{"id":"https://openalex.org/W2097973719","doi":"https://doi.org/10.1109/tsmcb.2010.2098866","title":"Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams","display_name":"Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams","publication_year":2011,"publication_date":"2011-01-17","ids":{"openalex":"https://openalex.org/W2097973719","doi":"https://doi.org/10.1109/tsmcb.2010.2098866","mag":"2097973719","pmid":"https://pubmed.ncbi.nlm.nih.gov/21245012"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcb.2010.2098866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2010.2098866","pdf_url":null,"source":{"id":"https://openalex.org/S4210170378","display_name":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","issn_l":"1083-4419","issn":["1083-4419","1941-0492"],"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 Systems, Man, and Cybernetics, Part B (Cybernetics)","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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":true,"raw_author_name":"P. Angelov","raw_affiliation_strings":["School of Computing and Communications, Lancaster University, UK","Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, Lancaster University, UK","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Sch. of Comput. & Commun., Lancaster Univ., Lancaster, UK#TAB#","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5039480864"],"corresponding_institution_ids":["https://openalex.org/I67415387"],"apc_list":null,"apc_paid":null,"fwci":17.6099,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.99237157,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"898","last_page":"910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9922999739646912,"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":0.9911999702453613,"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/computer-science","display_name":"Computer science","score":0.7836927771568298},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7323573231697083},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.719200849533081},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.593473494052887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5636247396469116},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5191121101379395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4316192865371704},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.42972031235694885},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.4233395457267761},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.42100241780281067},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40169447660446167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836927771568298},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7323573231697083},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.719200849533081},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.593473494052887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5636247396469116},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5191121101379395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4316192865371704},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.42972031235694885},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.4233395457267761},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.42100241780281067},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40169447660446167},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsmcb.2010.2098866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcb.2010.2098866","pdf_url":null,"source":{"id":"https://openalex.org/S4210170378","display_name":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","issn_l":"1083-4419","issn":["1083-4419","1941-0492"],"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 Systems, Man, and Cybernetics, Part B (Cybernetics)","raw_type":"journal-article"},{"id":"pmid:21245012","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21245012","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society","raw_type":null},{"id":"pmh:oai:eprints.lancs.ac.uk:34372","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/34372/","pdf_url":null,"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":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G643151945","display_name":null,"funder_award_id":"EP/D077680/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W103963407","https://openalex.org/W178056938","https://openalex.org/W246763416","https://openalex.org/W319727152","https://openalex.org/W617992681","https://openalex.org/W1490891821","https://openalex.org/W1523293200","https://openalex.org/W1535260033","https://openalex.org/W1554944419","https://openalex.org/W1570834090","https://openalex.org/W1573195357","https://openalex.org/W1576818901","https://openalex.org/W1965324089","https://openalex.org/W1972471335","https://openalex.org/W2019207321","https://openalex.org/W2021347076","https://openalex.org/W2022775778","https://openalex.org/W2029174532","https://openalex.org/W2034358412","https://openalex.org/W2038418568","https://openalex.org/W2070906786","https://openalex.org/W2079325629","https://openalex.org/W2088076837","https://openalex.org/W2088494388","https://openalex.org/W2097009900","https://openalex.org/W2129013743","https://openalex.org/W2135562470","https://openalex.org/W2137602723","https://openalex.org/W2149723649","https://openalex.org/W2151863350","https://openalex.org/W2162635690","https://openalex.org/W2165691071","https://openalex.org/W2171253128","https://openalex.org/W2215168096","https://openalex.org/W3081877640","https://openalex.org/W3146863510","https://openalex.org/W3215186461","https://openalex.org/W4230325315","https://openalex.org/W4255466416","https://openalex.org/W6604216256"],"related_works":["https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W1521014365","https://openalex.org/W3208495060","https://openalex.org/W2740428142"],"abstract_inverted_index":{"A":[0],"general":[1,219],"framework":[2],"and":[3,25,35,76,91,175,178,206],"a":[4,49,82,155],"holistic":[5],"concept":[6],"are":[7],"proposed":[8],"in":[9,30,64,81,96,110,160,221],"this":[10,39,61,107,196],"paper":[11,62],"that":[12],"combine":[13],"computationally":[14,115,197],"light":[15],"machine":[16],"learning":[17,148],"from":[18,85,201],"streaming":[19],"data":[20,86,98,122,137,162,190],"with":[21],"the":[22,41,65,72,94,97,102,111,114,131,135,140,143,147,158,161,165,180,185,189],"online":[23,151,168],"identification":[24],"adaptation":[26],"of":[27,51,60,67,78,106,134,142,184,188],"dynamic":[28,83],"systems":[29,80],"regard":[31],"to":[32,38,45,93,121,139,157,209,217],"their":[33],"structure":[34,152,170],"parameters.":[36],"According":[37],"concept,":[40],"system":[42,103,169],"is":[43,63],"assumed":[44],"be":[46],"decomposable":[47],"into":[48],"set":[50],"fuzzily":[52],"connected":[53],"simple":[54,116],"local":[55],"models.":[56],"The":[57,192],"main":[58],"thrust":[59],"development":[66],"an":[68],"original":[69],"approach":[70,117],"for":[71,150,167,195],"self-design,":[73],"self-monitoring,":[74],"self-management,":[75],"self-learning":[77],"such":[79],"manner":[84],"streams":[87],"which":[88],"automatically":[89],"detect":[90],"react":[92],"shift":[95,159],"distribution":[99],"by":[100,125],"evolving":[101,119,127],"structure.":[104],"Novelties":[105],"contribution":[108],"lie":[109],"following:":[112],"1)":[113],"(simpl_e_Clustering-simplified":[118],"Clustering)":[120],"space":[123],"partitioning":[124],"recursive":[126],"clustering":[128],"based":[129,172],"on":[130,173],"relative":[132],"position":[133],"new":[136],"sample":[138],"mean":[141],"overall":[144],"data,":[145],"2)":[146],"technique":[149,199],"evolution":[153,187],"as":[154],"reaction":[156],"distribution,":[163],"3)":[164],"method":[166],"simplification":[171],"utility":[174],"inputs/feature":[176],"selection,":[177],"4)":[179],"novel":[181],"graphical":[182],"illustration":[183],"spatiotemporal":[186],"stream.":[191],"application":[193,223],"domain":[194],"efficient":[198],"ranges":[200],"clustering,":[202],"modeling,":[203],"prognostics,":[204],"classification,":[205],"time-series":[207],"prediction":[208],"pattern":[210],"recognition,":[211],"image":[212],"segmentation,":[213],"vector":[214],"quantization,":[215],"etc.,":[216],"more":[218],"problems":[220],"various":[222],"areas,":[224],"e.g.,":[225],"intelligent":[226],"sensors,":[227],"mobile":[228],"robotics,":[229],"advanced":[230],"manufacturing":[231],"processes,":[232],"etc.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":10}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
