乐胖代购免代理版

{"id":"https://openalex.org/W3130718099","doi":"https://doi.org/10.1109/tfuzz.2021.3058643","title":"Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set","display_name":"Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3130718099","doi":"https://doi.org/10.1109/tfuzz.2021.3058643","mag":"3130718099"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2021.3058643","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5020576371","display_name":"Daiwei Li","orcid":"https://orcid.org/0000-0001-8868-4440"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4800084"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"funder","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daiwei Li","raw_affiliation_strings":["College of Software Engineering, Chengdu University of Information Technology, Chengdu, China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"College of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063409828","display_name":"Haiqing Zhang","orcid":"https://orcid.org/0000-0001-8881-361X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"funder","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqing Zhang","raw_affiliation_strings":["College of Software Engineering, Chengdu University of Information Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Software Engineering, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070559820","display_name":"Tianrui Li","orcid":"https://orcid.org/0000-0001-7780-104X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Li","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073201403","display_name":"Abdelaziz Bouras","orcid":"https://orcid.org/0000-0001-5765-1259"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"funder","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Abdelaziz Bouras","raw_affiliation_strings":["Computer Science Department, Qatar University, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721113","display_name":"Xi Yu","orcid":"https://orcid.org/0000-0001-5764-813X"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Yu","raw_affiliation_strings":["College of Information Science and Technology and Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology and Key Laboratory of Pattern Recognition and Intelligent Information Processing, Institutions of Higher Education of Sichuan Province, Chengdu University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100453421","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0001-8100-6743"},"institutions":[{"id":"https://openalex.org/I4210110792","display_name":"Centre de Recherche en Automatique de Nancy","ror":"https://ror.org/022r5hc56","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210099203","https://openalex.org/I4210100260","https://openalex.org/I4210110792","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4210131384","display_name":"Decision & Information Sciences for Production Systems","ror":"https://ror.org/02stf8w13","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I4210131384","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["Decision and Information Sciences for Production Systems Laboratory, National Institute of Applied Sciences of Lyon, University Jean Monnet of Saint Étienne, Roanne, France","tienne, Roanne, France"],"affiliations":[{"raw_affiliation_string":"tienne, Roanne, France","institution_ids":["https://openalex.org/I4210110792"]},{"raw_affiliation_string":"Decision and Information Sciences for Production Systems Laboratory, National Institute of Applied Sciences of Lyon, University Jean Monnet of Saint Étienne, Roanne, France","institution_ids":["https://openalex.org/I4210131384"]}]}],"institution_assertions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.437,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.999894,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"30","issue":"5","first_page":"1396","last_page":"1408"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9906,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9763,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/imputation","display_name":"Imputation (statistics)","score":0.7143039}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7143039},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6599913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6241906},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6029092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5773518},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5400724},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5056133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49811888},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47663936},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.424504},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.41597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3958287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33884096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21109533}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2021.3058643","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_indexed_in_scopus":true,"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":null,"is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://hal.science/hal-04217408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.79,"id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":46,"referenced_works":["https://openalex.org/W1571935154","https://openalex.org/W1574862351","https://openalex.org/W1658806463","https://openalex.org/W1916286933","https://openalex.org/W1971707011","https://openalex.org/W1977916156","https://openalex.org/W1987149779","https://openalex.org/W2017359830","https://openalex.org/W2039015671","https://openalex.org/W2054449235","https://openalex.org/W2064186732","https://openalex.org/W2067151357","https://openalex.org/W2071260583","https://openalex.org/W2081475785","https://openalex.org/W2082678545","https://openalex.org/W2095290023","https://openalex.org/W2103535650","https://openalex.org/W2139785860","https://openalex.org/W2211181684","https://openalex.org/W2343145095","https://openalex.org/W2346100606","https://openalex.org/W2466047426","https://openalex.org/W2552454876","https://openalex.org/W2566064288","https://openalex.org/W2604928999","https://openalex.org/W2730386428","https://openalex.org/W273955616","https://openalex.org/W2783469337","https://openalex.org/W2798717131","https://openalex.org/W2806445482","https://openalex.org/W2886008386","https://openalex.org/W2896017664","https://openalex.org/W2897866984","https://openalex.org/W2932881901","https://openalex.org/W2951837249","https://openalex.org/W2954753287","https://openalex.org/W2961651406","https://openalex.org/W2981269376","https://openalex.org/W2985175868","https://openalex.org/W2995235877","https://openalex.org/W2998472560","https://openalex.org/W3014235068","https://openalex.org/W3023664246","https://openalex.org/W3034536504","https://openalex.org/W3103391447","https://openalex.org/W66287719"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3179858851","https://openalex.org/W3144172081","https://openalex.org/W3028371478","https://openalex.org/W2581984549","https://openalex.org/W2181530120","https://openalex.org/W2081476516","https://openalex.org/W2055961818","https://openalex.org/W2024529227","https://openalex.org/W1574575415"],"abstract_inverted_index":{"In":[0,28,67,151],"real":[1],"cases,":[2],"missing":[3,75,97,156],"values":[4,120,157,204],"tend":[5],"to":[6,114,153,172],"contain":[7,93],"meaningful":[8],"information":[9],"that":[10,92,218],"should":[11,15],"be":[12,16],"acquired":[13],"or":[14],"analyzed":[17],"before":[18],"the":[19,68,74,85,90,116,130,139,143,155,173,193,216,219],"incomplete":[20],"dataset":[21],"is":[22,77,87],"used":[23],"for":[24,89,101,146],"machine":[25],"learning":[26],"tasks.":[27],"this":[29],"work,":[30],"two":[31],"algorithms":[32,224],"named":[33],"jointly":[34,46],"fuzzy":[35,47,109,140,163,235,241],"C-Means":[36,48,236,242],"and":[37,45,49,61,71,83,108,126,208,222,227,240],"vaguely":[38],"quantified":[39],"nearest":[40],"neighbor":[41],"(VQNN)":[42],"imputation":[43,52,203,229,238,245],"(JFCM-VQNNI)":[44],"fitted":[50],"VQNN":[51],"(JFCM-FVQNNI)":[53],"have":[54,184],"been":[55,185],"proposed":[56,69,220],"by":[57,176,232],"considering":[58,177],"clustering":[59],"conception":[60],"sufficient":[62,226],"extraction":[63],"of":[64,132,142,195,202],"uncertain":[65],"information.":[66],"JFCM-VQNNI":[70,102,133,223],"JFCM-FVQNNI":[72,135,160,221],"algorithm,":[73,103,134],"value":[76],"regarded":[78],"as":[79,100],"a":[80],"decision":[81,164,180],"feature,":[82],"then,":[84],"prediction":[86],"generated":[88],"objects":[91,125],"at":[94],"least":[95],"one":[96],"value.":[98],"Specially,":[99],"indistinguishable":[104],"matrixes,":[105],"tolerance":[106],"relations,":[107],"membership":[110,141,165],"relations":[111],"are":[112],"adopted":[113],"identify":[115],"potential":[117],"closest":[118],"filled":[119],"based":[121],"on":[122,188,192],"corresponding":[123],"similar":[124],"related":[127,174],"clusters.":[128],"On":[129],"basis":[131],"algorithm":[136,161,239],"synthetic":[137],"analyzes":[138],"dependent":[144],"features":[145],"instances":[147],"with":[148,170,205,234],"each":[149,168],"cluster.":[150],"order":[152],"fill":[154],"more":[158],"accurately,":[159],"performs":[162],"adjustment":[166],"in":[167],"object":[169],"respect":[171],"clusters":[175],"highly":[178],"relevant":[179],"attributes.":[181],"The":[182],"experiments":[183],"carried":[186],"out":[187],"five":[189],"datasets.":[190],"Based":[191],"analysis":[194],"root-mean-square":[196],"error,":[197,200],"mean":[198],"absolute":[199],"comparison":[201],"actual":[206],"values,":[207],"classification":[209],"accuracy":[210],"results":[211,231],"analysis,":[212],"we":[213],"can":[214],"draw":[215],"conclusion":[217],"yields":[225],"reasonable":[228],"performance":[230],"comparing":[233],"parameter-based":[237,244],"rough":[243],"algorithm.":[246]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3130718099","counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10}],"updated_date":"2025-04-08T08:13:48.419746","created_date":"2021-03-01"}