{"id":"https://openalex.org/W2118976987","doi":"https://doi.org/10.1109/fuzzy.2007.4295465","title":"Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space","display_name":"Evolutionary Multi-Objective Optimization of Fuzzy Rule-Based Classifiers in the ROC Space","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2118976987","doi":"https://doi.org/10.1109/fuzzy.2007.4295465","mag":"2118976987"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2007.4295465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295465","pdf_url":null,"source":{"id":"https://openalex.org/S4210187232","display_name":"Proceedings of ... IEEE International Conference on Fuzzy Systems","issn_l":"1098-7584","issn":["1098-7584"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","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/A5080905811","display_name":"Marco Cococcioni","orcid":"https://orcid.org/0000-0002-7020-1524"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]},{"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","US"],"is_corresponding":true,"raw_author_name":"Marco Cococcioni","raw_affiliation_strings":["Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504","https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050435146","display_name":"Pietro Ducange","orcid":"https://orcid.org/0000-0003-4510-1350"},"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"]},{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Pietro Ducange","raw_affiliation_strings":["Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504","https://openalex.org/I1334627681"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040911847","display_name":"Beatrice Lazzerini","orcid":"https://orcid.org/0000-0002-5086-4734"},"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"]},{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["IT","US"],"is_corresponding":false,"raw_author_name":"Beatrice Lazzerini","raw_affiliation_strings":["Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504","https://openalex.org/I1334627681"]}]},{"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/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Francesco Marcelloni","raw_affiliation_strings":["Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy"],"affiliations":[{"raw_affiliation_string":"Humanoid Robotics Laboratory, California Institute of technology, Jet Propulsion Laboratory, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504","https://openalex.org/I1334627681"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080905811"],"corresponding_institution_ids":["https://openalex.org/I108290504","https://openalex.org/I1334627681"],"apc_list":null,"apc_paid":null,"fwci":0.7611,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70590231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980999827384949,"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":0.9980999827384949,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9872000217437744,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9556000232696533,"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/fuzzy-rule","display_name":"Fuzzy rule","score":0.6062551140785217},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6017018556594849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984029769897461},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5231793522834778},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5216472744941711},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.5204744338989258},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5196725130081177},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5119384527206421},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49736288189888},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.44951534271240234},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4280919134616852},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4141072928905487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512480556964874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34156534075737},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.21915990114212036},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14623886346817017}],"concepts":[{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.6062551140785217},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6017018556594849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984029769897461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5231793522834778},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5216472744941711},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.5204744338989258},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5196725130081177},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5119384527206421},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49736288189888},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.44951534271240234},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4280919134616852},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4141072928905487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512480556964874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34156534075737},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.21915990114212036},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14623886346817017},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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":3,"locations":[{"id":"doi:10.1109/fuzzy.2007.4295465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295465","pdf_url":null,"source":{"id":"https://openalex.org/S4210187232","display_name":"Proceedings of ... IEEE International Conference on Fuzzy Systems","issn_l":"1098-7584","issn":["1098-7584"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/186962","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/186962","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.uniecampus.it:11389/6049","is_oa":false,"landing_page_url":"http://hdl.handle.net/11389/6049","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/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W115285655","https://openalex.org/W203272431","https://openalex.org/W1495130552","https://openalex.org/W1521843029","https://openalex.org/W1557278184","https://openalex.org/W1563728692","https://openalex.org/W2023990410","https://openalex.org/W2048561164","https://openalex.org/W2049439548","https://openalex.org/W2068283474","https://openalex.org/W2096942889","https://openalex.org/W2101285918","https://openalex.org/W2101881450","https://openalex.org/W2102675003","https://openalex.org/W2109518982","https://openalex.org/W2116661285","https://openalex.org/W2124101641","https://openalex.org/W2126105956","https://openalex.org/W2130166265","https://openalex.org/W2131998231","https://openalex.org/W2158923902","https://openalex.org/W2799061466","https://openalex.org/W2994964425","https://openalex.org/W4205687621","https://openalex.org/W4285719527","https://openalex.org/W6683202076","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W2320442256","https://openalex.org/W2052615004","https://openalex.org/W2143234973","https://openalex.org/W152772766","https://openalex.org/W1982962927","https://openalex.org/W2099057441","https://openalex.org/W1572395346","https://openalex.org/W1542891361","https://openalex.org/W2126076065","https://openalex.org/W2083536291"],"abstract_inverted_index":{"An":[0],"approach":[1,132],"to":[2,11,25,81,133],"select":[3],"the":[4,62,66,69,73,109,112,120,127,130],"most":[5,113],"suitable":[6,114],"fuzzy":[7,35,82],"rule-based":[8,36],"binary":[9,37],"classifier":[10,115,136],"a":[12,30,86,92,105,135,144,153],"specific":[13],"application":[14,128],"is":[15,23,47,57,116],"proposed.":[16],"First,":[17],"an":[18,27],"evolutionary":[19],"three-objective":[20],"optimization":[21],"algorithm":[22],"applied":[24],"generate":[26,134],"approximation":[28],"of":[29,34,51,61,68,78,89,95,108,129],"Pareto":[31],"front":[32],"composed":[33],"classifiers":[38],"with":[39],"different":[40],"trade-offs":[41],"between":[42],"accuracy":[43],"and":[44,53,91],"complexity.":[45],"Accuracy":[46],"measured":[48],"in":[49,72,100,143],"terms":[50],"sensitivity":[52],"specificity,":[54],"whereas":[55],"complexity":[56,79],"computed":[58],"as":[59],"sum":[60],"conditions":[63],"which":[64],"compose":[65],"antecedents":[67],"rules":[70,90],"included":[71],"classifiers.":[74,110],"Thus,":[75],"low":[76,87,93],"values":[77],"correspond":[80],"systems":[83],"characterized":[84],"by":[85,118],"number":[88,94],"input":[96],"variables":[97],"actually":[98],"used":[99],"each":[101],"rule.":[102],"This":[103],"ensures":[104],"high":[106],"comprehensibility":[107],"Then,":[111],"selected":[117],"using":[119],"ROC":[121],"convex":[122],"hull":[123],"method.":[124],"We":[125],"discuss":[126],"proposed":[131],"for":[137],"discriminating":[138],"lung":[139,159],"nodules":[140],"from":[141,158],"non-nodules":[142],"computer":[145],"aided":[146],"diagnosis":[147],"(CAD)":[148],"system.":[149],"Results":[150],"obtained":[151],"on":[152],"real":[154],"data":[155],"set":[156],"extracted":[157],"CT":[160],"images":[161],"are":[162],"also":[163],"discussed":[164]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}