{"id":"https://openalex.org/W2159826701","doi":"https://doi.org/10.1109/fuzzy.2011.6007739","title":"A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures","display_name":"A meta-fuzzy classifier for specifying appropriate fuzzy partitions by genetic fuzzy rule selection with data complexity measures","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2159826701","doi":"https://doi.org/10.1109/fuzzy.2011.6007739","mag":"2159826701"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007739","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/A5004957967","display_name":"Yusuke Nojima","orcid":"https://orcid.org/0000-0003-4853-1305"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yusuke Nojima","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087816834","display_name":"Shinya Nishikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinya Nishikawa","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hisao Ishibuchi","raw_affiliation_strings":["Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004957967"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":1.2827,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84657621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":null,"first_page":"264","last_page":"271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9836999773979187,"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":0.9800999760627747,"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/classifier","display_name":"Classifier (UML)","score":0.7617270350456238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.637151837348938},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.545803964138031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.534783124923706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5283371210098267},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.4603843688964844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44315817952156067},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.4296490550041199},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.42467200756073},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.42190021276474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37373340129852295}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7617270350456238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.637151837348938},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.545803964138031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.534783124923706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5283371210098267},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.4603843688964844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44315817952156067},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.4296490550041199},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.42467200756073},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.42190021276474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37373340129852295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007739","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W43871266","https://openalex.org/W154960149","https://openalex.org/W205108592","https://openalex.org/W1512098439","https://openalex.org/W1573698127","https://openalex.org/W1575103269","https://openalex.org/W1964402642","https://openalex.org/W2043668412","https://openalex.org/W2064899579","https://openalex.org/W2066473880","https://openalex.org/W2067909599","https://openalex.org/W2068283474","https://openalex.org/W2088446099","https://openalex.org/W2093620744","https://openalex.org/W2097724632","https://openalex.org/W2100018165","https://openalex.org/W2102675003","https://openalex.org/W2106525014","https://openalex.org/W2109518982","https://openalex.org/W2116700930","https://openalex.org/W2122558540","https://openalex.org/W2124474517","https://openalex.org/W2125877832","https://openalex.org/W2126105956","https://openalex.org/W2129611233","https://openalex.org/W2140384587","https://openalex.org/W2150192952","https://openalex.org/W2155007046","https://openalex.org/W2156909104","https://openalex.org/W2156923470","https://openalex.org/W2159701103","https://openalex.org/W2163709832","https://openalex.org/W2167871428","https://openalex.org/W2182511338","https://openalex.org/W2914019270","https://openalex.org/W2915095518","https://openalex.org/W4238782688","https://openalex.org/W6686209092"],"related_works":["https://openalex.org/W2010370304","https://openalex.org/W2162083125","https://openalex.org/W1483596504","https://openalex.org/W2009506202","https://openalex.org/W2125266525","https://openalex.org/W47559851","https://openalex.org/W2297694731","https://openalex.org/W204488290","https://openalex.org/W2071988253","https://openalex.org/W2096969571"],"abstract_inverted_index":{"Tens":[0],"of":[1,3,25,44,86,99,120,133,153,169,172],"thousands":[2],"classifiers":[4,135],"have":[5,90],"been":[6,91],"proposed":[7,92,202],"so":[8],"far.":[9],"There":[10],"is":[11,56,102,191],"no":[12],"best":[13],"classifier":[14,27,46,62,107,112,190],"among":[15],"them":[16],"for":[17,35,38,108],"all":[18],"the":[19,31,45,50,72,130,170,201],"existing":[20],"data":[21,32,51,74,87,95,121,137,155,160,173],"sets.":[22,52,96,161],"The":[23,97],"performance":[24],"each":[26],"often":[28],"depends":[29],"on":[30,49,129],"sets":[33,75,156],"used":[34],"comparison.":[36],"Even":[37],"a":[39,57,60,84,105,141,146,150,188],"single":[40],"classifier,":[41],"suitable":[42],"parameters":[43],"also":[47],"depend":[48],"That":[53],"is,":[54],"there":[55],"possibility":[58],"that":[59],"suited":[61],"and":[63,178],"its":[64,114],"parameter":[65,116,131],"specification":[66,117,132],"can":[67],"be":[68],"chosen":[69],"beforehand":[70],"if":[71],"target":[73],"or":[76],"their":[77],"characteristics":[78],"were":[79],"known.":[80],"In":[81,124],"recent":[82],"years,":[83],"number":[85,152],"complexity":[88,122,138,174],"measures":[89,139,175],"to":[93,103],"characterize":[94],"aim":[98],"this":[100,125],"study":[101],"develop":[104],"meta":[106,189],"selecting":[109],"an":[110,179,184],"appropriate":[111,115,180],"and/or":[113],"by":[118,193],"means":[119],"measures.":[123],"paper,":[126],"we":[127,148,163],"focus":[128],"fuzzy":[134,181,196],"using":[136],"as":[140,176,183],"preliminary":[142],"study.":[143],"To":[144],"construct":[145],"meta-classifier,":[147],"generate":[149,164],"large":[151],"artificial":[154],"from":[157],"Keel":[158],"benchmark":[159],"Then":[162],"meta-patterns":[165],"which":[166],"are":[167],"composed":[168],"values":[171],"inputs":[177],"partition":[182],"output.":[185],"Using":[186],"meta-patterns,":[187],"designed":[192],"multiobjective":[194],"genetic":[195],"rule":[197],"selection.":[198],"We":[199],"evaluate":[200],"method":[203],"through":[204],"leave":[205],"one-group":[206],"out":[207],"cross-validation.":[208]},"counts_by_year":[{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
