{"id":"https://openalex.org/W4321609134","doi":"https://doi.org/10.1109/tcyb.2023.3241170","title":"Robust Fuzzy Neural Network With an Adaptive Inference Engine","display_name":"Robust Fuzzy Neural Network With an Adaptive Inference Engine","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4321609134","doi":"https://doi.org/10.1109/tcyb.2023.3241170","pmid":"https://pubmed.ncbi.nlm.nih.gov/37027534"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2023.3241170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3241170","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5061926046","display_name":"Leijie Zhang","orcid":"https://orcid.org/0000-0001-5126-1778"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Leijie Zhang","raw_affiliation_strings":["CIBCI Lab, Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science, CIBCI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5126-1778","affiliations":[{"raw_affiliation_string":"CIBCI Lab, Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, CIBCI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082228115","display_name":"Ye Shi","orcid":"https://orcid.org/0000-0003-2302-4980"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Shi","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2302-4980","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076932590","display_name":"Yu\u2010Cheng Chang","orcid":"https://orcid.org/0000-0001-9244-0318"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu-Cheng Chang","raw_affiliation_strings":["CIBCI Lab, Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science, CIBCI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9244-0318","affiliations":[{"raw_affiliation_string":"CIBCI Lab, Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, CIBCI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["CIBCI Lab, Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","School of Computer Science, CIBCI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8371-8197","affiliations":[{"raw_affiliation_string":"CIBCI Lab, Australian Artificial Intelligence Institute, School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"School of Computer Science, CIBCI Lab, Australian Artificial Intelligence Institute, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7105,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96627386,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"54","issue":"5","first_page":"3275","last_page":"3285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.989300012588501,"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":0.989300012588501,"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":0.9573000073432922,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9269999861717224,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.7628347873687744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284793853759766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6586109399795532},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6289103031158447},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5944549441337585},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5805378556251526},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5261768102645874},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5003979206085205},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.46043768525123596},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.43944311141967773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4359571039676666},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.42861688137054443},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3336073160171509}],"concepts":[{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.7628347873687744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284793853759766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6586109399795532},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6289103031158447},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5944549441337585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5805378556251526},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5261768102645874},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5003979206085205},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.46043768525123596},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.43944311141967773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4359571039676666},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.42861688137054443},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3336073160171509},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2023.3241170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2023.3241170","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:37027534","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37027534","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1287172568","display_name":"AI-Human Empowered Team Decision-Making","funder_award_id":"DP220100803","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G1479148548","display_name":null,"funder_award_id":"ONRG-NICOP-N62909-19-1-2058","funder_id":"https://openalex.org/F4320338298","funder_display_name":"Office of Naval Research Global"},{"id":"https://openalex.org/G7009114323","display_name":"Brain Robot Interface for Physical Human Robot Collaboration","funder_award_id":"DP210101093","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320338298","display_name":"Office of Naval Research Global","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1519506695","https://openalex.org/W1529940814","https://openalex.org/W1970104171","https://openalex.org/W1995450389","https://openalex.org/W2019207321","https://openalex.org/W2022851810","https://openalex.org/W2051203581","https://openalex.org/W2071935776","https://openalex.org/W2079325629","https://openalex.org/W2080956728","https://openalex.org/W2095705004","https://openalex.org/W2103459159","https://openalex.org/W2111406701","https://openalex.org/W2117370805","https://openalex.org/W2124136621","https://openalex.org/W2132885717","https://openalex.org/W2153149612","https://openalex.org/W2156060469","https://openalex.org/W2156297475","https://openalex.org/W2539298695","https://openalex.org/W2591079949","https://openalex.org/W2598849564","https://openalex.org/W2729558485","https://openalex.org/W2751490707","https://openalex.org/W2796698500","https://openalex.org/W2919115771","https://openalex.org/W2963564844","https://openalex.org/W2964105864","https://openalex.org/W2997206660","https://openalex.org/W2997655715","https://openalex.org/W3005299290","https://openalex.org/W3013520104","https://openalex.org/W3030356194","https://openalex.org/W3034881756","https://openalex.org/W3034942609","https://openalex.org/W3036168343","https://openalex.org/W3043426275","https://openalex.org/W3104574805","https://openalex.org/W3125118632","https://openalex.org/W3136525286","https://openalex.org/W3164996764","https://openalex.org/W4200461742","https://openalex.org/W4206569030","https://openalex.org/W4236874811","https://openalex.org/W4251225685","https://openalex.org/W4292329925","https://openalex.org/W6631160641","https://openalex.org/W6639216784","https://openalex.org/W6674330103","https://openalex.org/W6736244717","https://openalex.org/W6773837390","https://openalex.org/W6780679200","https://openalex.org/W6785256488"],"related_works":["https://openalex.org/W2785395359","https://openalex.org/W1549951490","https://openalex.org/W2247295643","https://openalex.org/W2111426611","https://openalex.org/W1966629635","https://openalex.org/W3159983598","https://openalex.org/W2357953609","https://openalex.org/W2367175432","https://openalex.org/W2374727787","https://openalex.org/W2288384671"],"abstract_inverted_index":{"Fuzzy":[0],"neural":[1,29,71,142,166],"networks":[2,30],"(FNNs)":[3],"have":[4],"been":[5],"very":[6,197],"successful":[7],"at":[8,196],"handling":[9,89],"uncertainty":[10,44,93,130],"in":[11,131],"data":[12,43],"using":[13],"fuzzy":[14,70,103,146,176],"mappings":[15],"and":[16,24,94],"if-then":[17],"rules.":[18],"However,":[19],"they":[20],"suffer":[21],"from":[22,151],"generalization":[23],"dimensionality":[25],"issues.":[26],"Although":[27],"deep":[28,48],"(DNNs)":[31],"represent":[32],"a":[33,68,102,185],"step":[34],"toward":[35],"processing":[36],"high-dimensional":[37],"data,":[38],"their":[39],"capacity":[40],"to":[41,52,74,106,119,155,169],"address":[42],"is":[45,86,117,204],"limited.":[46],"Furthermore,":[47,161],"learning":[49,139],"algorithms":[50],"designed":[51],"improve":[53],"robustness":[54],"are":[55],"either":[56],"time":[57],"consuming":[58],"or":[59],"yield":[60],"unsatisfactory":[61],"performance.":[62],"In":[63],"this":[64],"article,":[65],"we":[66],"propose":[67],"robust":[69],"network":[72,79,167],"(RFNN)":[73],"overcome":[75],"these":[76],"problems.":[77],"The":[78],"contains":[80],"an":[81],"adaptive":[82],"inference":[83,115],"engine":[84,116],"that":[85,100,190],"capable":[87],"of":[88,137,141,174,187,200],"samples":[90],"with":[91,180],"high-level":[92],"high":[95,198],"dimensions.":[96],"Unlike":[97],"traditional":[98],"FNNs":[99],"use":[101],"AND":[104],"operation":[105],"calculate":[107],"the":[108,121,129,138,144,157,162,171,175],"firing":[109,122],"strength":[110,123],"for":[111],"each":[112],"rule,":[113],"our":[114],"able":[118],"learn":[120],"adaptively.":[124],"It":[125],"also":[126],"further":[127],"processes":[128],"membership":[132],"function":[133],"values.":[134],"Taking":[135],"advantage":[136],"ability":[140,173],"networks,":[143],"acquired":[145],"sets":[147],"can":[148],"be":[149],"learned":[150],"training":[152],"inputs":[153],"automatically":[154],"cover":[156],"input":[158],"space":[159],"well.":[160],"consequent":[163],"layer":[164],"uses":[165],"structures":[168],"enhance":[170],"reasoning":[172],"rules":[177],"when":[178],"dealing":[179],"complex":[181],"inputs.":[182],"Experiments":[183],"on":[184],"range":[186],"datasets":[188],"show":[189],"RFNN":[191],"delivers":[192],"state-of-the-art":[193],"accuracy":[194],"even":[195],"levels":[199],"uncertainty.":[201],"Our":[202],"code":[203],"available":[205],"online.":[206],"https://github.com/leijiezhang/RFNN.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}