{"id":"https://openalex.org/W2786278912","doi":"https://doi.org/10.3233/jifs-171348","title":"Data-driven design of the extended fuzzy neural network having linguistic outputs","display_name":"Data-driven design of the extended fuzzy neural network having linguistic outputs","publication_year":2018,"publication_date":"2018-01-12","ids":{"openalex":"https://openalex.org/W2786278912","doi":"https://doi.org/10.3233/jifs-171348","mag":"2786278912"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-171348","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-171348","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"],"raw_orcid":null,"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/A5039262688","display_name":"Zixiang Ding","orcid":"https://orcid.org/0000-0002-5902-9073"},"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":"Zixiang Ding","raw_affiliation_strings":["School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"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/A5043490720","display_name":"Dianwei Qian","orcid":"https://orcid.org/0000-0001-7153-7997"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dianwei Qian","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076992681","display_name":"Yisheng Lv","orcid":"https://orcid.org/0000-0002-7565-4979"},"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":"Yisheng Lv","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China","E-mail:"],"raw_orcid":null,"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":4,"corresponding_author_ids":["https://openalex.org/A5023987464"],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":2.1294,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89980861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"1","first_page":"349","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T12676","display_name":"Machine Learning and ELM","score":0.9959999918937683,"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":0.995199978351593,"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":0.6280516982078552},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6032123565673828},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5779597759246826},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5496106147766113},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5466400384902954},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5094190239906311},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4967568516731262},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40569937229156494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39433762431144714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37939950823783875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280516982078552},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6032123565673828},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5779597759246826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5496106147766113},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5466400384902954},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5094190239906311},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4967568516731262},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40569937229156494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39433762431144714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37939950823783875},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-171348","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-171348","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W179611734","https://openalex.org/W564030374","https://openalex.org/W1590762254","https://openalex.org/W1931516414","https://openalex.org/W1964400613","https://openalex.org/W1986935580","https://openalex.org/W1991377734","https://openalex.org/W1999482631","https://openalex.org/W2001714576","https://openalex.org/W2002144348","https://openalex.org/W2019207321","https://openalex.org/W2025941315","https://openalex.org/W2031299410","https://openalex.org/W2049372989","https://openalex.org/W2049500727","https://openalex.org/W2052188750","https://openalex.org/W2057683924","https://openalex.org/W2062746990","https://openalex.org/W2066269320","https://openalex.org/W2073782729","https://openalex.org/W2082625436","https://openalex.org/W2088447802","https://openalex.org/W2090794980","https://openalex.org/W2103518983","https://openalex.org/W2106127254","https://openalex.org/W2152623177","https://openalex.org/W2158958729","https://openalex.org/W2167159964","https://openalex.org/W2263928265","https://openalex.org/W2301541953","https://openalex.org/W2327397054","https://openalex.org/W2398851267","https://openalex.org/W2512153427","https://openalex.org/W2533807209","https://openalex.org/W2559820313","https://openalex.org/W2560909473","https://openalex.org/W2580410667","https://openalex.org/W2763500568","https://openalex.org/W3125770512","https://openalex.org/W4211007335"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W1212596013","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W4229439743","https://openalex.org/W2185258871"],"abstract_inverted_index":{"In":[0],"many":[1],"data-driven":[2,88,104,201],"modeling,":[3,249],"prediction":[4,214,219,250],"or":[5],"identification":[6,252],"applications":[7,203],"to":[8,29,62,67,79,82,93,125,160,169,204],"unknown":[9],"systems,":[10],"linguistic":[11,64,84,192,227],"(fuzzy)":[12],"results":[13,24,223],"described":[14,25],"by":[15,26,149],"fuzzy":[16,43,80,140,167,181],"sets":[17,182],"are":[18,147,220],"more":[19],"preferable":[20],"than":[21],"the":[22,30,36,40,60,74,117,127,131,135,138,143,150,155,162,165,171,174,179,184,187,191,196,200,205,210,216,226,232,237],"crisp":[23,54,69,75],"numbers":[27],"owing":[28],"uncertainties":[31,233,255],"and/or":[32,234,256],"noises":[33,235,257],"existed":[34],"in":[35,142,236],"observed":[37,238],"data.":[38,239],"On":[39],"other":[41],"hand,":[42],"neural":[44],"network":[45],"(FNN)":[46],"provides":[47,241],"a":[48,87,110,243],"powerful":[49],"tool":[50,246],"for":[51,247],"providing":[52],"accurate":[53],"results,":[55],"but":[56],"does":[57],"not":[58],"have":[59],"ability":[61],"achieve":[63,170],"outputs":[65,228],"due":[66],"its":[68],"weights.":[70],"This":[71],"study":[72],"extends":[73],"weights":[76,141,168],"of":[77,97,130,137,164,173,178,186,190],"FNN":[78,100,113],"ones":[81],"obtain":[83],"outputs.":[85,193],"And,":[86],"design":[89],"method":[90,105,119],"is":[91,114,123,158],"proposed":[92,103,197],"construct":[94],"this":[95],"kind":[96],"fuzzily":[98],"weighted":[99],"(FW-FNN).":[101],"The":[102],"includes":[106],"four":[107],"steps.":[108],"Firstly,":[109],"fully":[111],"connected":[112],"generated.":[115],"Then,":[116],"SVD-QR":[118],"based":[120],"pruning":[121],"strategy":[122],"presented":[124],"realize":[126],"structure":[128,144],"reduction":[129],"initial":[132],"FW-FNN.":[133],"Thirdly,":[134],"centers":[136],"Gaussian":[139,166],"reduced":[145],"FW-FNN":[146,198],"learned":[148],"least":[151],"square":[152],"method.":[153],"Fourthly,":[154],"multi-objective":[156],"algorithm":[157],"utilized":[159],"optimize":[161],"widths":[163],"maximum":[172],"average":[175],"membership":[176],"grades":[177],"output":[180],"and":[183,199,215,251],"minimum":[185],"coverage":[188],"intervals":[189],"To":[194],"evaluate":[195],"method,":[202],"nonlinear":[206],"dynamic":[207],"system":[208,248],"identification,":[209],"chaotic":[211],"time":[212],"series":[213],"traffic":[217],"flow":[218],"given.":[221],"Simulation":[222],"demonstrate":[224],"that":[225],"can":[229],"effectively":[230],"capture":[231],"It":[240],"us":[242],"very":[244],"useful":[245],"especially":[253],"when":[254],"should":[258],"be":[259],"taken":[260],"into":[261],"account.":[262]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}