{"id":"https://openalex.org/W2105109747","doi":"https://doi.org/10.1109/fuzzy.2011.6007452","title":"Fuzzy granular evolving modeling for time series prediction","display_name":"Fuzzy granular evolving modeling for time series prediction","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2105109747","doi":"https://doi.org/10.1109/fuzzy.2011.6007452","mag":"2105109747"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","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/A5036934193","display_name":"Daniel Leite","orcid":"https://orcid.org/0000-0003-3135-2933"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Daniel Leite","raw_affiliation_strings":["School of Electrical and Computer Engineering, State University of Campinas-UNICAMP, Sao Paulo, Brazil","School of Electrical and Computer Engineering, University of Campinas, Campinas \u2013 SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, State University of Campinas-UNICAMP, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Campinas, Campinas \u2013 SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009222136","display_name":"Fernando Gomide","orcid":"https://orcid.org/0000-0001-5716-4282"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando Gomide","raw_affiliation_strings":["School of Electrical and Computer Engineering, State University of Campinas-UNICAMP, Sao Paulo, Brazil","School of Electrical and Computer Engineering, University of Campinas, Campinas \u2013 SP, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, State University of Campinas-UNICAMP, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Campinas, Campinas \u2013 SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070671093","display_name":"Ros\u00e2ngela Ballini","orcid":"https://orcid.org/0000-0001-6683-4380"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rosangela Ballini","raw_affiliation_strings":["Institute of Economics, State University of Campinas-UNICAMP, Sao Paulo, Brazil","Institute of Economics, University of Campinas, Campinas, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Economics, State University of Campinas-UNICAMP, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]},{"raw_affiliation_string":"Institute of Economics, University of Campinas, Campinas, SP, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001921783","display_name":"Pyramo Costa","orcid":"https://orcid.org/0000-0002-1796-0249"},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pyramo Costa","raw_affiliation_strings":["Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I170935008"]},{"raw_affiliation_string":"Graduate Program in Electrical Engineering, Pontifical Catholic University of Minas Gerais, Belo Horizonte, MG, Brazil#TAB#","institution_ids":["https://openalex.org/I170935008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036934193"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":4.2758,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94366655,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2794","last_page":"2801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9990000128746033,"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":0.9990000128746033,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7522642612457275},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.730204164981842},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.535892128944397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5273321866989136},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5186620950698853},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5172110795974731},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.495745986700058},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.46597692370414734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46564921736717224},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4562053680419922},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4410538971424103},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.43710795044898987},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.41425979137420654},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.2851489186286926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522642612457275},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.730204164981842},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.535892128944397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5273321866989136},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5186620950698853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5172110795974731},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.495745986700058},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.46597692370414734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46564921736717224},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4562053680419922},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4410538971424103},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.43710795044898987},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.41425979137420654},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.2851489186286926},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320323732","display_name":"Companhia Energ\u00e9tica de Minas Gerais","ror":"https://ror.org/02kbrsj34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W781485535","https://openalex.org/W1530407533","https://openalex.org/W1550294122","https://openalex.org/W1554443300","https://openalex.org/W1572161815","https://openalex.org/W1947957290","https://openalex.org/W1975866328","https://openalex.org/W1996162276","https://openalex.org/W1996340840","https://openalex.org/W2003459479","https://openalex.org/W2004525121","https://openalex.org/W2071271882","https://openalex.org/W2082373725","https://openalex.org/W2085029196","https://openalex.org/W2085629944","https://openalex.org/W2094603430","https://openalex.org/W2094631910","https://openalex.org/W2101036899","https://openalex.org/W2105234323","https://openalex.org/W2112948115","https://openalex.org/W2113072005","https://openalex.org/W2114010478","https://openalex.org/W2114865067","https://openalex.org/W2114883321","https://openalex.org/W2116818985","https://openalex.org/W2123998235","https://openalex.org/W2124065547","https://openalex.org/W2125631815","https://openalex.org/W2128251760","https://openalex.org/W2132885717","https://openalex.org/W2136340804","https://openalex.org/W2138754805","https://openalex.org/W2140791452","https://openalex.org/W2144614323","https://openalex.org/W2148114066","https://openalex.org/W2151863350","https://openalex.org/W2152954632","https://openalex.org/W2153676086","https://openalex.org/W2153906985","https://openalex.org/W2155356103","https://openalex.org/W2159265133","https://openalex.org/W2162635690","https://openalex.org/W2170104456","https://openalex.org/W2313953460","https://openalex.org/W2618970890","https://openalex.org/W3104471247","https://openalex.org/W3124661333","https://openalex.org/W3141341243","https://openalex.org/W3146863510","https://openalex.org/W4232823639","https://openalex.org/W4248816015"],"related_works":["https://openalex.org/W2350522004","https://openalex.org/W2370755174","https://openalex.org/W2377101006","https://openalex.org/W2187139637","https://openalex.org/W2350247864","https://openalex.org/W2112263672","https://openalex.org/W1660791202","https://openalex.org/W2259668827","https://openalex.org/W2085182244","https://openalex.org/W2100732567"],"abstract_inverted_index":{"Modeling":[0],"large":[1],"volumes":[2],"of":[3,13,33,48,87,93],"flowing":[4],"data":[5,73,89,109],"from":[6,27,65],"complex":[7],"systems":[8,34],"motivates":[9],"rethinking":[10],"several":[11],"aspects":[12],"the":[14,45,112],"machine":[15],"learning":[16,64],"theory.":[17],"Data":[18],"stream":[19],"mining":[20],"is":[21,81],"concerned":[22],"with":[23,96,105],"extracting":[24],"structured":[25],"knowledge":[26],"spatio-temporally":[28],"correlated":[29],"data.":[30,67],"A":[31],"profusion":[32],"and":[35,90,99],"algorithms":[36],"devoted":[37],"to":[38,76,83],"this":[39],"end":[40],"has":[41],"been":[42],"constructed":[43],"under":[44],"conceptual":[46],"framework":[47],"granular":[49,58],"computing.":[50],"This":[51],"paper":[52],"outlines":[53],"a":[54],"fuzzy":[55],"set":[56],"based":[57],"evolving":[59,79],"modeling":[60,71],"FBeM":[61,113],"approach":[62,114],"for":[63],"imprecise":[66],"Granulation":[68],"arises":[69],"because":[70],"uncertain":[72],"dispenses":[74],"attention":[75],"details.":[77],"The":[78],"aspect":[80],"fundamental":[82],"account":[84],"endless":[85],"flows":[86],"nonstationary":[88],"structural":[91],"adaptation":[92],"models.":[94],"Experiments":[95],"classic":[97],"Box-Jenkins":[98],"Mackey-Glass":[100],"benchmarks":[101],"as":[102,104],"well":[103],"actual":[106],"Global40":[107],"bond":[108],"suggest":[110],"that":[111],"outperforms":[115],"alternative":[116],"approaches.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
