{"id":"https://openalex.org/W2993201754","doi":"https://doi.org/10.1109/tfuzz.2019.2956903","title":"Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation","display_name":"Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation","publication_year":2019,"publication_date":"2019-12-03","ids":{"openalex":"https://openalex.org/W2993201754","doi":"https://doi.org/10.1109/tfuzz.2019.2956903","mag":"2993201754"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2019.2956903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2956903","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/A5034807504","display_name":"Seok-Beom Roh","orcid":"https://orcid.org/0000-0001-7277-6869"},"institutions":[{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seok-Beom Roh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, University of Suwon, Hwaseong-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7277-6869","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, University of Suwon, Hwaseong-si, South Korea","institution_ids":["https://openalex.org/I16764540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035932097","display_name":"Sung\u2010Kwun Oh","orcid":"https://orcid.org/0000-0001-6798-8955"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]},{"id":"https://openalex.org/I16764540","display_name":"University of Suwon","ror":"https://ror.org/03ysk5e42","country_code":"KR","type":"education","lineage":["https://openalex.org/I16764540"]}],"countries":["CN","KR"],"is_corresponding":false,"raw_author_name":"Sung-Kwun Oh","raw_affiliation_strings":["Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi, China","School of Electrical and Electronic Engineering, University of Suwon, Hwaseong-si, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6798-8955","affiliations":[{"raw_affiliation_string":"Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi, China","institution_ids":["https://openalex.org/I15823474"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, University of Suwon, Hwaseong-si, South Korea","institution_ids":["https://openalex.org/I16764540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CA","PL","SA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada","Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074686535","display_name":"Zunwei Fu","orcid":"https://orcid.org/0000-0001-9109-4142"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zunwei Fu","raw_affiliation_strings":["Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi, China"],"raw_orcid":"https://orcid.org/0000-0001-9109-4142","affiliations":[{"raw_affiliation_string":"Research Center for Big Data and Artificial Intelligence, Linyi University, Linyi, China","institution_ids":["https://openalex.org/I15823474"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5034807504"],"corresponding_institution_ids":["https://openalex.org/I16764540"],"apc_list":null,"apc_paid":null,"fwci":0.4335,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73186768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"29","issue":"3","first_page":"569","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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":0.998199999332428,"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/linear-subspace","display_name":"Linear subspace","score":0.7050729990005493},{"id":"https://openalex.org/keywords/decision-boundary","display_name":"Decision boundary","score":0.5702294111251831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5382705926895142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222933292388916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49195143580436707},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.491044282913208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46355190873146057},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.45493656396865845},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.42336422204971313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4105326533317566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3328055143356323},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.20415419340133667}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7050729990005493},{"id":"https://openalex.org/C42023084","wikidata":"https://www.wikidata.org/wiki/Q5249231","display_name":"Decision boundary","level":3,"score":0.5702294111251831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5382705926895142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222933292388916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49195143580436707},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.491044282913208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46355190873146057},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.45493656396865845},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.42336422204971313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4105326533317566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3328055143356323},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.20415419340133667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2019.2956903","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2956903","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":[{"display_name":"Peace, Justice and strong institutions","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3150708922","display_name":null,"funder_award_id":"NRF-2018R1D1A1B07051331","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"},{"id":"https://openalex.org/G8979422677","display_name":null,"funder_award_id":"NRF-2017R1D1A1B03032333","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W94523489","https://openalex.org/W180210362","https://openalex.org/W1181965167","https://openalex.org/W1246301972","https://openalex.org/W1565746575","https://openalex.org/W1570448133","https://openalex.org/W1570834090","https://openalex.org/W1934727243","https://openalex.org/W1947957290","https://openalex.org/W1964892656","https://openalex.org/W1967165756","https://openalex.org/W1989665358","https://openalex.org/W1995436378","https://openalex.org/W2004575852","https://openalex.org/W2014660138","https://openalex.org/W2019207321","https://openalex.org/W2026131661","https://openalex.org/W2050797895","https://openalex.org/W2054366147","https://openalex.org/W2061036845","https://openalex.org/W2100811108","https://openalex.org/W2103414828","https://openalex.org/W2117946510","https://openalex.org/W2128539603","https://openalex.org/W2135106139","https://openalex.org/W2135293965","https://openalex.org/W2142531338","https://openalex.org/W2182722412","https://openalex.org/W2294395373","https://openalex.org/W2345155423","https://openalex.org/W2477929851","https://openalex.org/W2491917391","https://openalex.org/W2612154405","https://openalex.org/W2738051834","https://openalex.org/W2906135914","https://openalex.org/W4249601105","https://openalex.org/W6633774736","https://openalex.org/W6680272842"],"related_works":["https://openalex.org/W2391321755","https://openalex.org/W2896134808","https://openalex.org/W3103861421","https://openalex.org/W4211228991","https://openalex.org/W2949110394","https://openalex.org/W2353790329","https://openalex.org/W1979504938","https://openalex.org/W2166810599","https://openalex.org/W2106235829","https://openalex.org/W1517085616"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"(NNs)":[2],"with":[3,179,212,274],"least":[4],"square":[5],"error":[6],"(LSE)":[7],"estimation":[8,194,200],"form":[9,160],"a":[10,100,230],"certain":[11],"type":[12],"of":[13,22,31,59,73,80,87,152,196,204,277],"single":[14,231],"hidden":[15,32,66,74,91],"layer":[16,92],"feed-forward":[17],"NNs.":[18],"In":[19,108],"this":[20,106],"class":[21],"networks,":[23],"the":[24,29,48,53,60,65,70,78,85,90,95,131,143,161,166,171,180,186,191,198,202,217,219,224,255,262,265,275],"input":[25,61,115,144,163,188],"connections":[26,44,203],"(weights)":[27],"and":[28,37,64,102,129,243,253],"biases":[30,67],"neurons":[33,75,88],"are":[34,45,227,249],"generated":[35],"randomly":[36],"fixed":[38],"after":[39],"being":[40,150,182],"generated.":[41],"The":[42,56],"output":[43],"estimated":[46,209],"by":[47,120,234],"LSE":[49,193,199],"method":[50],"rather":[51],"than":[52],"back-propagation":[54],"method.":[55],"random":[57],"generation":[58],"connection":[62],"weights":[63],"results":[68],"in":[69,89,105,142,157,170,177,223],"larger":[71],"number":[72,86],"to":[76,229,251],"assure":[77],"quality":[79],"classification":[81,96,270],"performance.":[82],"To":[83],"reduce":[84],"while":[93],"maintaining":[94],"performance,":[97],"we":[98,111],"apply":[99],"\u201cdivide":[101],"conquer\u201d":[103],"strategy":[104],"article.":[107],"other":[109],"words,":[110],"divide":[112],"an":[113],"overall":[114],"space":[116,145],"into":[117],"several":[118,153,205],"subspaces":[119,158,226],"using":[121,197,235],"information":[122],"granulation":[123],"technique":[124],"(Fuzzy":[125],"C-Means":[126],"clustering":[127],"algorithm)":[128],"determine":[130],"local":[132],"decision":[133,139,154,167,220,232],"boundaries":[134,155,168,221],"among":[135],"related":[136,225],"subspaces.":[137],"A":[138],"boundary":[140,233],"defined":[141,156,169,222],"can":[146,207],"be":[147,208],"considered":[148],"as":[149],"composed":[151],"that":[159],"entire":[162,187],"space.":[164,189],"For":[165],"subspaces,":[172],"their":[173],"nonlinearity":[174],"becomes":[175],"lower":[176],"comparison":[178],"one":[181,244],"encountered":[183],"when":[184,272],"considering":[185],"Through":[190],"weighted":[192],"instead":[195],"method,":[201],"NNs":[206],"without":[210],"interfering":[211],"each":[213],"other.":[214],"After":[215],"estimating":[216],"weights,":[218],"merged":[228],"fuzzy":[236,257],"ensemble":[237,258],"technique.":[238],"Several":[239],"machine":[240],"learning":[241],"datasets":[242],"real":[245],"world":[246],"application":[247],"dataset":[248],"used":[250],"evaluate":[252],"validate":[254],"proposed":[256,266],"classifier.":[259],"Based":[260],"on":[261],"experimental":[263],"results,":[264],"classifier":[267],"shows":[268],"better":[269],"performance":[271,276],"compared":[273],"some":[278],"selected":[279],"classifiers.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
