{"id":"https://openalex.org/W2677667806","doi":"https://doi.org/10.1109/eais.2017.7954836","title":"Incremental rule splitting in generalized evolving fuzzy regression models","display_name":"Incremental rule splitting in generalized evolving fuzzy regression models","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2677667806","doi":"https://doi.org/10.1109/eais.2017.7954836","mag":"2677667806"},"language":"en","primary_location":{"id":"doi:10.1109/eais.2017.7954836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2017.7954836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-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":true,"raw_author_name":"Edwin Lughofer","raw_affiliation_strings":["Department of Knowledge-Based, Johannes Kepler University Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Knowledge-Based, Johannes Kepler University Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036928886","display_name":"Mahardhika Pratama","orcid":"https://orcid.org/0000-0001-6531-5087"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahardhika Pratama","raw_affiliation_strings":["Latrobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Latrobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"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 Skrjanc","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Ljubljana"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Ljubljana","institution_ids":["https://openalex.org/I153976015"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010578654"],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.694714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9987999796867371,"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":0.9919999837875366,"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/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.5608629584312439},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5333806276321411},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5038041472434998},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5038005709648132},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5037102103233337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4817254841327667},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.47976455092430115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4645504653453827},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4514932334423065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4505385756492615},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.41637271642684937},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3746148645877838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.350686252117157},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3410419821739197},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3323552906513214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1440594494342804}],"concepts":[{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.5608629584312439},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5333806276321411},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5038041472434998},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5038005709648132},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5037102103233337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4817254841327667},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.47976455092430115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4645504653453827},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4514932334423065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4505385756492615},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.41637271642684937},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3746148645877838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.350686252117157},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3410419821739197},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3323552906513214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1440594494342804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eais.2017.7954836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eais.2017.7954836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Evolving and Adaptive Intelligent Systems (EAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320328079","display_name":"\u00d6sterreichische Forschungsgemeinschaft","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W43637044","https://openalex.org/W178056938","https://openalex.org/W301800434","https://openalex.org/W322952782","https://openalex.org/W626833182","https://openalex.org/W1537430301","https://openalex.org/W1540596182","https://openalex.org/W1966654857","https://openalex.org/W1969790930","https://openalex.org/W1969848348","https://openalex.org/W1999727996","https://openalex.org/W1999860347","https://openalex.org/W2005650084","https://openalex.org/W2016086965","https://openalex.org/W2028063358","https://openalex.org/W2037187889","https://openalex.org/W2045544997","https://openalex.org/W2052345845","https://openalex.org/W2056901498","https://openalex.org/W2057974719","https://openalex.org/W2060685971","https://openalex.org/W2076665520","https://openalex.org/W2086775121","https://openalex.org/W2091370820","https://openalex.org/W2093323445","https://openalex.org/W2093584883","https://openalex.org/W2108947279","https://openalex.org/W2117774525","https://openalex.org/W2135335717","https://openalex.org/W2153196467","https://openalex.org/W2166777045","https://openalex.org/W2500228126","https://openalex.org/W2528421823","https://openalex.org/W2559748060","https://openalex.org/W3003253354","https://openalex.org/W4244017338","https://openalex.org/W4250364582","https://openalex.org/W4250859275","https://openalex.org/W6680192438"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W1822436433","https://openalex.org/W2164525173","https://openalex.org/W2135010468"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2],"incremental":[3],"rule":[4,30,143,257],"splitting":[5,78,135,169,182,232],"concept":[6,119],"for":[7,124,267],"generalized":[8,54,188],"fuzzy":[9,13],"rules":[10,39,55,88,108],"in":[11,16,59,90,110,127,154,186,217],"evolving":[12,190],"regression":[14],"models":[15],"order":[17,128,155],"to":[18,25,37,96,129,156],"properly":[19],"react":[20],"on":[21,83,103,138,197],"gradual":[22,213,262],"drifts":[23],"and":[24,68,101,152,161,194,205,245],"compensate":[26],"inappropriate":[27],"settings":[28],"of":[29,74,87,92,106,112,120,141,163,178,236,253],"evolution":[31],"parameters;":[32],"both":[33],"occurrences":[34],"may":[35],"lead":[36],"oversized":[38],"with":[40],"untypically":[41],"large":[42],"local":[43,85],"errors,":[44],"which":[45],"also":[46],"usually":[47],"affects":[48],"the":[49,60,84,97,104,107,118,139,142,149,158,164,173,187,208,218,237,261],"global":[50],"model":[51,99],"error.":[52],"The":[53,134,181],"are":[56,184],"directly":[57],"defined":[58],"multi-dimensional":[61],"feature":[62],"space":[63],"through":[64],"a":[65,93,179,211],"kernel":[66],"function,":[67],"thus":[69],"allowing":[70],"any":[71],"rotated":[72],"orientation":[73],"their":[75],"shapes.":[76],"Our":[77],"condition":[79],"is":[80,170,220,233],"based":[81],"1.)":[82],"error":[86,100,226,238],"measured":[89,109],"terms":[91,111],"weighted":[94],"contribution":[95],"whole":[98],"2.)":[102],"size":[105],"its":[113],"volume.":[114],"Thereby,":[115],"we":[116],"use":[117],"statistical":[121],"process":[122],"control":[123],"automatic":[125],"thresholding,":[126],"omit":[130],"two":[131,165,198],"extra":[132],"parameters.":[133],"technique":[136],"relies":[137],"eigendecompisition":[140],"covariance":[144],"matrix":[145],"by":[146,239],"adequately":[147],"manipulating":[148],"largest":[150],"eigenvector":[151],"eigenvalues":[153],"retrieve":[157],"new":[159],"centers":[160],"contours":[162],"split":[166],"rules.":[167],"Thus,":[168],"performed":[171],"along":[172],"main":[174],"principal":[175],"component":[176],"direction":[177],"rule.":[180],"concepts":[183],"integrated":[185],"smart":[189],"learning":[191],"engine":[192,202],"(Gen-Smart-EFS)":[193],"successfully":[195],"tested":[196],"real-world":[199],"application":[200],"scenarios,":[201],"test":[203,249],"benches":[204],"rolling":[206,254],"mills,":[207,255],"latter":[209],"including":[210],"real-occurring":[212],"drift":[214,263],"(whose":[215],"position":[216],"data":[219],"known).":[221],"Results":[222],"show":[223],"clearly":[224],"improved":[225],"trend":[227],"lines":[228],"over":[229],"time":[230],"when":[231],"applied:":[234],"reduction":[235],"about":[240],"one":[241,246],"third":[242],"(rolling":[243],"mills)":[244],"half":[247],"(engine":[248],"benches).":[250],"In":[251],"case":[252],"three":[256],"splits":[258],"right":[259],"after":[260],"starts":[264],"were":[265],"essential":[266],"this":[268],"significant":[269],"improvement.":[270]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}