{"id":"https://openalex.org/W4414123511","doi":"https://doi.org/10.1109/fuzz62266.2025.11152164","title":"Stochastic Local Mutation for Efficient Membership Function Exploration in Fuzzy Classifiers","display_name":"Stochastic Local Mutation for Efficient Membership Function Exploration in Fuzzy Classifiers","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4414123511","doi":"https://doi.org/10.1109/fuzz62266.2025.11152164"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz62266.2025.11152164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","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/A5001973195","display_name":"Hiroki Shiraishi","orcid":"https://orcid.org/0000-0001-8730-1276"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroki Shiraishi","raw_affiliation_strings":["Yokohama National University,Faculty of Engineering,Yokohama,Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University,Faculty of Engineering,Yokohama,Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hisao Ishibuchi","raw_affiliation_strings":["Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology,Department of Computer Science and Engineering,Shenzhen,China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019516292","display_name":"Masaya Nakata","orcid":"https://orcid.org/0000-0003-3428-7890"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaya Nakata","raw_affiliation_strings":["Yokohama National University,Faculty of Engineering,Yokohama,Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University,Faculty of Engineering,Yokohama,Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001973195"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12400491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976000189781189,"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":0.9830999970436096,"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-logic","display_name":"Fuzzy logic","score":0.5206000208854675},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.4975000023841858},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4821000099182129},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4124999940395355},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3853999972343445},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3797000050544739},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6118999719619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663999915122986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5486000180244446},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5206000208854675},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.4975000023841858},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4821000099182129},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4124999940395355},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38420000672340393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C192122231","wikidata":"https://www.wikidata.org/wiki/Q4680754","display_name":"Adaptive mutation","level":3,"score":0.36550000309944153},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.34709998965263367},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz62266.2025.11152164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11152164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1591645366","https://openalex.org/W1989101984","https://openalex.org/W2022190944","https://openalex.org/W2023131636","https://openalex.org/W2051777484","https://openalex.org/W2084115770","https://openalex.org/W2098888151","https://openalex.org/W2125321720","https://openalex.org/W2140460921","https://openalex.org/W2161110999","https://openalex.org/W2163709832","https://openalex.org/W2477329842","https://openalex.org/W2909962776","https://openalex.org/W3114609984","https://openalex.org/W3120740533","https://openalex.org/W3173990975","https://openalex.org/W3192635571","https://openalex.org/W3212130854","https://openalex.org/W4212878315","https://openalex.org/W4220865118","https://openalex.org/W4384024720","https://openalex.org/W4401214120","https://openalex.org/W4402289129","https://openalex.org/W4408399572"],"related_works":["https://openalex.org/W4236695056","https://openalex.org/W87675884","https://openalex.org/W154406135","https://openalex.org/W2132859092","https://openalex.org/W2320922716","https://openalex.org/W2013143463","https://openalex.org/W2384503959","https://openalex.org/W2181335288","https://openalex.org/W2012019755","https://openalex.org/W2374152511"],"abstract_inverted_index":{"In":[0],"fuzzy":[1],"systems":[2],"such":[3,16],"as":[4,17],"Learning":[5],"Fuzzy-Classifier":[6],"Systems":[7],"(LFCSs),":[8],"an":[9,43],"appropriate":[10],"design":[11],"of":[12,67,98,193],"membership":[13],"functions":[14],"(MFs),":[15],"bell-shaped":[18],"or":[19],"triangular":[20],"ones,":[21],"is":[22],"crucial":[23],"for":[24,32],"achieving":[25],"high":[26],"performance.":[27,79],"However,":[28],"determining":[29],"suitable":[30],"MFs":[31,99],"unknown":[33],"tasks":[34],"remains":[35],"challenging,":[36],"which":[37,75,148],"often":[38],"requires":[39],"trial-and-error":[40],"approaches.":[41],"Recently,":[42],"LFCS":[44,137],"with":[45,144],"Self-Adaptive":[46],"Membership":[47],"(AFCS)":[48],"has":[49],"been":[50],"proposed":[51,104,146,177],"to":[52],"address":[53],"this":[54,82],"issue":[55],"by":[56,185],"automatically":[57],"adapting":[58],"MF":[59,69,111,187,195],"types":[60,70,188],"during":[61],"learning.":[62],"Nevertheless,":[63],"increasing":[64],"the":[65,72,95,145,176,182,191],"variety":[66],"adaptable":[68],"expands":[71],"search":[73],"space,":[74],"may":[76],"degrade":[77],"learning":[78,158],"To":[80],"overcome":[81],"challenge,":[83],"we":[84],"propose":[85],"a":[86],"stochastic":[87],"local":[88,107,151],"mutation":[89,178],"operator":[90,105,179],"that":[91,142,175],"models":[92],"and":[93,135,152,160],"exploits":[94],"probability":[96],"distribution":[97],"from":[100],"promising":[101],"rules.":[102],"The":[103],"performs":[106],"exploration":[108,116,154],"around":[109],"beneficial":[110],"structures":[112],"while":[113,189],"maintaining":[114,190],"global":[115,153],"capability":[117],"through":[118],"random":[119],"mutation.":[120],"We":[121],"evaluate":[122],"our":[123],"approach":[124],"using":[125],"25":[126],"classification":[127,162],"problems,":[128],"comparing":[129],"seven":[130],"methods":[131],"including":[132],"neural":[133],"networks":[134],"different":[136],"variants.":[138],"Experimental":[139],"results":[140],"demonstrate":[141],"AFCS":[143],"operator,":[147],"adaptively":[149],"combines":[150],"strategies,":[155],"improves":[156],"both":[157],"speed":[159],"final":[161],"accuracy,":[163],"demonstrating":[164],"statistically":[165],"significant":[166],"superiority":[167],"over":[168],"all":[169],"tested":[170],"methods.":[171],"These":[172],"findings":[173],"suggest":[174],"effectively":[180],"addresses":[181],"challenges":[183],"posed":[184],"increased":[186],"advantages":[192],"adaptive":[194],"selection":[196],"in":[197],"AFCS.":[198]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
