{"id":"https://openalex.org/W4401536792","doi":"https://doi.org/10.1109/access.2024.3443172","title":"An Efficient Solution for Multivariate Time Series Forecasting Based on a Stacked Complex Fuzzy Gated Recurrent Neural Network","display_name":"An Efficient Solution for Multivariate Time Series Forecasting Based on a Stacked Complex Fuzzy Gated Recurrent Neural Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401536792","doi":"https://doi.org/10.1109/access.2024.3443172"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3443172","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3443172","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3443172","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082577776","display_name":"Nguyen Van Quyet","orcid":null},"institutions":[{"id":"https://openalex.org/I70349855","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50","country_code":"VN","type":"government","lineage":["https://openalex.org/I70349855"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Nguyen van Quyet","raw_affiliation_strings":["Vietnam Academy of Science and Technology, Graduate University of Science and Technology, Hanoi, Vietnam","Vietnam Academy of Science and Technology, Institute of Information Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Vietnam Academy of Science and Technology, Graduate University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I70349855"]},{"raw_affiliation_string":"Vietnam Academy of Science and Technology, Institute of Information Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I70349855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041602823","display_name":"Nguyen Tho Thong","orcid":"https://orcid.org/0000-0002-6927-0362"},"institutions":[{"id":"https://openalex.org/I70349855","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50","country_code":"VN","type":"government","lineage":["https://openalex.org/I70349855"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Tho Thong","raw_affiliation_strings":["Vietnam Academy of Science and Technology, Institute of Information Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Vietnam Academy of Science and Technology, Institute of Information Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I70349855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073341529","display_name":"Nguy\u1ec5n Long Giang","orcid":"https://orcid.org/0000-0001-6184-1469"},"institutions":[{"id":"https://openalex.org/I70349855","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50","country_code":"VN","type":"government","lineage":["https://openalex.org/I70349855"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Long Giang","raw_affiliation_strings":["Vietnam Academy of Science and Technology, Institute of Information Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Vietnam Academy of Science and Technology, Institute of Information Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I70349855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087946767","display_name":"Luong Thi Hong Lan","orcid":"https://orcid.org/0000-0002-4083-2253"},"institutions":[{"id":"https://openalex.org/I45756140","display_name":"Hanoi University of Industry","ror":"https://ror.org/05hhz4s12","country_code":"VN","type":"education","lineage":["https://openalex.org/I45756140"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Luong Thi Hong Lan","raw_affiliation_strings":["Faculty of Information Technology, Hanoi University of Industry, Bac Tu Liem, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Hanoi University of Industry, Bac Tu Liem, Hanoi, Vietnam","institution_ids":["https://openalex.org/I45756140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082577776"],"corresponding_institution_ids":["https://openalex.org/I70349855"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.8019,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85642544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"112936","last_page":"112947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9976000189781189,"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/T10320","display_name":"Neural Networks and Applications","score":0.9930999875068665,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7613023519515991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6875293850898743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6338776350021362},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6194049715995789},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6123895645141602},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5094483494758606},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.494851291179657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4879898428916931},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.43463048338890076},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3744099736213684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3548790216445923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35382428765296936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3296445608139038}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7613023519515991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6875293850898743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6338776350021362},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6194049715995789},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6123895645141602},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5094483494758606},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.494851291179657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4879898428916931},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.43463048338890076},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3744099736213684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3548790216445923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35382428765296936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3296445608139038},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3443172","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3443172","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:73b83ea00dc04540931e82d95d249a5a","is_oa":true,"landing_page_url":"https://doaj.org/article/73b83ea00dc04540931e82d95d249a5a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 112936-112947 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3443172","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3443172","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6666685366","display_name":null,"funder_award_id":"THTETN.05/23-24","funder_id":"https://openalex.org/F4320313223","funder_display_name":"Vietnam Academy of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320313223","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W334654498","https://openalex.org/W1498436455","https://openalex.org/W1972071258","https://openalex.org/W2062464862","https://openalex.org/W2097403045","https://openalex.org/W2157331557","https://openalex.org/W2159489157","https://openalex.org/W2573587735","https://openalex.org/W2755150883","https://openalex.org/W2766799878","https://openalex.org/W2790400419","https://openalex.org/W2894196255","https://openalex.org/W2923573337","https://openalex.org/W2945584124","https://openalex.org/W2969210779","https://openalex.org/W2971724044","https://openalex.org/W2986815055","https://openalex.org/W3000500483","https://openalex.org/W3008235510","https://openalex.org/W3017636296","https://openalex.org/W3022787740","https://openalex.org/W3032896144","https://openalex.org/W3035550924","https://openalex.org/W3046210600","https://openalex.org/W3046473480","https://openalex.org/W3048862661","https://openalex.org/W3088122083","https://openalex.org/W3094920651","https://openalex.org/W3108170504","https://openalex.org/W3109365969","https://openalex.org/W3115103108","https://openalex.org/W3118485316","https://openalex.org/W3119665391","https://openalex.org/W3128634608","https://openalex.org/W3129054759","https://openalex.org/W3147045479","https://openalex.org/W3158237271","https://openalex.org/W3174167500","https://openalex.org/W3190730109","https://openalex.org/W3197217317","https://openalex.org/W4213123767","https://openalex.org/W4220829848","https://openalex.org/W4224526115","https://openalex.org/W4283379722","https://openalex.org/W4293565759","https://openalex.org/W4312973876","https://openalex.org/W4313461942","https://openalex.org/W4317435268","https://openalex.org/W4318831437","https://openalex.org/W4389868719","https://openalex.org/W4390612216","https://openalex.org/W4391242231","https://openalex.org/W4392515089","https://openalex.org/W6744394618"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W3032952384","https://openalex.org/W3207109968","https://openalex.org/W2336148757","https://openalex.org/W829773823","https://openalex.org/W2937114745"],"abstract_inverted_index":{"Multivariate":[0],"Time":[1],"series":[2,30,43,98,147,158,165],"forecasting":[3,99,198,204],"finds":[4],"numerous":[5],"applications":[6],"across":[7],"various":[8],"fields,":[9],"including":[10],"society,":[11],"industry,":[12],"market,":[13],"etc.":[14],"Recently,":[15],"gated":[16],"recurrent":[17,78,140],"unit":[18],"neural":[19,79,123,141],"networks":[20,61,93,124],"(GRU)":[21],"have":[22],"shown":[23],"high":[24],"efficiency":[25,180],"in":[26,32,84],"processing":[27],"sequential":[28],"time":[29,42,97,146,157,164],"data":[31,112,148,159],"recent":[33],"years.":[34],"While":[35],"traditional":[36],"GRUs":[37],"can":[38],"learn":[39],"and":[40,48,66,108,125,172,179,191,206],"understand":[41],"data,":[44,52,117],"with":[45,120],"the":[46,64,69,73,89,106,111,115,126,177,182,194],"explosion":[47],"increasing":[49],"complexity":[50],"of":[51,68,91,110,181],"there":[53],"has":[54],"not":[55],"been":[56],"much":[57],"research":[58],"on":[59,155,187],"GRU":[60,92,121,208],"that":[62,193],"considers":[63],"fuzziness":[65],"periodicity":[67,109],"data\u2019s":[70],"nature.":[71],"Thus,":[72],"novel":[74],"developed":[75],"complex":[76,138,202],"fuzzy-gated":[77,139],"network":[80,142],"(CFGRU)":[81],"is":[82,118],"proposed":[83,127,195],"this":[85,131],"study":[86],"to":[87,94,175],"improve":[88],"ability":[90],"resolve":[95],"multivariate":[96,145,156,163],"issues.":[100],"Complex":[101],"fuzzy":[102,203],"theory,":[103],"which":[104],"represents":[105],"uncertainty":[107],"space":[113],"from":[114],"input":[116],"integrated":[119],"regression":[122],"CFGRU":[128],"network.":[129],"Furthermore,":[130],"paper":[132],"also":[133],"suggests":[134],"a":[135],"stacked":[136],"residual":[137],"architecture":[143],"for":[144],"forecasting.":[149],"An":[150],"experiment":[151],"was":[152],"carried":[153],"out":[154],"sets":[160],"comprising":[161],"05":[162],"datasets":[166],"(weather,":[167],"sunspots,":[168],"PM2.5,":[169],"air":[170],"quality,":[171],"power":[173],"consumption)":[174],"validate":[176],"success":[178],"suggested":[183],"model.":[184],"Comparison":[185],"results":[186],"three":[188],"indices\u2014MAE,":[189],"RMSE,":[190],"SMAPE\u2014indicate":[192],"model":[196],"performs":[197],"better":[199],"than":[200],"both":[201],"models":[205],"conventional":[207],"models.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-17T06:59:57.516163","created_date":"2025-10-10T00:00:00"}
