{"id":"https://openalex.org/W4400228259","doi":"https://doi.org/10.1109/tfuzz.2024.3421638","title":"Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications","display_name":"Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications","publication_year":2024,"publication_date":"2024-07-02","ids":{"openalex":"https://openalex.org/W4400228259","doi":"https://doi.org/10.1109/tfuzz.2024.3421638"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3421638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3421638","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/A5074412006","display_name":"Anuradha Kumari","orcid":"https://orcid.org/0000-0002-9056-8761"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anuradha Kumari","raw_affiliation_strings":["Department of Mathematics, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0002-9056-8761","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004222223","display_name":"M. Tanveer","orcid":"https://orcid.org/0000-0002-5727-3697"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Tanveer","raw_affiliation_strings":["Department of Mathematics, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0002-5727-3697","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Indian Institute of Technology Indore, Indore, India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058936239","display_name":"Chin\u2010Teng Lin","orcid":"https://orcid.org/0000-0001-8371-8197"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chin-Teng Lin","raw_affiliation_strings":["GrapheneX-UTS Human-Centric Artificial Intelligence Centre and Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8371-8197","affiliations":[{"raw_affiliation_string":"GrapheneX-UTS Human-Centric Artificial Intelligence Centre and Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8214,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70062576,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"32","issue":"9","first_page":"5348","last_page":"5358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9930999875068665,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9930999875068665,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9911999702453613,"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/T10320","display_name":"Neural Networks and Applications","score":0.9799000024795532,"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/support-vector-machine","display_name":"Support vector machine","score":0.6288673877716064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5231022834777832},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5133053660392761},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.5094028115272522},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4338376522064209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40157780051231384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3957896828651428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37395375967025757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3226662576198578}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6288673877716064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5231022834777832},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5133053660392761},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.5094028115272522},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4338376522064209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40157780051231384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3957896828651428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37395375967025757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3226662576198578},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3421638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3421638","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":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1287172568","display_name":"AI-Human Empowered Team Decision-Making","funder_award_id":"DP220100803","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W237453626","https://openalex.org/W1596717185","https://openalex.org/W1994807229","https://openalex.org/W2019184604","https://openalex.org/W2019207321","https://openalex.org/W2068756725","https://openalex.org/W2096810317","https://openalex.org/W2098841537","https://openalex.org/W2136627475","https://openalex.org/W2170860445","https://openalex.org/W2182722412","https://openalex.org/W2804758133","https://openalex.org/W2824314963","https://openalex.org/W2910487174","https://openalex.org/W2962899421","https://openalex.org/W2966040026","https://openalex.org/W2997546679","https://openalex.org/W3007428445","https://openalex.org/W3157698638","https://openalex.org/W3159913937","https://openalex.org/W3178549468","https://openalex.org/W3213860882","https://openalex.org/W4200182641","https://openalex.org/W4205821229","https://openalex.org/W4220693559","https://openalex.org/W4221129249","https://openalex.org/W4239510810","https://openalex.org/W4282932325","https://openalex.org/W4289169647","https://openalex.org/W4291624804","https://openalex.org/W4292069076","https://openalex.org/W4309763130","https://openalex.org/W4321609006","https://openalex.org/W4379646798","https://openalex.org/W4380324584","https://openalex.org/W4384787753"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W135622916"],"abstract_inverted_index":{"In":[0],"practical":[1],"applications,":[2],"datasets":[3,186,204],"frequently":[4],"encompass":[5],"noise,":[6],"outliers,":[7],"and":[8,23,97,110,184,205,212,218],"imbalanced":[9],"classes,":[10],"which":[11],"can":[12],"markedly":[13],"affect":[14],"a":[15,90,150],"model's":[16,200],"generalization":[17],"performance.":[18],"Support":[19],"vector":[20,73],"machine":[21,74],"(SVM)":[22],"its":[24,176,237],"twin":[25,71],"variant":[26],"i.e.,":[27],"TWSVM":[28,46],"tend":[29],"to":[30,39,84,156,167,192,208],"be":[31],"biased":[32],"towards":[33],"the":[34,42,62,85,114,128,132,143,159,163,169,197,216,230,244],"majority":[35,86],"class":[36,44,87,106,129],"samples,":[37],"leading":[38],"misclassification":[40],"of":[41,105,113,134,145,152,171],"minority":[43,148],"samples.":[45],"suffers":[47],"from":[48,127,147,190],"this":[49],"biasness":[50],"as":[51,121],"it":[52,207],"generates":[53],"hyperplanes":[54],"without":[55],"considering":[56],"preceding":[57],"data":[58,77,122],"information.":[59],"To":[60,141,174],"address":[61],"aforementioned":[63],"issues,":[64],"we":[65,178,195],"propose":[66],"bell-shaped":[67,108,117],"fuzzy":[68],"least":[69],"square":[70],"support":[72],"for":[75,239],"imbalance":[76,111,188],"(BSFLSTSVM-ID).":[78],"The":[79,100,116,226],"proposed":[80,160,198,231],"BSFLSTSVM-ID":[81,161,199,232],"allocates":[82],"weight":[83,151],"samples":[88,146],"through":[89],"novel":[91],"membership":[92],"function,":[93,109],"namely,":[94],"\u201cclass":[95],"probability":[96],"bell-shaped\u201d":[98],"(CPBS).":[99],"CPBS":[101],"function":[102],"is":[103,154],"amalgamation":[104],"probability,":[107],"ratio":[112],"dataset.":[115],"function's":[118],"value":[119],"diminishes":[120],"points":[123],"move":[124],"farther":[125],"away":[126],"center,":[130],"reducing":[131],"influence":[133],"noise":[135],"or":[136],"outliers":[137],"in":[138,243],"constructing":[139],"hyperplanes.":[140],"underscore":[142],"importance":[144],"class,":[149],"one":[153],"assigned":[155],"them.":[157],"Furthermore,":[158],"utilizes":[162],"conjugate":[164],"gradient":[165],"method":[166],"handle":[168],"challenge":[170],"matrix":[172],"inversion.":[173],"demonstrate":[175],"effectiveness,":[177],"conducted":[179],"experiments":[180],"on":[181,202],"59":[182],"UCI":[183],"KEEL":[185],"with":[187],"ratios":[189],"1":[191],"72.69.":[193],"Additionally,":[194],"tested":[196],"scalability":[201],"NDC":[203],"applied":[206],"diagnosing":[209],"breast":[210],"cancer":[211],"Alzheimer's":[213,219],"disease":[214],"using":[215],"BreakHis":[217],"Disease":[220],"Neuroimaging":[221],"Initiative":[222],"(ADNI)":[223],"datasets,":[224],"respectively.":[225],"results":[227],"show":[228],"that":[229],"outperforms":[233],"baseline":[234],"models,":[235],"highlighting":[236],"potential":[238],"tackling":[240],"classification":[241],"challenges":[242],"biomedical":[245],"domain.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}