{"id":"https://openalex.org/W3018119790","doi":"https://doi.org/10.1109/tfuzz.2020.2988845","title":"Online Fuzzy Cognitive Map Learning","display_name":"Online Fuzzy Cognitive Map Learning","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3018119790","doi":"https://doi.org/10.1109/tfuzz.2020.2988845","mag":"3018119790"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2020.2988845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.2988845","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","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/A5037706636","display_name":"Kai Wu","orcid":"https://orcid.org/0000-0002-1852-6364"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1852-6364","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375038","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-6834-5350"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6834-5350","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645402","display_name":"Penghui Liu","orcid":"https://orcid.org/0000-0003-4928-6874"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penghui Liu","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-4928-6874","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011477215","display_name":"Fang Shen","orcid":"https://orcid.org/0000-0002-1988-9714"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Shen","raw_affiliation_strings":["School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1988-9714","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.8253,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.88288858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"29","issue":"7","first_page":"1885","last_page":"1898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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":0.7891724109649658},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.7871918082237244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6293898224830627},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5979825258255005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5911722183227539},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43967029452323914},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4233788847923279},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4129383862018585},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.28836745023727417},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.2299206554889679}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7891724109649658},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.7871918082237244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6293898224830627},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5979825258255005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5911722183227539},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43967029452323914},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4233788847923279},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4129383862018585},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.28836745023727417},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.2299206554889679},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2020.2988845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.2988845","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W227275893","https://openalex.org/W1459085915","https://openalex.org/W1788809966","https://openalex.org/W1830414380","https://openalex.org/W1967034721","https://openalex.org/W1986688807","https://openalex.org/W2000359198","https://openalex.org/W2010871295","https://openalex.org/W2012026701","https://openalex.org/W2015705737","https://openalex.org/W2023348596","https://openalex.org/W2024826298","https://openalex.org/W2027266048","https://openalex.org/W2031535420","https://openalex.org/W2031604000","https://openalex.org/W2034669994","https://openalex.org/W2036990940","https://openalex.org/W2041000279","https://openalex.org/W2047755165","https://openalex.org/W2066031679","https://openalex.org/W2073548282","https://openalex.org/W2074694452","https://openalex.org/W2081232506","https://openalex.org/W2086400377","https://openalex.org/W2095224843","https://openalex.org/W2096199223","https://openalex.org/W2121657501","https://openalex.org/W2122879929","https://openalex.org/W2127025275","https://openalex.org/W2129588477","https://openalex.org/W2137947700","https://openalex.org/W2143459909","https://openalex.org/W2148605346","https://openalex.org/W2157121418","https://openalex.org/W2266332649","https://openalex.org/W2312599005","https://openalex.org/W2520865593","https://openalex.org/W2562002569","https://openalex.org/W2566248507","https://openalex.org/W2612413108","https://openalex.org/W2749453371","https://openalex.org/W2765806132","https://openalex.org/W2769949722","https://openalex.org/W2783900568","https://openalex.org/W2798415747","https://openalex.org/W2800476509","https://openalex.org/W2802161886","https://openalex.org/W2848686488","https://openalex.org/W2898221662","https://openalex.org/W2905772656","https://openalex.org/W2927723731","https://openalex.org/W2945581919","https://openalex.org/W2946504904","https://openalex.org/W2969896163","https://openalex.org/W2979534234","https://openalex.org/W2989728273","https://openalex.org/W2994169213","https://openalex.org/W3008702988","https://openalex.org/W3017285694","https://openalex.org/W3103140637","https://openalex.org/W4285719527","https://openalex.org/W6608954586","https://openalex.org/W6638443938","https://openalex.org/W6638826566"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2991207020","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370"],"abstract_inverted_index":{"The":[0,16,141,163],"fuzzy":[1],"cognitive":[2],"map":[3],"(FCM)":[4],"is":[5,29,49,69,145],"an":[6,114,120],"effective":[7,121],"tool":[8],"for":[9],"modeling":[10],"and":[11,43,76,86,104,117,156],"simulating":[12],"complex":[13,90],"dynamic":[14],"systems.":[15,91],"research":[17],"on":[18,124,147],"the":[19,25,44,65,82,96,110,133,167],"problem":[20],"of":[21,46,84,89,143,169],"learning":[22,34,99,112,129,136,177],"FCM":[23,33,111,135,176],"from":[24],"available":[26],"time":[27],"series":[28],"outstanding.":[30],"Many":[31],"batch":[32,98],"methods":[35,48,54],"have":[36],"been":[37],"proposed":[38],"to":[39,57,72,81,113,131],"address":[40,132],"this":[41,93],"issue":[42],"performance":[45,142],"these":[47,52],"satisfactory.":[50],"However,":[51],"batch-learning":[53],"are":[55],"difficult":[56],"cope":[58],"with":[59],"large-scale":[60],"data":[61,150,154,161],"sets":[62],"(for":[63],"example,":[64],"memory":[66],"in":[67],"computers":[68],"not":[70],"enough":[71],"store":[73],"all":[74],"instances)":[75],"real-time":[77,85],"streaming":[78],"data,":[79],"leading":[80],"failure":[83],"online":[87,115,134,175],"analysis":[88],"In":[92],"article,":[94],"unlike":[95],"existing":[97],"methods,":[100,106],"such":[101],"as":[102,139],"evolutionary":[103],"regression-based":[105],"we":[107],"first":[108],"extend":[109],"setting,":[116],"then":[118],"develop":[119],"algorithm":[122,130],"based":[123],"a":[125],"follow-the-regularized-leader":[126],"(FTRL)-proximal":[127],"style":[128],"problem,":[137],"termed":[138],"OFCM.":[140],"OFCM":[144],"validated":[146],"constructed":[148],"benchmark":[149],"sets,":[151,155],"including":[152],"synthetic":[153],"gene":[157],"regulatory":[158],"network":[159],"reconstruction":[160],"sets.":[162],"experimental":[164],"results":[165],"demonstrate":[166],"merits":[168],"OFCM,":[170],"which":[171],"can":[172],"effectively":[173],"solve":[174],"problems.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
