{"id":"https://openalex.org/W2410506558","doi":"https://doi.org/10.1109/tfuzz.2016.2578341","title":"Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification","display_name":"Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification","publication_year":2016,"publication_date":"2016-06-08","ids":{"openalex":"https://openalex.org/W2410506558","doi":"https://doi.org/10.1109/tfuzz.2016.2578341","mag":"2410506558"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2016.2578341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2016.2578341","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":true,"oa_status":"green","oa_url":"https://ieeexplore.ieee.org/document/7486979","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007411844","display_name":"Michela Antonelli","orcid":"https://orcid.org/0000-0002-3005-4523"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["GB","IT"],"is_corresponding":true,"raw_author_name":"Michela Antonelli","raw_affiliation_strings":["Centre for Medical Image Computing, University College London, London, U.K","Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Centre for Medical Image Computing, University College London, London, U.K","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071701049","display_name":"Dario Bernardo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dario Bernardo","raw_affiliation_strings":["Computational Intelligence Centre, University of Essex, Colchester, U.K"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Centre, University of Essex, Colchester, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041176153","display_name":"Hani Hagras","orcid":"https://orcid.org/0000-0002-2818-5292"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hani Hagras","raw_affiliation_strings":["Computational Intelligence Centre, University of Essex, Colchester, U.K"],"affiliations":[{"raw_affiliation_string":"Computational Intelligence Centre, University of Essex, Colchester, U.K","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057031606","display_name":"Francesco Marcelloni","orcid":"https://orcid.org/0000-0002-5895-876X"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Marcelloni","raw_affiliation_strings":["Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007411844"],"corresponding_institution_ids":["https://openalex.org/I108290504","https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":18.2912,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99180945,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"25","issue":"2","first_page":"249","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9984999895095825,"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":0.9984999895095825,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9907000064849854,"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/interpretability","display_name":"Interpretability","score":0.9422908425331116},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.7284884452819824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367452144622803},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5556575059890747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5070838928222656},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.49580368399620056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47434747219085693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4432781934738159},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3757498860359192}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9422908425331116},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.7284884452819824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367452144622803},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5556575059890747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5070838928222656},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.49580368399620056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47434747219085693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4432781934738159},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3757498860359192}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tfuzz.2016.2578341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2016.2578341","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"},{"id":"pmh:oai:repository.essex.ac.uk:18639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TFUZZ.2016.2578341","pdf_url":null,"source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"},{"id":"pmh:oai:arpi.unipi.it:11568/854090","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/7486979","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.uniecampus.it:11389/33011","is_oa":false,"landing_page_url":"http://hdl.handle.net/11389/33011","pdf_url":null,"source":{"id":"https://openalex.org/S4306400077","display_name":"IRIS eCampus Telematic University (Universit\u00e0 degli Studi eCampus)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I167322064","host_organization_name":"Universit\u00e0 degli Studi eCampus","host_organization_lineage":["https://openalex.org/I167322064"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arpi.unipi.it:11568/854090","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/document/7486979","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W60482913","https://openalex.org/W73448756","https://openalex.org/W123511966","https://openalex.org/W635500860","https://openalex.org/W928861065","https://openalex.org/W1539285633","https://openalex.org/W1547039882","https://openalex.org/W1670263352","https://openalex.org/W1858291613","https://openalex.org/W1870563072","https://openalex.org/W1966772365","https://openalex.org/W1968480140","https://openalex.org/W1974758710","https://openalex.org/W1977904727","https://openalex.org/W1984606274","https://openalex.org/W1984712439","https://openalex.org/W1989160712","https://openalex.org/W1993626219","https://openalex.org/W1997756370","https://openalex.org/W2000353609","https://openalex.org/W2000950277","https://openalex.org/W2003322225","https://openalex.org/W2009543464","https://openalex.org/W2011523679","https://openalex.org/W2013238257","https://openalex.org/W2016086965","https://openalex.org/W2020320008","https://openalex.org/W2026519996","https://openalex.org/W2031760375","https://openalex.org/W2041775680","https://openalex.org/W2043668412","https://openalex.org/W2043792182","https://openalex.org/W2050337454","https://openalex.org/W2052107565","https://openalex.org/W2065455158","https://openalex.org/W2067205732","https://openalex.org/W2067710034","https://openalex.org/W2068283474","https://openalex.org/W2073811171","https://openalex.org/W2078365380","https://openalex.org/W2078633362","https://openalex.org/W2084126977","https://openalex.org/W2090816058","https://openalex.org/W2093620744","https://openalex.org/W2095331541","https://openalex.org/W2109518982","https://openalex.org/W2121044470","https://openalex.org/W2121573754","https://openalex.org/W2122702721","https://openalex.org/W2125055259","https://openalex.org/W2132037635","https://openalex.org/W2140460921","https://openalex.org/W2144630308","https://openalex.org/W2148143831","https://openalex.org/W2150263198","https://openalex.org/W2154789576","https://openalex.org/W2157776581","https://openalex.org/W2158325524","https://openalex.org/W2158698691","https://openalex.org/W2162706466","https://openalex.org/W2164400088","https://openalex.org/W2171213208","https://openalex.org/W2171770134","https://openalex.org/W2182722412","https://openalex.org/W2346154048","https://openalex.org/W2911964244","https://openalex.org/W4237236578","https://openalex.org/W6638808210","https://openalex.org/W6678230397"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W2050337454","https://openalex.org/W2595285209","https://openalex.org/W2083536291"],"abstract_inverted_index":{"Classification":[0],"techniques":[1],"are":[2,16,43,58,76,228,318,328,483],"becoming":[3],"essential":[4],"in":[5,18,24,141,287,315,332],"the":[6,36,81,85,92,165,183,190,203,208,212,263,275,280,284,295,300,304,309,316,322,342,347,365,369,381,399,431,435,439,443,451,462,471],"financial":[7,74,109,223,358],"world":[8],"for":[9,50,137,172,258,388],"reducing":[10],"risks":[11],"and":[12,26,41,53,64,94,97,167,179,201,207,221,234,252,337,360,375,377,392,405,427,448,450,457,488],"possible":[13],"disasters.":[14],"Managers":[15],"interested":[17],"not":[19],"only":[20,346],"high":[21,68,89],"accuracy,":[22],"but":[23],"interpretability":[25],"transparency":[27],"as":[28,134,339],"well.":[29],"It":[30],"is":[31,48,189,272],"widely":[32],"accepted":[33],"now":[34],"that":[35,193,416],"comprehension":[37],"of":[38,70,87,170,185,205,214,218,244,256,283,308,324,341,438,491],"how":[39,480],"inputs":[40,57],"outputs":[42],"related":[44],"to":[45,106,145,149,162,289,294,321,334,466],"each":[46,259,270],"other":[47],"crucial":[49],"taking":[51],"operative":[52],"strategic":[54],"decisions.":[55],"Furthermore,":[56],"often":[59],"affected":[60],"by":[61,66,112,122,197,230,274,330,368,434,446,455,474,486],"contextual":[62],"factors":[63],"characterized":[65],"a":[67,103,123,143,232,241,247,253,291],"level":[69],"uncertainty.":[71],"In":[72,153],"addition,":[73],"data":[75,110,121,168,301],"usually":[77],"highly":[78],"skewed":[79,220],"toward":[80],"majority":[82],"class.":[83,297],"With":[84],"aim":[86],"achieving":[88],"accuracies,":[90],"preserving":[91],"interpretability,":[93],"managing":[95,173],"uncertain":[96],"unbalanced":[98,180],"data,":[99],"this":[100,188],"paper":[101],"presents":[102],"novel":[104],"method":[105],"deal":[107],"with":[108,211,269,364,372,376,426],"classification":[111,348,386],"adopting":[113],"type-2":[114,176,195,311],"fuzzy":[115,177,281,312,383,393],"rule-based":[116,385],"classifiers":[117,129],"(FRBCs)":[118],"generated":[119,229,249,433,445,473],"from":[120,246],"multiobjective":[124],"evolutionary":[125,264],"algorithm":[126,397],"(MOEA).":[127],"The":[128,225,266],"employ":[130],"an":[131,159],"approach,":[132,238,353],"denoted":[133],"scaled":[135,273,276,379],"dominance,":[136,380],"defining":[138],"rule":[139,166,209,226,233,250,261,271],"weights":[140],"such":[142],"way":[144],"help":[146],"minority":[147,296],"classes":[148],"be":[150,467],"correctly":[151],"classified.":[152],"particular,":[154],"we":[155,413,477],"have":[156],"extended":[157],"PAES-RCS,":[158],"MOEA-based":[160],"approach":[161,278],"learn":[163],"concurrently":[164,198,320],"bases":[169,227],"FRBCs,":[171,382],"both":[174],"interval":[175,310],"sets":[178,313],"datasets.":[181,224],"To":[182],"best":[184],"our":[186,352,362],"knowledge,":[187],"first":[191],"work":[192],"generates":[194,418],"FRBCs":[196,419,444,472,482],"maximizing":[199],"accuracy":[200,423],"minimizing":[202],"number":[204,243,255],"rules":[206,245,317,395],"length":[210],"objective":[213],"producing":[215],"interpretable":[216,485],"models":[217],"real-world":[219],"incomplete":[222],"exploiting":[231],"condition":[235],"selection":[236],"(RCS)":[237],"which":[239],"selects":[240],"reduced":[242,254],"heuristically":[248],"base":[251,302],"conditions":[257],"selected":[260],"during":[262],"process.":[265],"weight":[267,293],"associated":[268],"dominance":[277],"on":[279,356,421],"frequency":[282],"output":[285],"class,":[286],"order":[288],"give":[290],"higher":[292],"As":[298],"regards":[299],"learning,":[303],"membership":[305],"function":[306],"parameters":[307],"used":[314],"learned":[319],"application":[323],"RCS.":[325],"Unbalanced":[326],"datasets":[327,359],"managed":[329],"using,":[331],"addition":[333],"complexity,":[335,464],"selectivity":[336],"specificity":[338],"objectives":[340,374],"MOEA":[343],"rather":[344],"than":[345,430,470],"rate.":[349],"We":[350],"tested":[351],"named":[354],"IT2-PAES-RCS,":[355],"11":[357],"compared":[361],"results":[363],"ones":[366,432],"obtained":[367],"original":[370,440],"PAES-RCS":[371],"three":[373],"without":[378],"association":[384],"model":[387],"high-dimensional":[389],"dataset":[390],"(FARC-HD)":[391],"unordered":[394],"induction":[396],"(FURIA),":[398],"classical":[400],"C4.5":[401,456],"decision":[402,452],"tree":[403],"algorithm,":[404],"its":[406,458],"cost-sensitive":[407,459],"version.":[408],"Using":[409],"nonparametric":[410],"statistical":[411],"tests,":[412],"will":[414,478],"show":[415],"IT2-PAES-RCS":[417],"with,":[420],"average,":[422],"statistically":[424],"comparable":[425],"complexity":[428],"lower":[429],"two":[436],"versions":[437],"PAES-RCS.":[441],"Further,":[442],"FARC-HD":[447],"FURIA":[449],"trees":[453],"computed":[454],"version,":[460],"despite":[461],"highest":[463],"result":[465],"less":[468],"accurate":[469],"IT2-PAES-RCS.":[475],"Finally,":[476],"highlight":[479],"these":[481],"easily":[484],"showing":[487],"discussing":[489],"one":[490],"them.":[492]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
