{"id":"https://openalex.org/W4408710240","doi":"https://doi.org/10.1109/tfuzz.2025.3552281","title":"Granular-Ball Computing-Based Fuzzy Twin Support Vector Machine for Pattern Classification","display_name":"Granular-Ball Computing-Based Fuzzy Twin Support Vector Machine for Pattern Classification","publication_year":2025,"publication_date":"2025-03-21","ids":{"openalex":"https://openalex.org/W4408710240","doi":"https://doi.org/10.1109/tfuzz.2025.3552281"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2025.3552281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3552281","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5035894939","display_name":"Guangming Lang","orcid":"https://orcid.org/0000-0003-4090-4074"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangming Lang","raw_affiliation_strings":["School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4090-4074","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100894062","display_name":"Lixi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixi Zhao","raw_affiliation_strings":["School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024791074","display_name":"Duoqian Miao","orcid":"https://orcid.org/0000-0001-6588-1468"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duoqian Miao","raw_affiliation_strings":["School of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6588-1468","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035894939"],"corresponding_institution_ids":["https://openalex.org/I56934997"],"apc_list":null,"apc_paid":null,"fwci":7.6992,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97301149,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"33","issue":"7","first_page":"2148","last_page":"2160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9437999725341797,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9146000146865845,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/support-vector-machine","display_name":"Support vector machine","score":0.7189784049987793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5944438576698303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5420109033584595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5139901041984558},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49398380517959595},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.46692559123039246},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.42417672276496887},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3347245156764984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3277580440044403},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.1271459460258484}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7189784049987793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944438576698303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5420109033584595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5139901041984558},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49398380517959595},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.46692559123039246},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.42417672276496887},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3347245156764984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3277580440044403},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.1271459460258484}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3552281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3552281","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5050742956","display_name":null,"funder_award_id":"2020JJ3034","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5438988925","display_name":null,"funder_award_id":"12471431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5799824509","display_name":null,"funder_award_id":"62376198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6425465237","display_name":null,"funder_award_id":"62076040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6695563415","display_name":null,"funder_award_id":"2022YFB3104700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1668569279","https://openalex.org/W1966665485","https://openalex.org/W1990171195","https://openalex.org/W1994807229","https://openalex.org/W2013932252","https://openalex.org/W2014788144","https://openalex.org/W2056840008","https://openalex.org/W2064741519","https://openalex.org/W2096060214","https://openalex.org/W2104908641","https://openalex.org/W2108997026","https://openalex.org/W2132425109","https://openalex.org/W2140509289","https://openalex.org/W2156145910","https://openalex.org/W2170860445","https://openalex.org/W2296744163","https://openalex.org/W2534830764","https://openalex.org/W2553029681","https://openalex.org/W2562742273","https://openalex.org/W2586200126","https://openalex.org/W2590235073","https://openalex.org/W2740125792","https://openalex.org/W2804758133","https://openalex.org/W2908436867","https://openalex.org/W2910487174","https://openalex.org/W2942289617","https://openalex.org/W2946461872","https://openalex.org/W3008335143","https://openalex.org/W3029713334","https://openalex.org/W3136584210","https://openalex.org/W3163875423","https://openalex.org/W3197156367","https://openalex.org/W3212449495","https://openalex.org/W4200182641","https://openalex.org/W4221140034","https://openalex.org/W4249465073","https://openalex.org/W4293562735","https://openalex.org/W4304480780","https://openalex.org/W4317033383","https://openalex.org/W4322576590","https://openalex.org/W4375859491","https://openalex.org/W4384521938","https://openalex.org/W4384787753","https://openalex.org/W4386812886","https://openalex.org/W4386826606","https://openalex.org/W4388543985","https://openalex.org/W4390357743","https://openalex.org/W4391179629","https://openalex.org/W4396712983","https://openalex.org/W4396854620","https://openalex.org/W4399566387","https://openalex.org/W4400229240","https://openalex.org/W4400960744","https://openalex.org/W4401413436","https://openalex.org/W4401725147","https://openalex.org/W4407008797"],"related_works":["https://openalex.org/W1948992892","https://openalex.org/W2186666570","https://openalex.org/W4247599326","https://openalex.org/W2104936869","https://openalex.org/W4253128984","https://openalex.org/W2384390720","https://openalex.org/W2143867687","https://openalex.org/W2565312173","https://openalex.org/W2364362706","https://openalex.org/W2762336871"],"abstract_inverted_index":{"The":[0],"twin":[1,12],"support":[2,13],"vector":[3,14],"machine":[4,15],"(TWSVM)":[5],"classifier":[6,101,165],"and":[7,66,119,181,184,200],"its":[8],"fuzzy":[9,11,128],"variant":[10],"(FTSVM)":[16],"have":[17],"received":[18],"considerable":[19],"attention":[20],"due":[21],"to":[22,55],"their":[23,28,186,210],"low":[24],"computational":[25,198],"complexity.":[26],"However,":[27],"performance":[29,187],"often":[30],"deteriorates":[31],"when":[32],"the":[33,47,71,80,99,111,117,136,144,152,163,167,179,195,203],"input":[34,145],"data":[35],"is":[36],"affected":[37],"by":[38,61,102],"noise.":[39],"To":[40],"overcome":[41],"this":[42,44],"limitation,":[43],"study":[45],"leverages":[46],"robustness":[48,201],"of":[49,95,122,135,138,159,169,202],"granular-ball":[50,72,89,112],"computing":[51],"(GBC)":[52],"against":[53],"noise":[54],"develop":[56,110],"more":[57,132],"effective":[58],"classification":[59],"models":[60],"integrating":[62],"GBC":[63,78],"with":[64,79,88],"TWSVM":[65,73,81],"FTSVM.":[67],"First,":[68],"we":[69,91,109,155,175],"introduce":[70],"(GBTWSVM)":[74],"classifier,":[75,115],"which":[76],"incorporates":[77],"framework.":[82],"By":[83,147],"replacing":[84],"traditional":[85],"point-wise":[86],"inputs":[87],"representations,":[90],"derive":[92,156],"a":[93,104,131,157,170],"pair":[94,158],"nonparallel":[96,160],"hyperplanes":[97,161],"for":[98,162,178,215],"GBTWSVM":[100,180],"solving":[103],"quadratic":[105,171],"programming":[106,172],"problem.":[107,173],"Afterwards,":[108],"FTSVM":[113,153],"(GBFTSVM)":[114],"where":[116],"membership":[118],"nonmembership":[120],"functions":[121,150],"granular-balls":[123,139],"are":[124],"defined":[125],"using":[126],"Pythagorean":[127],"sets,":[129],"enabling":[130],"nuanced":[133],"differentiation":[134],"contributions":[137],"from":[140],"distinct":[141],"regions":[142],"within":[143],"space.":[146],"incorporating":[148],"these":[149],"into":[151],"framework,":[154],"GBFTSVM":[164,182],"through":[166],"solution":[168],"Finally,":[174],"present":[176],"algorithms":[177],"classifiers":[183,205],"evaluate":[185],"on":[188],"21":[189],"benchmark":[190],"datasets.":[191],"Experimental":[192],"results":[193],"demonstrate":[194],"superior":[196],"scalability,":[197],"efficiency,":[199],"proposed":[204],"in":[206],"pattern":[207],"recognition,":[208],"highlighting":[209],"potential":[211],"as":[212],"advanced":[213],"tools":[214],"noise-tolerant":[216],"classification.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}