{"id":"https://openalex.org/W2143472381","doi":"https://doi.org/10.1109/fuzz.2003.1209353","title":"Performance evaluation of three-objective genetic rule selection","display_name":"Performance evaluation of three-objective genetic rule selection","publication_year":2004,"publication_date":"2004-05-06","ids":{"openalex":"https://openalex.org/W2143472381","doi":"https://doi.org/10.1109/fuzz.2003.1209353","mag":"2143472381"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1209353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1209353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5056178993","display_name":"Takeshi Yamamoto","orcid":"https://orcid.org/0000-0002-0525-6481"},"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":"T. Yamamoto","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"[Dept. of Ind. Eng., Osaka Prefecture Univ., 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":"H. Ishibuchi","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]},{"raw_affiliation_string":"[Dept. of Ind. Eng., Osaka Prefecture Univ., Japan]","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056178993"],"corresponding_institution_ids":["https://openalex.org/I15807432"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13041426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"149","last_page":"154"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9955000281333923,"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":0.9866999983787537,"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/overfitting","display_name":"Overfitting","score":0.8401917815208435},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.7569326162338257},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.668018102645874},{"id":"https://openalex.org/keywords/admissible-decision-rule","display_name":"Admissible decision rule","score":0.6500790119171143},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5916398167610168},{"id":"https://openalex.org/keywords/rule-based-system","display_name":"Rule-based system","score":0.5660351514816284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5539655089378357},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4876338541507721},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4709264636039734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4623274803161621},{"id":"https://openalex.org/keywords/classification-rule","display_name":"Classification rule","score":0.4449745714664459},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43496447801589966},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4230874180793762},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4199160039424896},{"id":"https://openalex.org/keywords/rule-induction","display_name":"Rule induction","score":0.41309329867362976},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.39851412177085876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3933406472206116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.324134886264801},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.14592954516410828},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13661062717437744},{"id":"https://openalex.org/keywords/weighted-sum-model","display_name":"Weighted sum model","score":0.09143579006195068}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8401917815208435},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.7569326162338257},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.668018102645874},{"id":"https://openalex.org/C61449625","wikidata":"https://www.wikidata.org/wiki/Q4683801","display_name":"Admissible decision rule","level":5,"score":0.6500790119171143},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5916398167610168},{"id":"https://openalex.org/C149271511","wikidata":"https://www.wikidata.org/wiki/Q1417149","display_name":"Rule-based system","level":2,"score":0.5660351514816284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539655089378357},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4876338541507721},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4709264636039734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4623274803161621},{"id":"https://openalex.org/C104317236","wikidata":"https://www.wikidata.org/wiki/Q4330126","display_name":"Classification rule","level":2,"score":0.4449745714664459},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43496447801589966},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4230874180793762},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4199160039424896},{"id":"https://openalex.org/C2776780472","wikidata":"https://www.wikidata.org/wiki/Q7378945","display_name":"Rule induction","level":2,"score":0.41309329867362976},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.39851412177085876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3933406472206116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.324134886264801},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.14592954516410828},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13661062717437744},{"id":"https://openalex.org/C188222737","wikidata":"https://www.wikidata.org/wiki/Q7979909","display_name":"Weighted sum model","level":4,"score":0.09143579006195068},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C20837028","wikidata":"https://www.wikidata.org/wiki/Q623966","display_name":"Influence diagram","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1209353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1209353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W11910221","https://openalex.org/W635500860","https://openalex.org/W1553696291","https://openalex.org/W1561863899","https://openalex.org/W1588516554","https://openalex.org/W1972071974","https://openalex.org/W2000353609","https://openalex.org/W2018401509","https://openalex.org/W2035660096","https://openalex.org/W2080337565","https://openalex.org/W2106334424","https://openalex.org/W2114552091","https://openalex.org/W2116896485","https://openalex.org/W2119893066","https://openalex.org/W2125055259","https://openalex.org/W2126105956","https://openalex.org/W2127727096","https://openalex.org/W2131256974","https://openalex.org/W2135877462","https://openalex.org/W2140384587","https://openalex.org/W2140464249","https://openalex.org/W2145038862","https://openalex.org/W2145912932","https://openalex.org/W2172070547","https://openalex.org/W4256588611","https://openalex.org/W6600474201","https://openalex.org/W6633402183","https://openalex.org/W6633758351"],"related_works":["https://openalex.org/W2156706185","https://openalex.org/W2116198316","https://openalex.org/W3210934397","https://openalex.org/W2171646384","https://openalex.org/W2194810911","https://openalex.org/W4230481290","https://openalex.org/W2150675348","https://openalex.org/W3009509197","https://openalex.org/W1960594772","https://openalex.org/W2143472381"],"abstract_inverted_index":{"We":[0,179],"examine":[1,163,181],"the":[2,51,60,69,82,104,121,125,133,148,157,164,167,171,182,185],"classification":[3],"performance":[4],"of":[5,27,41,53,62,88,135,174,184,187],"fuzzy":[6,64,90],"rule-based":[7],"systems":[8],"designed":[9],"by":[10,37],"three-objective":[11,168,194],"genetic":[12,74,109,195],"rule":[13,18,28,32,43,71,75,116,136,177,188,196],"selection.":[14,197],"While":[15],"a":[16,24,38,78,85,95,99,107,154],"single":[17,25,39],"set":[19],"is":[20,77,111,128,146,191],"usually":[21],"obtained":[22,36,175],"from":[23],"run":[26,40],"generation":[29],"methods,":[30],"multiple":[31],"sets":[33,117,137],"are":[34,92],"simultaneously":[35],"our":[42],"selection":[44,76],"method":[45],"with":[46,118],"three":[47,122],"objectives:":[48],"to":[49,58,67,120,139,141],"maximize":[50],"number":[52,61,87],"correctly":[54],"classified":[55],"training":[56,131,142],"patterns,":[57,132],"minimize":[59,68],"selected":[63],"rules,":[65],"and":[66],"total":[70],"length.":[72],"Our":[73],"two-stage":[79],"approach.":[80],"In":[81,103,159],"first":[83,126],"stage,":[84,106],"pre-specified":[86],"candidate":[89],"rules":[91],"extracted":[93],"in":[94],"heuristic":[96],"manner":[97],"using":[98],"data":[100],"mining":[101],"technique.":[102],"second":[105],"multiobjective":[108],"algorithm":[110],"used":[112],"for":[113],"finding":[114],"nondominated":[115],"respect":[119],"objectives.":[123],"Since":[124],"objective":[127],"measured":[129],"on":[130,170],"evolution":[134],"tends":[138],"overfit":[140],"patterns.":[143],"The":[144],"question":[145],"whether":[147],"other":[149],"two":[150],"objectives":[151],"work":[152],"as":[153],"safeguard":[155],"against":[156],"overfitting.":[158],"this":[160],"paper,":[161],"we":[162],"effect":[165,183],"or":[166],"formulation":[169],"generalization":[172],"ability":[173],"non-dominated":[176],"sets.":[178],"also":[180],"adjustment":[186],"weights,":[189],"which":[190],"performed":[192],"after":[193]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}