{"id":"https://openalex.org/W2043954410","doi":"https://doi.org/10.1109/bmei.2012.6513087","title":"A novel fuzzy support vector machine based on the confidence","display_name":"A novel fuzzy support vector machine based on the confidence","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2043954410","doi":"https://doi.org/10.1109/bmei.2012.6513087","mag":"2043954410"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6513087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6513087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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/A5052086121","display_name":"Sidong Xian","orcid":"https://orcid.org/0000-0002-9871-4444"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sidong Xian","raw_affiliation_strings":["School of Mathematics and Physics, Chongqing University of Posts &amp; Telecommunications, China, Chongqing 400065","Sch. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Chongqing University of Posts &amp; Telecommunications, China, Chongqing 400065","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Sch. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581381","display_name":"Jie Xia","orcid":"https://orcid.org/0009-0005-5688-1649"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xia","raw_affiliation_strings":["Senior Middle School of Chongqing Yuzui China, Chongqing 401133","Senior Middle Sch. of Chongqing Yuzui, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Senior Middle School of Chongqing Yuzui China, Chongqing 401133","institution_ids":["https://openalex.org/I158842170"]},{"raw_affiliation_string":"Senior Middle Sch. of Chongqing Yuzui, Chongqing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023158018","display_name":"Dong Qiu","orcid":"https://orcid.org/0000-0002-4088-5371"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Qiu","raw_affiliation_strings":["School of Mathematics and Physics, Chongqing University of Posts &amp; Telecommunications, China, Chongqing 400065","Sch. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Chongqing University of Posts &amp; Telecommunications, China, Chongqing 400065","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Sch. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779298","display_name":"Yonghong Li","orcid":"https://orcid.org/0009-0003-0089-207X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Li","raw_affiliation_strings":["School of Mathematics and Physics, Chongqing University of Posts &amp; Telecommunications, China, Chongqing 400065","Sch. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Chongqing University of Posts &amp; Telecommunications, China, Chongqing 400065","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Sch. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052086121"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11541034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1542","last_page":"1546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.995199978351593,"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":0.995199978351593,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9699000120162964,"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/T10320","display_name":"Neural Networks and Applications","score":0.9653000235557556,"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/membership-function","display_name":"Membership function","score":0.6683849692344666},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.6132410764694214},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6054676175117493},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5950470566749573},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5614310503005981},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5585666298866272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5374027490615845},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5125443935394287},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.47265923023223877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46035119891166687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45628294348716736},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45407426357269287},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4522448778152466},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4500728249549866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42718178033828735},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.050517767667770386}],"concepts":[{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.6683849692344666},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.6132410764694214},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6054676175117493},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5950470566749573},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5614310503005981},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5585666298866272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5374027490615845},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5125443935394287},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.47265923023223877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46035119891166687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45628294348716736},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45407426357269287},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4522448778152466},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4500728249549866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42718178033828735},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.050517767667770386}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2012.6513087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6513087","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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":19,"referenced_works":["https://openalex.org/W34176136","https://openalex.org/W1932963602","https://openalex.org/W1978832675","https://openalex.org/W1988937832","https://openalex.org/W1994807229","https://openalex.org/W2015362259","https://openalex.org/W2033133085","https://openalex.org/W2076920001","https://openalex.org/W2096059361","https://openalex.org/W2108995755","https://openalex.org/W2141718589","https://openalex.org/W2143750468","https://openalex.org/W2156909104","https://openalex.org/W2988401301","https://openalex.org/W3144619878","https://openalex.org/W4239510810","https://openalex.org/W6640415645","https://openalex.org/W6674760776","https://openalex.org/W6681382188"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W3176863924","https://openalex.org/W1485268022","https://openalex.org/W2060361571","https://openalex.org/W3186561448","https://openalex.org/W2674573885","https://openalex.org/W2781808531","https://openalex.org/W1975005191","https://openalex.org/W3207735076","https://openalex.org/W4361984403"],"abstract_inverted_index":{"In":[0,58],"this":[1],"paper,":[2],"we":[3,20,81],"have":[4],"focused":[5],"on":[6,34],"a":[7,22,60],"proper":[8],"fuzzy":[9,14,24,28,43],"membership":[10,25,44],"function":[11,26,45],"of":[12,40,78,96],"the":[13,35,38,49,67,76,79,85,89,94],"support":[15],"vector":[16,30],"machine":[17],"(FSVM).":[18],"And":[19],"propose":[21],"novel":[23],"for":[27],"Supper":[29],"Machines":[31],"(NFSVM)":[32],"based":[33],"confidence":[36],"in":[37,48],"theory":[39],"uncertainty.":[41],"The":[42],"is":[46,53,63],"calculated":[47],"feature":[50],"space":[51],"and":[52,70,92],"represented":[54],"by":[55],"kernel":[56],"function.":[57],"addition,":[59],"numerical":[61],"example":[62],"used":[64],"to":[65],"demonstrate":[66],"proposed":[68],"method":[69],"compare":[71],"with":[72],"other":[73],"methods.":[74],"On":[75],"basis":[77],"results,":[80],"can":[82,87],"conclude":[83],"that":[84],"NFSVM":[86],"improve":[88],"classification":[90],"accuracy":[91],"reduce":[93],"effects":[95],"outliers.":[97]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
