1570448133","https://openalex.org/W1584161386","https://openalex.org/W1594444054","https://openalex.org/W1994477199","https://openalex.org/W2010877333","https://openalex.org/W2013357884","https://openalex.org/W2016086965","https://openalex.org/W2028063358","https://openalex.org/W2036485694","https://openalex.org/W2038420319","https://openalex.org/W2041775680","https://openalex.org/W2056901498","https://openalex.org/W2057974719","https://openalex.org/W2065981096","https://openalex.org/W2075427495","https://openalex.org/W2081717961","https://openalex.org/W2092682490","https://openalex.org/W2093584883","https://openalex.org/W2149742173","https://openalex.org/W2153196467","https://openalex.org/W2156571267","https://openalex.org/W2166322089","https://openalex.org/W2171253128","https://openalex.org/W2281536933","https://openalex.org/W2334248800","https://openalex.org/W2405038777","https://openalex.org/W2415111748","https://openalex.org/W2478708596","https://openalex.org/W2480422823","https://openalex.org/W2482726299","https://openalex.org/W2528421823","https://openalex.org/W2742340224","https://openalex.org/W2754458851","https://openalex.org/W2766425260","https://openalex.org/W2767434288","https://openalex.org/W2787894218","https://openalex.org/W2794378956","https://openalex.org/W2804648365","https://openalex.org/W2806669854","https://openalex.org/W2809545281","https://openalex.org/W2896732351","https://openalex.org/W2929291387","https://openalex.org/W2946345288","https://openalex.org/W2965794323","https://openalex.org/W2971808011","https://openalex.org/W2978873084","https://openalex.org/W3003253354","https://openalex.org/W3011621907","https://openalex.org/W3021933602","https://openalex.org/W3083750329","https://openalex.org/W3157587074","https://openalex.org/W3197389756","https://openalex.org/W4200119110","https://openalex.org/W4213251304","https://openalex.org/W4220656193","https://openalex.org/W4233391551","https://openalex.org/W4234672050","https://openalex.org/W4241695713","https://openalex.org/W4244017338","https://openalex.org/W4250859275","https://openalex.org/W4252684946","https://openalex.org/W4253468246","https://openalex.org/W4285280530","https://openalex.org/W4296984926","https://openalex.org/W4320718450","https://openalex.org/W6680192438","https://openalex.org/W6680294583","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2040641410"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,19,33,58,108,124,137,176,201,260,270],"new":[3,125,138,213],"evolving":[4,265,290,316],"fuzzy":[5,266],"classifier":[6,191,267],"approach":[7,178,226,283,313],"termed":[8],"asEFC-RNG":[9],"(Evolving":[10],"Fuzzy":[11],"Classifier":[12],"based":[13,111,132,157,179,229,258,274],"on":[14,158,180,230,259,275],"Robust":[15],"Neural":[16],"Gas)acting":[17],"in":[18,64,75,92,195,304],"fully":[20],"single-pass,":[21],"sample-wise":[22,173],"incremental":[23,44,152],"manner":[24],"and":[25,55,83,140,166,171,246,252,309],"embedding":[26],"advanced":[27],"robustness":[28],"aspects":[29],"i)":[30],"by":[31,42,57],"integrating":[32],"noise":[34,115],"smoothing":[35,116],"technique":[36,155],"during":[37],"the":[38,49,102,121,129,144,164,186,190,196,209,221,237,285],"rule":[39,61,103,145,197],"updates,":[40],"ii)":[41],"an":[43,288],"feature":[45,153,187],"weighting":[46,112,154],"concept":[47,117],"for":[48],"purpose":[50],"of":[51,101,123,143,169,185,217,223,287,306],"soft":[52],"dimension":[53],"reduction,":[54],"iii)":[56],"specific":[59],"supervised":[60],"evolution":[62,198],"criterion":[63],"order":[65],"to":[66,136,211,220],"handle":[67],"class":[68,76,307],"imbalance":[69],"problems.":[70],"The":[71,99,114,151,183,255],"latter":[72],"assures":[73],"that":[74],"overlapping":[77],"regions,":[78],"where":[79,294,310],"majority":[80],"classes":[81,88],"dominate":[82],"overwhelm":[84],"minority":[85,87],"classes,":[86],"become":[89],"still":[90],"active":[91],"separate":[93],"rules":[94,215],"(in":[95],"their":[96],"output":[97],"consequences).":[98],"update":[100,142],"centers":[104,146],"is":[105,118,156,172,193,257],"achieved":[106],"through":[107,120,175],"neural":[109,130,148],"gas":[110,131,149],"concept.":[113],"integrated":[119],"definition":[122],"distance":[126],"measure":[127],"into":[128,189],"objective":[133],"function,":[134],"leading":[135],"noise-":[139],"outlier-smoothened":[141],"with":[147,248,263,297],"weights.":[150],"thefeature":[159],"relevance":[160],"(FR)concept,":[161],"which":[162],"integrates":[163],"entropy":[165],"mutual":[167],"information":[168],"features":[170],"updated":[174],"discretization":[177],"histogram":[181],"bins.":[182],"integration":[184],"weights":[188],"updates":[192],"done":[194],"criterion,":[199],"inducing":[200],"shrinking":[202],"effect":[203],"along":[204],"unimportant":[205],"features,":[206],"thus":[207],"decreasing":[208],"likelihood":[210],"evolve":[212],"unnecessary":[214],"(avoidance":[216],"over-fitting":[218],"due":[219],"curse":[222],"dimensionality).":[224],"Our":[225],"was":[227],"evaluated":[228,281],"several":[231],"randomly":[232],"selected":[233],"data":[234,244],"streams":[235,247],"from":[236],"UCI":[238],"repository,":[239],"containing":[240],"some":[241],"highly":[242],"imbalanced":[243],"sets":[245],"different":[249,298],"input":[250],"dimensionality":[251],"sample":[253],"size.":[254],"evaluation":[256],"profound":[261],"comparison":[262],"related":[264],"methods,":[268],"including":[269],"statistical":[271],"preference":[272],"analysis":[273],"accumulated":[276],"accuracy":[277],"measures.":[278],"Additionally,":[279],"we":[280],"our":[282,311],"within":[284],"context":[286],"online":[289],"multi-user":[291],"classification":[292],"framework,":[293],"multiple":[295],"users":[296],"experience":[299],"levels":[300],"may":[301],"provide":[302],"feedback":[303],"form":[305],"labels":[308],"EFC-RNG":[312],"served":[314],"as":[315],"base":[317],"classifier.":[318]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
