{"id":"https://openalex.org/W2171425070","doi":"https://doi.org/10.1109/fuzzy.2011.6007729","title":"Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling","display_name":"Adaptive neural-fuzzy inference system for classification of rail quality data with bootstrapping-based over-sampling","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2171425070","doi":"https://doi.org/10.1109/fuzzy.2011.6007729","mag":"2171425070"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-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/A5051050779","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0002-4943-5625"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Y. Y. Yang","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069916821","display_name":"Mahdi Mahfouf","orcid":"https://orcid.org/0000-0002-7349-5396"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M. Mahfouf","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081468727","display_name":"George Panoutsos","orcid":"https://orcid.org/0000-0002-7395-8418"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"G. Panoutsos","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010875771","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0002-0651-469X"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Q. Zhang","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, IMMPETUS, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037954851","display_name":"Steven F. Thornton","orcid":"https://orcid.org/0000-0002-0235-1600"},"institutions":[{"id":"https://openalex.org/I4210130793","display_name":"Tata Steel (United Kingdom)","ror":"https://ror.org/03bj8zh59","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I4210130793","https://openalex.org/I87816474"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"S. Thornton","raw_affiliation_strings":["Teesside Technology Centre, Tata Steel Europe, Middlesbrough, UK"],"affiliations":[{"raw_affiliation_string":"Teesside Technology Centre, Tata Steel Europe, Middlesbrough, UK","institution_ids":["https://openalex.org/I4210130793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051050779"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":1.3022,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81564987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":null,"first_page":"2205","last_page":"2212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9922000169754028,"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":0.9886000156402588,"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/bootstrapping","display_name":"Bootstrapping (finance)","score":0.8462069034576416},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.8246493339538574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209921479225159},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6081727743148804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5830737352371216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5314884185791016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5246990919113159},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.460619181394577},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43815144896507263},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4288884997367859},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.4280849099159241},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4213506877422333},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.308874249458313},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.272865355014801},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12207147479057312},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.10297361016273499}],"concepts":[{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.8462069034576416},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.8246493339538574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209921479225159},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6081727743148804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5830737352371216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5314884185791016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246990919113159},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.460619181394577},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43815144896507263},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4288884997367859},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.4280849099159241},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4213506877422333},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.308874249458313},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.272865355014801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12207147479057312},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.10297361016273499},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"},{"id":"pmh:oai:kar.kent.ac.uk:50540","is_oa":false,"landing_page_url":"https://kar.kent.ac.uk/50540/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book section"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G7560132423","display_name":null,"funder_award_id":"EP/F023464/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320324240","display_name":"Tata Steel","ror":"https://ror.org/001wtjx27"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W169052826","https://openalex.org/W1233208954","https://openalex.org/W1501500081","https://openalex.org/W1539059108","https://openalex.org/W1553483187","https://openalex.org/W1661871015","https://openalex.org/W1663973292","https://openalex.org/W1680014149","https://openalex.org/W1870563072","https://openalex.org/W1961147827","https://openalex.org/W1965895350","https://openalex.org/W1969423031","https://openalex.org/W1975215536","https://openalex.org/W1988115241","https://openalex.org/W1992176519","https://openalex.org/W2002041442","https://openalex.org/W2017462139","https://openalex.org/W2019995884","https://openalex.org/W2041280856","https://openalex.org/W2045542471","https://openalex.org/W2053724458","https://openalex.org/W2058732827","https://openalex.org/W2064616206","https://openalex.org/W2076873445","https://openalex.org/W2079325629","https://openalex.org/W2080337565","https://openalex.org/W2087654424","https://openalex.org/W2090018524","https://openalex.org/W2092285001","https://openalex.org/W2103142054","https://openalex.org/W2131792702","https://openalex.org/W2143208759","https://openalex.org/W2145912932","https://openalex.org/W2148143831","https://openalex.org/W2149308034","https://openalex.org/W2156883031","https://openalex.org/W2160777156","https://openalex.org/W2165313857","https://openalex.org/W2912565176","https://openalex.org/W2991160717","https://openalex.org/W3146863510","https://openalex.org/W4211007335","https://openalex.org/W4249749961","https://openalex.org/W4256588611","https://openalex.org/W4285719527"],"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":{"An":[0,88],"iterative":[1,111,125,162],"bootstrapping-based":[2],"data":[3,25,31,46,94,101,146,164],"over-sampling":[4,165],"strategy":[5,129],"is":[6,106,122,130],"presented":[7],"in":[8],"this":[9],"paper":[10],"together":[11],"with":[12,21,143],"an":[13],"adaptive":[14],"neural-fuzzy":[15],"inference":[16],"system":[17],"(ANFIS)":[18],"to":[19,71,91,133],"deal":[20],"a":[22,42,51,134,156],"severely":[23],"imbalanced":[24],"modelling":[26,62,128],"problem.":[27],"As":[28],"real":[29,135],"industrial":[30,136],"are":[32],"often":[33],"very":[34],"large,":[35],"containing":[36],"hundreds":[37],"of":[38,45,50,54,100],"process":[39,113],"variables":[40,56,77],"and":[41,63,81,119],"huge":[43],"number":[44],"records,":[47],"the":[48,73,98,110,116,144,161],"selection":[49],"compact":[52],"set":[53],"input":[55,76,86],"becomes":[57],"critical":[58],"for":[59,103,139],"any":[60],"successful":[61],"analysis":[64,80],"operations.":[65],"Significant":[66],"efforts":[67],"have":[68],"been":[69],"devoted":[70],"identifying":[72],"most":[74],"relevant":[75],"through":[78,109,160],"correlation":[79],"neural":[82],"network":[83],"based":[84],"forward":[85],"selection.":[87],"optimal":[89],"majority":[90],"minority":[92],"class":[93],"ratio,":[95],"which":[96],"controls":[97],"level":[99],"imbalance":[102],"model":[104],"training,":[105],"then":[107,131],"determined":[108],"bootstrapping":[112,126,163],"such":[114],"that":[115],"combined":[117],"sensitivity":[118],"specificity":[120],"performance":[121,159],"optimised.":[123],"The":[124],"ANFIS":[127,166],"applied":[132],"case":[137],"study":[138],"rail":[140],"quality":[141],"classification,":[142],"original":[145],"being":[147],"provided":[148],"by":[149],"Tata":[150],"Steel":[151],"Europe.":[152],"Preliminary":[153],"results":[154],"show":[155],"good":[157],"overall":[158],"modelling.":[167]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}