{"id":"https://openalex.org/W4282932325","doi":"https://doi.org/10.1109/tcyb.2022.3165879","title":"Intuitionistic Fuzzy Weighted Least Squares Twin SVMs","display_name":"Intuitionistic Fuzzy Weighted Least Squares Twin SVMs","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4282932325","doi":"https://doi.org/10.1109/tcyb.2022.3165879","pmid":"https://pubmed.ncbi.nlm.nih.gov/35687632"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3165879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3165879","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/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":true,"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":"middle","author":{"id":"https://openalex.org/A5033429345","display_name":"M. A. Ganaie","orcid":"https://orcid.org/0000-0002-3986-4434"},"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. A. Ganaie","raw_affiliation_strings":["Department of Mathematics, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":"https://orcid.org/0000-0002-3986-4434","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/A5018297185","display_name":"A. Bhattacharjee","orcid":null},"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":"A. Bhattacharjee","raw_affiliation_strings":["Department of Mathematics, Indian Institute of Technology Indore, Indore, India"],"raw_orcid":null,"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":"C. T. Lin","raw_affiliation_strings":["Centre for Artificial Intelligence, 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":"Centre for Artificial Intelligence, 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":4,"corresponding_author_ids":["https://openalex.org/A5004222223"],"corresponding_institution_ids":["https://openalex.org/I64295750"],"apc_list":null,"apc_paid":null,"fwci":5.4857,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97005037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"53","issue":"7","first_page":"4400","last_page":"4409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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":0.9983999729156494,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6616210341453552},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5930443406105042},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5210527777671814},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5209104418754578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5027973651885986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5001933574676514},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.46040213108062744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4449027180671692},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4376753866672516},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4322269856929779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4165616035461426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4013667404651642},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33111825585365295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32055747509002686},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1521710753440857}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6616210341453552},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5930443406105042},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5210527777671814},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5209104418754578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5027973651885986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5001933574676514},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.46040213108062744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4449027180671692},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4376753866672516},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4322269856929779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4165616035461426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4013667404651642},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33111825585365295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32055747509002686},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1521710753440857},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2022.3165879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3165879","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:35687632","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35687632","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1203488652","display_name":null,"funder_award_id":"22(0751)/17/EMR-II","funder_id":"https://openalex.org/F4320320721","funder_display_name":"Council of Scientific and Industrial Research, India"},{"id":"https://openalex.org/G1492840825","display_name":null,"funder_award_id":"MTR/2021/000787","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"},{"id":"https://openalex.org/G5342562053","display_name":null,"funder_award_id":"ECR/2017/000053","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"},{"id":"https://openalex.org/G5686132265","display_name":null,"funder_award_id":"SB/S2/RJN-001/2016","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320320721","display_name":"Council of Scientific and Industrial Research, India","ror":"https://ror.org/021wm7p51"},{"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":45,"referenced_works":["https://openalex.org/W1981107087","https://openalex.org/W1994807229","https://openalex.org/W2001305057","https://openalex.org/W2019184604","https://openalex.org/W2020888723","https://openalex.org/W2038445713","https://openalex.org/W2065755229","https://openalex.org/W2068756725","https://openalex.org/W2089394015","https://openalex.org/W2090089568","https://openalex.org/W2132425109","https://openalex.org/W2136627475","https://openalex.org/W2143328598","https://openalex.org/W2144396081","https://openalex.org/W2147813562","https://openalex.org/W2148603752","https://openalex.org/W2156145910","https://openalex.org/W2165966284","https://openalex.org/W2170860445","https://openalex.org/W2182722412","https://openalex.org/W2259870775","https://openalex.org/W2296744163","https://openalex.org/W2332738317","https://openalex.org/W2337945445","https://openalex.org/W2343106965","https://openalex.org/W2594323454","https://openalex.org/W2601596382","https://openalex.org/W2604976543","https://openalex.org/W2730020078","https://openalex.org/W2780628352","https://openalex.org/W2783299469","https://openalex.org/W2790277807","https://openalex.org/W2793988933","https://openalex.org/W2824314963","https://openalex.org/W2895197860","https://openalex.org/W2910487174","https://openalex.org/W2940511651","https://openalex.org/W2948282865","https://openalex.org/W2964401628","https://openalex.org/W3002520801","https://openalex.org/W3084853684","https://openalex.org/W3120740533","https://openalex.org/W3157698638","https://openalex.org/W6681034063","https://openalex.org/W6783148792"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2090763504","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933"],"abstract_inverted_index":{"Fuzzy":[0,24],"membership":[1,29,154],"is":[2,104,119,210],"an":[3,218],"effective":[4],"approach":[5,141,168],"used":[6,221],"in":[7,21],"twin":[8,25],"support":[9,53,81],"vector":[10],"machines":[11],"(SVMs)":[12],"to":[13,31,50,73,158,200,212],"reduce":[14,32,74,159],"the":[15,33,40,43,65,75,100,107,147,160,178,182,188,202,205,214,222,226],"effect":[16,34,76,161],"of":[17,35,42,67,77,162,172,176,204,228],"noise":[18,163],"and":[19,47,55,79,89,110,150,155,164],"outliers":[20,78],"classification":[22,137],"problems.":[23,138],"SVMs":[26],"(TWSVMs)":[27],"assign":[28],"weights":[30,157],"outliers,":[36],"however,":[37],"it":[38],"ignores":[39],"positioning":[41],"input":[44],"data":[45,108,148],"samples":[46],"hence":[48],"fails":[49],"distinguish":[51,80],"between":[52],"vectors":[54,82],"noise.":[56,84],"To":[57,122],"overcome":[58,123],"this":[59],"issue,":[60],"intuitionistic":[61,68,90,130,190],"fuzzy":[62,69,91,131,191],"TWSVM":[63],"combined":[64],"concept":[66],"number":[70],"with":[71],"TWSVMs":[72,88,92,135,195],"from":[83,95],"Despite":[85],"these":[86,124],"benefits,":[87],"still":[93],"suffer":[94],"some":[96],"drawbacks":[97],"as:":[98],"1)":[99],"local":[101,143],"neighborhood":[102,144],"information":[103,145],"ignored":[105],"among":[106,146],"points":[109,149],"2)":[111],"they":[112],"solve":[113],"quadratic":[114],"programming":[115],"problems":[116],"(QPPs),":[117],"which":[118,180],"computationally":[120],"inefficient.":[121],"issues,":[125],"we":[126,220],"propose":[127],"a":[128,170],"novel":[129],"weighted":[132,192],"least":[133,193],"squares":[134,194],"for":[136,225],"The":[139,166],"proposed":[140,167,189,206,223],"uses":[142,152],"also":[151],"both":[153],"nonmembership":[156],"outliers.":[165],"solves":[169],"system":[171],"linear":[173],"equations":[174],"instead":[175],"solving":[177],"QPPs":[179],"makes":[181],"model":[183,224],"more":[184],"efficient.":[185],"We":[186],"evaluated":[187],"on":[196],"several":[197],"benchmark":[198],"datasets":[199],"show":[201],"efficiency":[203],"model.":[207],"Statistical":[208],"analysis":[209],"done":[211],"quantify":[213],"results":[215],"statistically.":[216],"As":[217],"application,":[219],"diagnosis":[227],"Schizophrenia":[229],"disease.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":12}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}