{"id":"https://openalex.org/W4395447244","doi":"https://doi.org/10.1109/tfuzz.2024.3393622","title":"A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection","display_name":"A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection","publication_year":2024,"publication_date":"2024-04-25","ids":{"openalex":"https://openalex.org/W4395447244","doi":"https://doi.org/10.1109/tfuzz.2024.3393622"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3393622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3393622","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_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 Fuzzy 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/A5100691996","display_name":"Jianming Zhan","orcid":"https://orcid.org/0000-0003-2510-9515"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zhan","raw_affiliation_strings":["School of Mathematics and Statistics, Hubei Minzu University, Enshi, China"],"raw_orcid":"https://orcid.org/0000-0003-2510-9515","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Hubei Minzu University, Enshi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620044","display_name":"Xianfeng Huang","orcid":"https://orcid.org/0000-0001-8933-6907"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfeng Huang","raw_affiliation_strings":["School of Mathematics and Statistics, Hubei Minzu University, Enshi, China"],"raw_orcid":"https://orcid.org/0000-0001-8933-6907","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Hubei Minzu University, Enshi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003563112","display_name":"Yuhua Qian","orcid":"https://orcid.org/0000-0001-6772-4247"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Qian","raw_affiliation_strings":["Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","Engineering Research Center for Machine Vision and Data Mining of Shanxi Province, Shanxi University, Taiyuan, Shanxi, China","Institute of Big Data Science and Industry, Shanxi University, Taiyuan, Shanxi, China","Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, Shanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-6772-4247","affiliations":[{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Engineering Research Center for Machine Vision and Data Mining of Shanxi Province, Shanxi University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Institute of Big Data Science and Industry, Shanxi University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, Shanxi, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069969191","display_name":"Weiping Ding","orcid":"https://orcid.org/0000-0002-3180-7347"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Ding","raw_affiliation_strings":["School of Information Science and Technology, Nantong University, Nantong, China"],"raw_orcid":"https://orcid.org/0000-0002-3180-7347","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Nantong University, Nantong, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.3772,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.98353907,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":"8","first_page":"4270","last_page":"4284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6777831315994263},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6474225521087646},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6457255482673645},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6106500625610352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5910553932189941},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5872671604156494},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5722195506095886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5503250956535339},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5113818049430847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5048714280128479},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4477342963218689},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4371917247772217},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4249315857887268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3596775233745575}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6777831315994263},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6474225521087646},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6457255482673645},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6106500625610352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5910553932189941},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5872671604156494},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5722195506095886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5503250956535339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5113818049430847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5048714280128479},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4477342963218689},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4371917247772217},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4249315857887268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3596775233745575},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3393622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3393622","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_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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4699999988079071,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1362002787","display_name":null,"funder_award_id":"12271146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3711735600","display_name":null,"funder_award_id":"61976120","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1982952634","https://openalex.org/W1986128419","https://openalex.org/W1993261349","https://openalex.org/W2033381780","https://openalex.org/W2037250283","https://openalex.org/W2071657601","https://openalex.org/W2078622091","https://openalex.org/W2082173396","https://openalex.org/W2098386213","https://openalex.org/W2111072639","https://openalex.org/W2161033177","https://openalex.org/W2189625117","https://openalex.org/W2343558730","https://openalex.org/W2766865507","https://openalex.org/W2777680782","https://openalex.org/W2801276705","https://openalex.org/W2809282474","https://openalex.org/W2905816416","https://openalex.org/W2906625258","https://openalex.org/W2907574584","https://openalex.org/W2946296475","https://openalex.org/W2951142264","https://openalex.org/W2968458585","https://openalex.org/W2971900667","https://openalex.org/W2990955039","https://openalex.org/W2997546679","https://openalex.org/W3024731928","https://openalex.org/W3032821910","https://openalex.org/W3036123607","https://openalex.org/W3037511330","https://openalex.org/W3046978353","https://openalex.org/W3092321396","https://openalex.org/W3092575029","https://openalex.org/W3094198579","https://openalex.org/W3112167241","https://openalex.org/W3116522011","https://openalex.org/W3154117064","https://openalex.org/W3157114773","https://openalex.org/W3190748826","https://openalex.org/W3194270210","https://openalex.org/W3196257770","https://openalex.org/W3215479934","https://openalex.org/W4210847455","https://openalex.org/W4220892456","https://openalex.org/W4223425633","https://openalex.org/W4224008185","https://openalex.org/W4224222011","https://openalex.org/W4225851481","https://openalex.org/W4230588984","https://openalex.org/W4244651853","https://openalex.org/W4285157836","https://openalex.org/W4289236186","https://openalex.org/W4320015804","https://openalex.org/W4361011496","https://openalex.org/W4378978063","https://openalex.org/W4382203079","https://openalex.org/W4385756462","https://openalex.org/W6686980507","https://openalex.org/W6858721613"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"Multivariate":[0],"time":[1],"series":[2],"prediction":[3,47,58,146,165,188,193],"(MTSP)":[4],"stands":[5],"as":[6,28],"a":[7,29,67,85,106,127],"significant":[8],"and":[9,43,97,120,167],"challenging":[10],"frontier":[11],"in":[12,56,157,190],"the":[13,41,113,178,181],"data":[14,51],"science":[15],"domain,":[16],"garnering":[17],"considerable":[18],"interest":[19],"among":[20],"researchers.":[21],"Extreme":[22],"learning":[23,32,187],"machine":[24,31,186],"(ELM)":[25],"has":[26],"emerged":[27],"popular":[30],"algorithm":[33,91,109],"capable":[34],"of":[35,46,123,180],"effectively":[36],"addressing":[37],"MTSP":[38,69,151],"challenges.":[39,194],"However,":[40],"high-dimensional":[42],"nonlinear":[44],"nature":[45],"information":[48,95,99,103,122],"within":[49],"big":[50],"contexts":[52],"exposes":[53],"certain":[54],"limitations":[55],"ELM's":[57],"performance.":[59],"To":[60],"address":[61],"this":[62,64],"issue,":[63],"paper":[65],"proposes":[66],"hybrid":[68,129,150],"framework":[70,82,152,183],"based":[71],"on":[72],"fuzzy":[73],"C-means":[74],"(FCM)":[75],"clustering":[76,114],"coupled":[77],"with":[78,84,153],"feature":[79,89,118,154],"selection.":[80],"The":[81,148],"begins":[83],"possibility":[86],"distribution":[87],"(PD)-based":[88],"selection":[90,155],"designed":[92],"to":[93,131,144],"evaluate":[94],"quality":[96],"describe":[98],"uncertainty":[100],"via":[101],"multi-source":[102],"fusion.":[104],"Subsequently,":[105],"robust":[107],"FCM":[108],"is":[110,142],"developed,":[111],"optimizing":[112],"process":[115],"by":[116],"incorporating":[117],"differences":[119],"neighbor":[121],"samples":[124],"while":[125],"employing":[126],"multi-metric":[128],"strategy":[130],"determine":[132],"cluster":[133],"numbers.":[134],"Additionally,":[135],"an":[136],"enhanced":[137],"dual-kernel":[138],"ELM":[139],"(EDKELM)":[140],"network":[141],"established":[143],"enhance":[145],"capabilities.":[147],"resulting":[149],"excels":[156],"autonomously":[158],"discovering":[159],"intrinsic":[160],"featuremodel":[161],"connections,":[162],"exhibiting":[163],"superior":[164],"performance,":[166],"demonstrating":[168],"excellent":[169],"generalization":[170],"ability.":[171],"Experimental":[172],"results":[173],"using":[174],"real-world":[175],"datasets":[176],"showcase":[177],"competitiveness":[179],"proposed":[182],"over":[184],"existing":[185],"models":[189],"resolving":[191],"multivariate":[192]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":12}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
