{"id":"https://openalex.org/W2592207512","doi":"https://doi.org/10.3233/jifs-16799","title":"A fast learning method for data-driven design of interval type-2 fuzzy logic system","display_name":"A fast learning method for data-driven design of interval type-2 fuzzy logic system","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2592207512","doi":"https://doi.org/10.3233/jifs-16799","mag":"2592207512"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-16799","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-16799","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & 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/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":true,"raw_author_name":"Chengdong Li","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050638709","display_name":"Guiqing Zhang","orcid":"https://orcid.org/0000-0001-6547-9049"},"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":"Guiqing Zhang","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, 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/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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Yi","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073741045","display_name":"Fang Shang","orcid":"https://orcid.org/0000-0003-0801-926X"},"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":"Fang Shang","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102508721","display_name":"Junlong Gao","orcid":"https://orcid.org/0009-0008-6579-5330"},"institutions":[{"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlong Gao","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5023987464"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":1.1701,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83525083,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"3","first_page":"2705","last_page":"2715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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":0.9848999977111816,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6459000706672668},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6248427629470825},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6187468767166138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5958136320114136},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.5822941064834595},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4934441149234772},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.49227944016456604},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4770697355270386},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.46037986874580383},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45692160725593567},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.44354015588760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4186094105243683},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.343513548374176},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.34132474660873413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3308145999908447}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6459000706672668},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6248427629470825},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6187468767166138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5958136320114136},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.5822941064834595},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4934441149234772},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.49227944016456604},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4770697355270386},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.46037986874580383},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45692160725593567},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.44354015588760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4186094105243683},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.343513548374176},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.34132474660873413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3308145999908447},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-16799","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-16799","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1964400613","https://openalex.org/W1977230515","https://openalex.org/W1980868242","https://openalex.org/W1982679298","https://openalex.org/W1982736658","https://openalex.org/W1984643425","https://openalex.org/W2003756933","https://openalex.org/W2019207321","https://openalex.org/W2025941315","https://openalex.org/W2038289871","https://openalex.org/W2039306928","https://openalex.org/W2052188750","https://openalex.org/W2053036794","https://openalex.org/W2056646884","https://openalex.org/W2057683924","https://openalex.org/W2060302943","https://openalex.org/W2062494478","https://openalex.org/W2062705596","https://openalex.org/W2065372688","https://openalex.org/W2067521002","https://openalex.org/W2072506331","https://openalex.org/W2078094465","https://openalex.org/W2082425819","https://openalex.org/W2082625436","https://openalex.org/W2084072817","https://openalex.org/W2090794980","https://openalex.org/W2099556912","https://openalex.org/W2105234323","https://openalex.org/W2109816400","https://openalex.org/W2116046819","https://openalex.org/W2129013743","https://openalex.org/W2131264513","https://openalex.org/W2134961275","https://openalex.org/W2135571382","https://openalex.org/W2135849563","https://openalex.org/W2136340804","https://openalex.org/W2141178894","https://openalex.org/W2147598563","https://openalex.org/W2150879558","https://openalex.org/W2151614844","https://openalex.org/W2162706466","https://openalex.org/W2296004723","https://openalex.org/W2338514232","https://openalex.org/W2405883216","https://openalex.org/W2913642042","https://openalex.org/W4247749894"],"related_works":["https://openalex.org/W647390320","https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W4388451300","https://openalex.org/W2571050636","https://openalex.org/W2060361571","https://openalex.org/W1975005191","https://openalex.org/W3176863924","https://openalex.org/W2024822381","https://openalex.org/W2120718841"],"abstract_inverted_index":{"In":[0,21],"this":[1,119],"study,":[2],"we":[3,28],"propose":[4],"a":[5,30,149],"novel":[6],"fast":[7,146],"learning":[8,26,46,154],"data-driven":[9],"method":[10,44,152],"for":[11,98,158],"the":[12,25,35,38,41,50,66,72,82,94,110,115,121,124,132,159,162,191,196],"design":[13],"of":[14,37,114,123,161,195],"interval":[15],"type-2":[16,95],"fuzzy":[17,60,69,75,96,106,112],"logic":[18,61],"system":[19],"(IT2FLS).":[20],"order":[22],"to":[23,33,48,92,137],"accelerate":[24],"speed,":[27,148],"present":[29],"parallel":[31],"mechanism":[32],"generate":[34],"antecedents":[36,122],"IT2FLS":[39,125],"and":[40,128,145,169,175,186,193],"least":[42,150],"square":[43,151],"based":[45,153],"algorithm":[47,155],"optimize":[49],"consequents.":[51],"Firstly,":[52],"driven":[53],"by":[54],"different":[55],"sub-data":[56],"sets,":[57],"corresponding":[58,104],"type-1":[59,105,111],"systems":[62],"(T1FLSs)":[63],"which":[64],"have":[65,189],"same":[67,73],"initial":[68,74],"partition":[70,97],"(thus":[71],"rule":[76],"base)":[77],"are":[78,126,173,183],"parallelly":[79],"obtained":[80],"through":[81,102],"popular":[83],"ANFIS":[84],"method.":[85,198],"Then,":[86],"an":[87],"ensembling":[88],"strategy":[89],"is":[90,156],"proposed":[91,197],"form":[93],"each":[99],"input":[100],"variable":[101],"merging":[103],"sets":[107],"(T1FSs)":[108],"in":[109],"partitions":[113],"learned":[116],"T1FLSs.":[117],"By":[118],"strategy,":[120],"determined":[127],"then":[129],"fixed,":[130],"however,":[131],"consequent":[133,163],"parameters":[134],"still":[135],"need":[136],"be":[138],"optimized.":[139],"To":[140],"achieve":[141],"both":[142],"excellent":[143],"performance":[144],"training":[147],"provided":[157],"optimization":[160],"parameters.":[164],"Finally,":[165],"three":[166],"benchmark":[167],"problems":[168],"one":[170],"real-world":[171],"application":[172],"given,":[174],"detailed":[176],"comparisons":[177],"with":[178],"some":[179],"well":[180],"performed":[181],"methods":[182],"made.":[184],"Simulation":[185],"comparison":[187],"results":[188],"verified":[190],"effectiveness":[192],"superiorities":[194]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}