{"id":"https://openalex.org/W2551858099","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737876","title":"A Multi-objective evolutionary fuzzy system for big data","display_name":"A Multi-objective evolutionary fuzzy system for big data","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2551858099","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737876","mag":"2551858099"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5069612320","display_name":"Andrea Ferranti","orcid":null},"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":true,"raw_author_name":"Andrea Ferranti","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"]}]},{"author_position":"middle","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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009563148","display_name":"Armando Segatori","orcid":null},"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":"Armando Segatori","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":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069612320"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":1.2854,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87360617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"25","issue":null,"first_page":"1562","last_page":"1569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9968000054359436,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7748726606369019},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7489584684371948},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.7342715859413147},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6396393179893494},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.6152083873748779},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.545897364616394},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5304578542709351},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.52619868516922},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5109447836875916},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.49225178360939026},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47390687465667725},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.41550347208976746},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4118845462799072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4093261957168579},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3853186368942261},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.37861010432243347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2102014720439911},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.15130558609962463},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12431973218917847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10757997632026672},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10402774810791016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7748726606369019},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7489584684371948},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7342715859413147},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6396393179893494},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.6152083873748779},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.545897364616394},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5304578542709351},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.52619868516922},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5109447836875916},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.49225178360939026},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47390687465667725},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.41550347208976746},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4118845462799072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4093261957168579},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3853186368942261},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.37861010432243347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2102014720439911},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.15130558609962463},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12431973218917847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10757997632026672},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10402774810791016},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/826816","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/826816","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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W593727409","https://openalex.org/W1485408073","https://openalex.org/W1534431633","https://openalex.org/W1564372824","https://openalex.org/W1582311240","https://openalex.org/W1598064945","https://openalex.org/W1801960522","https://openalex.org/W1831950995","https://openalex.org/W1858291613","https://openalex.org/W1966772365","https://openalex.org/W1977904727","https://openalex.org/W1999101303","https://openalex.org/W2011523679","https://openalex.org/W2018821139","https://openalex.org/W2019492310","https://openalex.org/W2039482267","https://openalex.org/W2046397053","https://openalex.org/W2047094503","https://openalex.org/W2050337454","https://openalex.org/W2059591309","https://openalex.org/W2076684951","https://openalex.org/W2087295784","https://openalex.org/W2087343781","https://openalex.org/W2096442669","https://openalex.org/W2109722477","https://openalex.org/W2122702721","https://openalex.org/W2125055259","https://openalex.org/W2126268739","https://openalex.org/W2131975293","https://openalex.org/W2135074661","https://openalex.org/W2145611520","https://openalex.org/W2148497813","https://openalex.org/W2157355837","https://openalex.org/W2157954477","https://openalex.org/W2169541495","https://openalex.org/W2170616854","https://openalex.org/W2171647935","https://openalex.org/W2173213060","https://openalex.org/W2180526715","https://openalex.org/W2181951910","https://openalex.org/W2182056061","https://openalex.org/W2189465200","https://openalex.org/W2231104193","https://openalex.org/W2330820318","https://openalex.org/W2372005802","https://openalex.org/W2482213519","https://openalex.org/W4230798657","https://openalex.org/W6650037123","https://openalex.org/W6676367512","https://openalex.org/W6687322159","https://openalex.org/W7062443464"],"related_works":["https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2068949283","https://openalex.org/W2891428731"],"abstract_inverted_index":{"One":[0],"of":[1,6,13,36,46,60,81,89,96,110,115,124,143],"the":[2,11,16,55,82,93,108,150,161],"most":[3],"appealing":[4],"features":[5],"fuzzy":[7,27,61],"rule-based":[8,62],"classifiers":[9,63],"is":[10,22],"capability":[12],"explaining":[14],"how":[15],"conclusions":[17],"are":[18,29],"inferred.":[19],"This":[20],"feature":[21],"hard":[23],"to":[24,52,73],"preserve":[25],"when":[26],"rules":[28],"extracted":[30],"from":[31],"a":[32,43,48,86,122,154],"very":[33,75],"large":[34],"amount":[35],"data.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,132],"propose":[42],"distributed":[44,94,162],"version":[45,95,163],"PAES-RCS,":[47],"multiobjective":[49],"evolutionary":[50],"approach":[51,112,135],"learn":[53],"concurrently":[54],"rule":[56,168],"and":[57,67,118,146,148,173],"data":[58,103],"bases":[59,169],"by":[64,98,120],"maximizing":[65],"accuracy":[66,145,172],"minimizing":[68],"complexity.":[69],"PAES-RCS":[70,97],"has":[71],"proven":[72],"be":[74],"efficient":[76],"in":[77,113,141],"obtaining":[78],"satisfactory":[79],"approximations":[80],"Pareto":[83],"front":[84],"exploiting":[85],"limited":[87],"number":[88,123],"iterations.":[90],"We":[91,106,158],"implemented":[92],"using":[99],"Apache":[100],"Spark":[101],"as":[102],"processing":[104],"framework.":[105],"discuss":[107],"effectiveness":[109],"our":[111,134],"terms":[114,142],"classification":[116],"rate":[117],"scalability":[119],"performing":[121],"experiments":[125],"on":[126,153],"three":[127],"real-world":[128],"big":[129,176],"datasets.":[130],"Further,":[131],"compare":[133],"with":[136,170,179],"other":[137],"well-known":[138],"state-of-art":[139],"algorithms":[140],"both":[144],"complexity,":[147],"evaluate":[149],"achievable":[151],"speedup":[152],"small":[155],"computer":[156],"cluster.":[157],"show":[159],"that":[160],"can":[164],"efficiently":[165],"extract":[166],"compact":[167],"high":[171],"allows":[174],"handling":[175],"datasets":[177],"even":[178],"modest":[180],"hardware":[181],"support.":[182]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-11-30T00:00:00"}