{"id":"https://openalex.org/W2116951594","doi":"https://doi.org/10.1109/fuzzy.2010.5584598","title":"Fuzzy support vector machine with a fuzzy nearest neighbor classifier for insect footprint classification","display_name":"Fuzzy support vector machine with a fuzzy nearest neighbor classifier for insect footprint classification","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2116951594","doi":"https://doi.org/10.1109/fuzzy.2010.5584598","mag":"2116951594"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053110458","display_name":"Gyeongyong Heo","orcid":null},"institutions":[{"id":"https://openalex.org/I204974687","display_name":"Dong-Eui University","ror":"https://ror.org/059g69b28","country_code":"KR","type":"education","lineage":["https://openalex.org/I204974687"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gyeongyong Heo","raw_affiliation_strings":["Department of Multimedia Engineering, Dongeui University, Busan, South Korea","Department of Multimedia Engineering, Dong-Eui University, Busan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongeui University, Busan, South Korea","institution_ids":["https://openalex.org/I204974687"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dong-Eui University, Busan, Korea","institution_ids":["https://openalex.org/I204974687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087111199","display_name":"Reinhard Klette","orcid":"https://orcid.org/0000-0001-8818-7145"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Reinhard Klette","raw_affiliation_strings":["Department of Computer Science, University of Auckland, Auckland, New Zealand","Department of Computer Science The University of Auckland  Auckland New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"Department of Computer Science The University of Auckland  Auckland New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102151764","display_name":"Young Woon Woo","orcid":null},"institutions":[{"id":"https://openalex.org/I204974687","display_name":"Dong-Eui University","ror":"https://ror.org/059g69b28","country_code":"KR","type":"education","lineage":["https://openalex.org/I204974687"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Woon Woo","raw_affiliation_strings":["Department of Multimedia Engineering, Dongeui University, Busan, South Korea","Department of Multimedia Engineering, Dong-Eui University, Busan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Multimedia Engineering, Dongeui University, Busan, South Korea","institution_ids":["https://openalex.org/I204974687"]},{"raw_affiliation_string":"Department of Multimedia Engineering, Dong-Eui University, Busan, Korea","institution_ids":["https://openalex.org/I204974687"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060216286","display_name":"Kwang-Baek Kim","orcid":"https://orcid.org/0000-0001-9475-8223"},"institutions":[{"id":"https://openalex.org/I4210123920","display_name":"Silla University","ror":"https://ror.org/02w3gk008","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210123920"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Baek Kim","raw_affiliation_strings":["Division of Computer Information and Engineering, Silla University, Busan, South Korea","Division of Computer Information and Engineering, Silla University, Busan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Computer Information and Engineering, Silla University, Busan, South Korea","institution_ids":["https://openalex.org/I4210123920"]},{"raw_affiliation_string":"Division of Computer Information and Engineering, Silla University, Busan, Korea","institution_ids":["https://openalex.org/I4210123920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047960213","display_name":"Nam Ho Kim","orcid":"https://orcid.org/0000-0002-0221-9749"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Nam Ho Kim","raw_affiliation_strings":["Division of Electrical and Control Engineering, Pukyong National University, Busan, South Korea","Division of Electrical and Control Engineering, Pukyong National University, Busan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Electrical and Control Engineering, Pukyong National University, Busan, South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Division of Electrical and Control Engineering, Pukyong National University, Busan, Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7214412689208984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.693728506565094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6732974052429199},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6526086330413818},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.597419798374176},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5372951030731201},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5369169116020203},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5157483220100403},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4875478148460388},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.445695161819458},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3866257071495056}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7214412689208984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693728506565094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6732974052429199},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6526086330413818},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.597419798374176},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5372951030731201},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5369169116020203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5157483220100403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4875478148460388},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.445695161819458},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3866257071495056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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":25,"referenced_works":["https://openalex.org/W1978832675","https://openalex.org/W1994807229","https://openalex.org/W2031691963","https://openalex.org/W2040895929","https://openalex.org/W2099854653","https://openalex.org/W2109943925","https://openalex.org/W2114213574","https://openalex.org/W2122111042","https://openalex.org/W2133772980","https://openalex.org/W2140095548","https://openalex.org/W2141358266","https://openalex.org/W2142387771","https://openalex.org/W2143347602","https://openalex.org/W2143750468","https://openalex.org/W2145295623","https://openalex.org/W2148603752","https://openalex.org/W2148731051","https://openalex.org/W2149563038","https://openalex.org/W2161384817","https://openalex.org/W2166193663","https://openalex.org/W4237821404","https://openalex.org/W4246066915","https://openalex.org/W4254721730","https://openalex.org/W6680751671","https://openalex.org/W6681637810"],"related_works":["https://openalex.org/W87675884","https://openalex.org/W154406135","https://openalex.org/W2132859092","https://openalex.org/W2320922716","https://openalex.org/W2166637398","https://openalex.org/W2384503959","https://openalex.org/W2181335288","https://openalex.org/W2012019755","https://openalex.org/W2374152511","https://openalex.org/W2013143463"],"abstract_inverted_index":{"The":[0,52,133,155],"support":[1],"vector":[2],"machine":[3],"(SVM)":[4],"of":[5,49,71,117,171],"statistical":[6],"learning":[7],"theory":[8],"was":[9,39,158],"successfully":[10],"applied":[11,159],"in":[12,59,122,151],"various":[13,148],"fields,":[14],"but":[15],"still":[16],"suffers":[17],"from":[18,22],"noise":[19],"sensitivity":[20],"originating":[21],"the":[23,27,37,47,69,87,115,118,143,169,172],"fact":[24],"that":[25,126],"all":[26],"data":[28,131,139,149],"points":[29],"are":[30,107],"treated":[31],"equally.":[32],"To":[33],"relax":[34],"this":[35,83],"problem,":[36,165],"SVM":[38,44],"extended":[40,58],"into":[41],"a":[42,64,77,92,98,129],"fuzzy":[43,50,99],"(FSVM)":[45],"by":[46,62,75,90],"introduction":[48],"memberships.":[51],"FSVM":[53],"also":[54],"has":[55],"been":[56],"further":[57],"two":[60],"ways,":[61],"adopting":[63],"different":[65,78],"objective":[66],"function":[67],"with":[68],"help":[70],"domain-specific":[72],"knowledge,":[73],"or":[74],"employing":[76],"membership":[79,94,110],"calculation":[80,95,111],"method.":[81,173],"In":[82],"paper":[84],"we":[85],"follow":[86],"second":[88],"approach":[89],"proposing":[91],"new":[93],"method":[96,145],"using":[97],"k":[100],"nearest":[101],"neighbor":[102],"classifier":[103],"(F-KNN).":[104],"Although":[105],"there":[106],"already":[108],"several":[109],"methods":[112,124],"to":[113,146,160],"enhance":[114],"performance":[116],"FSVM,":[119],"one":[120],"problem":[121],"those":[123],"is":[125],"they":[127],"assume":[128,137],"specific":[130],"distribution.":[132],"F-KNN":[134],"does":[135],"not":[136],"any":[138],"distribution,":[140],"which":[141],"helps":[142],"proposed":[144,156],"accommodate":[147],"distributions":[150],"real":[152],"world":[153],"problems.":[154],"algorithm":[157],"an":[161],"insect":[162],"footprint":[163],"classification":[164],"and":[166],"results":[167],"verify":[168],"effectiveness":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}