{"id":"https://openalex.org/W4396597343","doi":"https://doi.org/10.1109/tsmc.2024.3389464","title":"Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices","display_name":"Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices","publication_year":2024,"publication_date":"2024-05-02","ids":{"openalex":"https://openalex.org/W4396597343","doi":"https://doi.org/10.1109/tsmc.2024.3389464"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2024.3389464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3389464","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: 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/A5011848136","display_name":"Zuowei Zhang","orcid":"https://orcid.org/0000-0002-4855-5924"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuowei Zhang","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4855-5924","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038197310","display_name":"Zhunga Liu","orcid":"https://orcid.org/0000-0001-7144-7449"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhunga Liu","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-7144-7449","affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078528204","display_name":"Hongpeng Tian","orcid":"https://orcid.org/0000-0001-9212-7719"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongpeng Tian","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0001-9212-7719","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Luoyang, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066460460","display_name":"Arnaud Martin","orcid":"https://orcid.org/0000-0003-0882-0153"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Martin","raw_affiliation_strings":["Univ. Rennes, CNRS, IRISA, DRUID, Lannion, France"],"raw_orcid":"https://orcid.org/0000-0003-0882-0153","affiliations":[{"raw_affiliation_string":"Univ. Rennes, CNRS, IRISA, DRUID, Lannion, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2802519937","https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9738,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86971875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"54","issue":"8","first_page":"4772","last_page":"4785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9907000064849854,"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":0.9907000064849854,"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/T10136","display_name":"Statistical Methods and Inference","score":0.968500018119812,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9574000239372253,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7318283319473267},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.6994491219520569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4607594609260559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4081772565841675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3464907705783844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3384120762348175},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16914328932762146}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7318283319473267},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.6994491219520569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4607594609260559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4081772565841675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3464907705783844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3384120762348175},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16914328932762146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2024.3389464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2024.3389464","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"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 Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6289676164","display_name":null,"funder_award_id":"G2023KY05102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6397819278","display_name":null,"funder_award_id":"U20B2067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1821527080","https://openalex.org/W1964832275","https://openalex.org/W1983479840","https://openalex.org/W1985419027","https://openalex.org/W1988013567","https://openalex.org/W1992329416","https://openalex.org/W2008599619","https://openalex.org/W2039125701","https://openalex.org/W2064186732","https://openalex.org/W2066843515","https://openalex.org/W2071563913","https://openalex.org/W2083143867","https://openalex.org/W2089367555","https://openalex.org/W2096863518","https://openalex.org/W2113242816","https://openalex.org/W2139580021","https://openalex.org/W2143329262","https://openalex.org/W2146332392","https://openalex.org/W2155957617","https://openalex.org/W2193720533","https://openalex.org/W2293710996","https://openalex.org/W2403746960","https://openalex.org/W2606436201","https://openalex.org/W2726357088","https://openalex.org/W2756848027","https://openalex.org/W2761515540","https://openalex.org/W2946021995","https://openalex.org/W2963803440","https://openalex.org/W2966067846","https://openalex.org/W3015634218","https://openalex.org/W3021335809","https://openalex.org/W3033245467","https://openalex.org/W3034536504","https://openalex.org/W3083547659","https://openalex.org/W3112471579","https://openalex.org/W3118527880","https://openalex.org/W3120347279","https://openalex.org/W3134822772","https://openalex.org/W3156643091","https://openalex.org/W3171398265","https://openalex.org/W3173585909","https://openalex.org/W4229025315","https://openalex.org/W4236137412","https://openalex.org/W4285243504","https://openalex.org/W4289535947","https://openalex.org/W4296916927","https://openalex.org/W4301347335","https://openalex.org/W4312447176","https://openalex.org/W4312737789","https://openalex.org/W4313398329","https://openalex.org/W4399584394","https://openalex.org/W6751145664"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Classification":[0],"of":[1,23,43,60,79,98,119,140],"missing":[2,55,112,170],"data":[3,56],"based":[4,156],"on":[5,14,102,142,157],"estimation":[6],"is":[7],"still":[8],"challenging":[9],"since":[10],"existing":[11],"methods":[12,122],"relying":[13],"one":[15],"imputation":[16,50,121],"strategy":[17],"fail":[18],"to":[19,53,68,84,110,131],"consider":[20],"the":[21,37,41,58,77,85,90,95,103,106,116,133,138,143,152,158],"diversity":[22],"different":[24,117,144],"attribute":[25,38,91],"distributions.":[26],"In":[27],"this":[28,70],"case,":[29],"there":[30],"are":[31],"inevitably":[32],"some":[33],"\u201cbad\u201d":[34],"estimations":[35,81,101,141],"at":[36,89],"level,":[39],"reducing":[40,94],"performance":[42],"classification.":[44,104],"This":[45],"article":[46],"proposes":[47],"a":[48],"mixed-type":[49],"method":[51,75],"(MTI)":[52],"classify":[54],"under":[57],"theory":[59],"belief":[61],"functions":[62],"(TBF)":[63],"via":[64],"two":[65],"quality":[66],"matrices":[67],"address":[69],"problem.":[71],"The":[72,127,146],"proposed":[73],"MTI":[74],"has":[76,148],"advantages":[78],"making":[80],"as":[82,87],"close":[83],"truth":[86],"possible":[88,99],"level":[92],"while":[93],"negative":[96],"impact":[97],"bad":[100],"Specifically,":[105],"first":[107],"matrix":[108,129],"used":[109,130],"impute":[111],"values":[113],"can":[114,136],"characterize":[115],"supports":[118],"multiple":[120],"for":[123,161,166],"estimating":[124],"various":[125],"attributes.":[126],"other":[128],"perform":[132],"classification":[134],"task":[135],"extract":[137],"reliabilities":[139],"classes.":[145],"validity":[147],"been":[149],"demonstrated":[150],"in":[151],"final":[153],"decision":[154],"support":[155],"TBF,":[159],"famous":[160],"characterizing":[162],"uncertainty":[163],"and":[164],"imprecision,":[165],"example,":[167],"caused":[168],"by":[169],"values.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
