{"id":"https://openalex.org/W2953087912","doi":"https://doi.org/10.1109/jas.2019.1911543","title":"A hybrid learning method for the data-driven design of linguistic dynamic systems","display_name":"A hybrid learning method for the data-driven design of linguistic dynamic systems","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W2953087912","doi":"https://doi.org/10.1109/jas.2019.1911543","mag":"2953087912"},"language":"en","primary_location":{"id":"doi:10.1109/jas.2019.1911543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2019.1911543","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","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/A5023987464","display_name":"Chengdong Li","orcid":"https://orcid.org/0000-0002-9680-3523"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengdong Li","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541846","display_name":"Jianqiang Yi","orcid":"https://orcid.org/0000-0003-3268-9482"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Yi","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076992681","display_name":"Yisheng Lv","orcid":"https://orcid.org/0000-0002-7565-4979"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisheng Lv","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing 100190, and also with Qingdao Academy of Intelligent Industries, Qingdao 266109, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing 100190, and also with Qingdao Academy of Intelligent Industries, Qingdao 266109, China","institution_ids":["https://openalex.org/I4210112270","https://openalex.org/I4210112150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083815344","display_name":"Peiyong Duan","orcid":"https://orcid.org/0000-0003-4283-4049"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyong Duan","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250014, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81986353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"6","issue":"6","first_page":"1487","last_page":"1498"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9937000274658203,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6769140362739563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109155416488647},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6059252023696899},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5610057711601257},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5147852897644043},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.44873154163360596},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4297787547111511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4188712537288666},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4129171073436737},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39288878440856934},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.35912221670150757},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.29554814100265503}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6769140362739563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109155416488647},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6059252023696899},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5610057711601257},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5147852897644043},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.44873154163360596},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4297787547111511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4188712537288666},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4129171073436737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39288878440856934},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.35912221670150757},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.29554814100265503},{"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/jas.2019.1911543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jas.2019.1911543","pdf_url":null,"source":{"id":"https://openalex.org/S2484288132","display_name":"IEEE/CAA Journal of Automatica Sinica","issn_l":"2329-9266","issn":["2329-9266","2329-9274"],"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/CAA Journal of Automatica Sinica","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1542813816","https://openalex.org/W1570834090","https://openalex.org/W1595498733","https://openalex.org/W1787190784","https://openalex.org/W1950375490","https://openalex.org/W1995075721","https://openalex.org/W2036785686","https://openalex.org/W2049777773","https://openalex.org/W2052188750","https://openalex.org/W2053260168","https://openalex.org/W2064469609","https://openalex.org/W2080595353","https://openalex.org/W2082625436","https://openalex.org/W2126105956","https://openalex.org/W2151706911","https://openalex.org/W2157162218","https://openalex.org/W2165094119","https://openalex.org/W2333084991","https://openalex.org/W2383758418","https://openalex.org/W2546809005","https://openalex.org/W2555620376","https://openalex.org/W2559820313","https://openalex.org/W2580410667","https://openalex.org/W2592207512","https://openalex.org/W2650555469","https://openalex.org/W2753679949","https://openalex.org/W2754369820","https://openalex.org/W2763500568","https://openalex.org/W2785367375","https://openalex.org/W2917025994","https://openalex.org/W2944692378","https://openalex.org/W3145351603"],"related_works":["https://openalex.org/W2253053392","https://openalex.org/W2024822381","https://openalex.org/W1980652001","https://openalex.org/W2083957705","https://openalex.org/W2098561053","https://openalex.org/W2114438081","https://openalex.org/W3019040395","https://openalex.org/W912543597","https://openalex.org/W2155303449","https://openalex.org/W1599286256"],"abstract_inverted_index":{"In":[0,19],"lots":[1],"of":[2,42,126,128,151,171,174,178,184,225],"data":[3,15,196,221],"based":[4],"prediction":[5,166,170,183,214],"or":[6,38,215],"modeling":[7,216],"applications,":[8],"uncertainties":[9,193],"and/or":[10],"noises":[11],"in":[12,134,194,218],"the":[13,43,103,117,129,135,146,152,179,185,192,195,202],"observed":[14,72,220],"cannot":[16],"be":[17,89,198,209],"avoided.":[18],"such":[20],"cases,":[21],"it":[22,63],"is":[23,64,99,160],"more":[24],"preferable":[25],"and":[26,138,148,182],"reasonable":[27],"to":[28,67,101,144,163,211],"provide":[29],"linguistic":[30,59,203],"(fuzzy)":[31,60,204],"predicted":[32],"results":[33,189],"described":[34],"by":[35,47,91,116,201],"fuzzy":[36,39,114,132,136,155],"memberships":[37],"sets":[40,133],"instead":[41],"crisp":[44],"estimates":[45],"depicted":[46],"numbers.":[48],"Linguistic":[49],"dynamic":[50],"system":[51],"(LDS)":[52],"provides":[53],"a":[54,82,95,175],"powerful":[55],"tool":[56],"for":[57],"yielding":[58],"results.":[61],"However,":[62],"still":[65],"difficult":[66],"construct":[68,102],"LDS":[69,84,105],"models":[70],"from":[71],"data.":[73],"To":[74],"solve":[75],"this":[76,78],"issue,":[77],"paper":[79],"first":[80],"presents":[81],"simplified":[83],"whose":[85],"inputoutput":[86],"mapping":[87],"can":[88,197,207],"determined":[90],"closed-form":[92],"formulas.":[93],"Then,":[94],"hybrid":[96,109],"learning":[97,110],"method":[98,111],"proposed":[100,108,158],"data-driven":[104],"model.":[106],"The":[107,157],"firstly":[112],"generates":[113],"rules":[115],"subtractive":[118],"clustering":[119],"method,":[120],"then":[121],"carries":[122],"out":[123],"further":[124],"optimization":[125,142],"centers":[127],"consequent":[130,153],"triangular":[131,154],"rules,":[137],"finally":[139],"adopts":[140],"multiobjective":[141],"algorithm":[143],"determine":[145],"left":[147],"right":[149],"end-points":[150],"sets.":[156],"approach":[159],"successfully":[161],"applied":[162],"three":[164],"real-world":[165],"applications":[167],"which":[168,219],"are:":[169],"energy":[172],"consumption":[173],"building,":[176],"forecasting":[177],"traffic":[180],"flow,":[181],"wind":[186],"speed.":[187],"Simulation":[188],"show":[190],"that":[191],"effectively":[199],"captured":[200],"estimates.":[205],"It":[206],"also":[208],"extended":[210],"some":[212],"other":[213],"problems,":[217],"have":[222],"high":[223],"levels":[224],"uncertainties.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}