{"id":"https://openalex.org/W2130887320","doi":"https://doi.org/10.1109/icmlc.2012.6358965","title":"Fuzzy support vector machine based on non-equilibrium data","display_name":"Fuzzy support vector machine based on non-equilibrium data","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2130887320","doi":"https://doi.org/10.1109/icmlc.2012.6358965","mag":"2130887320"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2012.6358965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","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/A5102133395","display_name":"Da-Zeng Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da-Zeng Tian","raw_affiliation_strings":["Faculty of Physics Science and Technology, Hebei University, Baoding, China","Faculty of Physics Science and Technology, Hebei University, Baoding 071002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Physics Science and Technology, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Faculty of Physics Science and Technology, Hebei University, Baoding 071002, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034730945","display_name":"Gui-Bing Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Bing Peng","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China)","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081848543","display_name":"Minghu Ha","orcid":"https://orcid.org/0000-0002-1537-3542"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Hu Ha","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hebei University, Baoding, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hebei University, Baoding 071002, China)","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.2244,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.50577015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"448","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9943000078201294,"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":0.9943000078201294,"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":0.9922000169754028,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8433226346969604},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7763501405715942},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.7541955709457397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6948854923248291},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5480010509490967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.538932740688324},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4868270754814148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.471506267786026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4504023492336273},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43648576736450195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3856254518032074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27326369285583496}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8433226346969604},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7763501405715942},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.7541955709457397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6948854923248291},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5480010509490967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.538932740688324},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4868270754814148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.471506267786026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4504023492336273},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43648576736450195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3856254518032074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27326369285583496},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/icmlc.2012.6358965","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2012.6358965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1601740268","https://openalex.org/W1994807229","https://openalex.org/W2096059361","https://openalex.org/W2102978615","https://openalex.org/W2139212933","https://openalex.org/W2279641518","https://openalex.org/W2356903403","https://openalex.org/W2357984759","https://openalex.org/W2362106822","https://openalex.org/W2362988748","https://openalex.org/W2376223357","https://openalex.org/W6674760776"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2161440356","https://openalex.org/W2383335574","https://openalex.org/W1489507320","https://openalex.org/W233771590","https://openalex.org/W2127616648","https://openalex.org/W2348510359","https://openalex.org/W3121830895","https://openalex.org/W2900686919","https://openalex.org/W2047800684"],"abstract_inverted_index":{"Fuzzy":[0],"support":[1,21,38,47],"vector":[2,22],"machine":[3,23],"(FSVM),":[4],"whose":[5],"membership":[6,76],"function":[7,77],"is":[8,25,78,88],"based":[9,84],"on":[10,85],"class":[11,105],"centers,":[12],"can":[13,96],"effectively":[14,97],"solve":[15],"the":[16,19,28,43,50,56,66,93,99,104,117,122],"problem":[17],"that":[18,92],"traditional":[20],"(SVM)":[24],"sensitive":[26],"to":[27,37,74],"noises":[29],"and":[30,80],"outliers.":[31],"However,":[32],"FSVM":[33,59,83,95,119],"assigns":[34],"smaller":[35],"memberships":[36],"vectors,":[39],"which":[40],"may":[41,120],"decrease":[42],"effects":[44],"of":[45,52],"these":[46],"vectors":[48],"upon":[49,125],"construction":[51],"classification":[53,114],"hyperplane.":[54],"At":[55],"same":[57],"time,":[58],"has":[60],"some":[61],"disadvantages":[62],"in":[63,109],"dealing":[64,110],"with":[65,106,111],"non-equilibrium":[67,86,112],"data":[68,87,113],"classification.":[69],"Therefore,":[70,116],"a":[71,81],"novel":[72],"method":[73],"determine":[75],"proposed,":[79],"new":[82,94],"constructed.":[89],"Experiments":[90],"show":[91],"reduce":[98],"misclassification":[100,123],"rates":[101,124],"produced":[102],"by":[103],"fewer":[107],"samples":[108],"problem.":[115],"proposed":[118],"make":[121],"two":[126],"classes":[127],"approximately":[128],"equal.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}