{"id":"https://openalex.org/W2979514939","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8859000","title":"ParaFIS:A new online fuzzy inference system based on parallel drift anticipation","display_name":"ParaFIS:A new online fuzzy inference system based on parallel drift anticipation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2979514939","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8859000","mag":"2979514939"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8859000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8859000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"preprint","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/A5103947181","display_name":"Cl\u00e9ment Leroy","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Clement Leroy","raw_affiliation_strings":["Intuidoc Team, Univ Rennes, CNRS, IRISA, Rennes, France"],"affiliations":[{"raw_affiliation_string":"Intuidoc Team, Univ Rennes, CNRS, IRISA, Rennes, France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024943862","display_name":"\u00c9ric Anquetil","orcid":"https://orcid.org/0000-0002-1760-5095"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Anquetil","raw_affiliation_strings":["Intuidoc Team, Univ Rennes, CNRS, IRISA, Rennes, France"],"affiliations":[{"raw_affiliation_string":"Intuidoc Team, Univ Rennes, CNRS, IRISA, Rennes, France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107305616","display_name":"Nathalie Girard","orcid":"https://orcid.org/0000-0003-4487-8213"},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nathalie Girard","raw_affiliation_strings":["Intuidoc Team, Univ Rennes, CNRS, IRISA, Rennes, France"],"affiliations":[{"raw_affiliation_string":"Intuidoc Team, Univ Rennes, CNRS, IRISA, Rennes, France","institution_ids":["https://openalex.org/I56067802","https://openalex.org/I2802519937","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103947181"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I56067802","https://openalex.org/I2802519937"],"apc_list":null,"apc_paid":null,"fwci":0.46085324,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71552619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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":0.9915000200271606,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.8307647705078125},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.7451065182685852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725202202796936},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6578463315963745},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6408283710479736},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5155184268951416},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5051339268684387},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4975633919239044},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.49173906445503235},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.45052677392959595},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.434510737657547},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4048985242843628},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3625047206878662},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.24776485562324524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1365339457988739},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0860954225063324}],"concepts":[{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.8307647705078125},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.7451065182685852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725202202796936},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6578463315963745},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6408283710479736},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5155184268951416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051339268684387},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4975633919239044},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.49173906445503235},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.45052677392959595},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.434510737657547},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4048985242843628},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3625047206878662},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.24776485562324524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1365339457988739},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0860954225063324},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/fuzz-ieee.2019.8859000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8859000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1984935381","https://openalex.org/W2021404082","https://openalex.org/W2073256825","https://openalex.org/W2099471712","https://openalex.org/W2151863350","https://openalex.org/W2153196467","https://openalex.org/W2156601771","https://openalex.org/W2569164271","https://openalex.org/W2622360263","https://openalex.org/W2747716660","https://openalex.org/W2756444473","https://openalex.org/W2897204721","https://openalex.org/W3120740533","https://openalex.org/W4247777826","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4213201576","https://openalex.org/W2150761772","https://openalex.org/W1579870145","https://openalex.org/W2990081132","https://openalex.org/W4285549518","https://openalex.org/W2765459612","https://openalex.org/W4296984035","https://openalex.org/W4399812109","https://openalex.org/W3127121676","https://openalex.org/W3108206468"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,86,92,104,133,161],"new":[4,62,101],"architecture":[5,63,109],"of":[6,20,72,94,100],"incremental":[7,59],"fuzzy":[8],"inference":[9],"system":[10,154],"(also":[11],"called":[12,80],"Evolving":[13],"Fuzzy":[14],"System":[15],"EFS).":[16],"In":[17],"the":[18,70,76,98,140,143,152],"context":[19],"classifying":[21],"data":[22,77],"stream":[23],"in":[24,75,170],"non":[25],"stationary":[26],"environment,":[27],"concept":[28,82],"drifts":[29,121],"problems":[30],"must":[31],"be":[32],"addressed.":[33],"Several":[34],"studies":[35],"have":[36,122],"shown":[37],"that":[38],"EFS":[39,52,88,163],"can":[40],"deal":[41],"with":[42,55,91,155,160],"such":[43],"environment":[44],"thanks":[45],"to":[46,96,131,137,139],"their":[47],"high":[48],"structural":[49],"flexibility.":[50],"These":[51],"perform":[53],"well":[54],"smooth":[56],"drift":[57],"(or":[58],"drift).":[60,83],"The":[61,107,166],"we":[64],"propose":[65],"is":[66,89,110,128],"focused":[67],"on":[68,112],"improving":[69],"processing":[71],"brutal":[73,81,105,120],"changes":[74],"distribution":[78],"(often":[79],"More":[84],"precisely,":[85],"generalized":[87],"paired":[90],"module":[93],"anticipation":[95,158],"improve":[97],"adaptation":[99],"rules":[102],"after":[103],"drift.":[106],"proposed":[108,130],"evaluated":[111],"three":[113],"datasets":[114],"from":[115,164],"UCI":[116],"repository":[117],"where":[118],"artificial":[119],"been":[123],"applied.":[124],"A":[125],"fit":[126],"model":[127],"also":[129],"get":[132],"\"reactivity":[134],"time\"":[135],"needed":[136],"converge":[138],"steady-state":[141],"and":[142,156,159],"score":[144],"at":[145],"end.":[146],"Both":[147],"characteristics":[148],"are":[149],"compared":[150],"between":[151],"same":[153],"without":[157],"similar":[162],"stateof-the-art.":[165],"experiments":[167],"demonstrates":[168],"improvements":[169],"both":[171],"cases.":[172]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
