{"id":"https://openalex.org/W4401879287","doi":"https://doi.org/10.1109/tfuzz.2024.3449769","title":"Long-Term Multivariate Time-Series Forecasting Model Based on Gaussian Fuzzy Information Granules","display_name":"Long-Term Multivariate Time-Series Forecasting Model Based on Gaussian Fuzzy Information Granules","publication_year":2024,"publication_date":"2024-08-26","ids":{"openalex":"https://openalex.org/W4401879287","doi":"https://doi.org/10.1109/tfuzz.2024.3449769"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2024.3449769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3449769","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/A5101607937","display_name":"Chenglong Zhu","orcid":"https://orcid.org/0009-0006-1059-0392"},"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":true,"raw_author_name":"Chenglong Zhu","raw_affiliation_strings":["School of Mathematics and Statistics, Hubei Minzu University, Enshi, China"],"raw_orcid":"https://orcid.org/0009-0006-1059-0392","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/A5091898641","display_name":"Xueling Ma","orcid":"https://orcid.org/0000-0003-0061-1664"},"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":"Xueling Ma","raw_affiliation_strings":["School of Mathematics and Statistics, Hubei Minzu University, Enshi, China"],"raw_orcid":"https://orcid.org/0000-0003-0061-1664","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/A5088235131","display_name":"Pierpaolo D\u2019Urso","orcid":"https://orcid.org/0000-0002-7406-6411"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pierpaolo D'Urso","raw_affiliation_strings":["Dipartimento di Scienze Sociali ed Economiche, Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7406-6411","affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Sociali ed Economiche, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"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"],"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"]}]},{"author_position":"middle","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"]}]},{"author_position":"last","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"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101607937"],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":null,"apc_paid":null,"fwci":5.6794,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96623127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":"11","first_page":"6424","last_page":"6438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8884999752044678,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.8884999752044678,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.8805999755859375,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.8726000189781189,"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/term","display_name":"Term (time)","score":0.6556932926177979},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6497094631195068},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6022889018058777},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5963748097419739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5532799363136292},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.47469016909599304},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4493093490600586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43020346760749817},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.4290265738964081},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39729541540145874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38817039132118225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3623048663139343},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3261314332485199},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30298149585723877}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6556932926177979},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6497094631195068},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6022889018058777},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5963748097419739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5532799363136292},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.47469016909599304},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4493093490600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43020346760749817},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.4290265738964081},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39729541540145874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38817039132118225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3623048663139343},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3261314332485199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30298149585723877},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2024.3449769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2024.3449769","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":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/13","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/G2823505041","display_name":null,"funder_award_id":"12101210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2999241002","display_name":null,"funder_award_id":"12161037","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"},{"id":"https://openalex.org/G8959101485","display_name":null,"funder_award_id":"12161036","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":47,"referenced_works":["https://openalex.org/W1974540239","https://openalex.org/W2089700840","https://openalex.org/W2146848957","https://openalex.org/W2550257869","https://openalex.org/W2787084639","https://openalex.org/W2791865700","https://openalex.org/W2897998689","https://openalex.org/W2926236021","https://openalex.org/W2955775727","https://openalex.org/W2990955039","https://openalex.org/W3036399363","https://openalex.org/W3041767007","https://openalex.org/W3042536719","https://openalex.org/W3049488374","https://openalex.org/W3081450554","https://openalex.org/W3088611441","https://openalex.org/W3094198579","https://openalex.org/W3116987847","https://openalex.org/W3124513836","https://openalex.org/W3125122684","https://openalex.org/W3127698310","https://openalex.org/W3132807016","https://openalex.org/W3132819222","https://openalex.org/W3134585217","https://openalex.org/W3135778552","https://openalex.org/W3166041482","https://openalex.org/W3171884590","https://openalex.org/W3173700360","https://openalex.org/W3197976147","https://openalex.org/W3198281649","https://openalex.org/W3201019813","https://openalex.org/W3205546456","https://openalex.org/W4210391541","https://openalex.org/W4226320832","https://openalex.org/W4285132771","https://openalex.org/W4285240208","https://openalex.org/W4313048032","https://openalex.org/W4313639335","https://openalex.org/W4323668740","https://openalex.org/W4361002120","https://openalex.org/W4366448064","https://openalex.org/W4378978063","https://openalex.org/W4382203079","https://openalex.org/W4385285268","https://openalex.org/W4385756462","https://openalex.org/W4395447244","https://openalex.org/W6846825190"],"related_works":["https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W2162883116","https://openalex.org/W3013859646","https://openalex.org/W2325790386","https://openalex.org/W2015977711","https://openalex.org/W2375884488","https://openalex.org/W2245945741","https://openalex.org/W2116266858","https://openalex.org/W1985889847"],"abstract_inverted_index":{"Long-term":[0],"forecasting":[1,33,95,108,200],"of":[2,15,34,39,50,83,99,113,124,201],"multivariate":[3,70,93,106,126,202],"time":[4,35,65,71,127,203],"series":[5,72,204],"has":[6,46,59,73],"been":[7,60],"an":[8,27],"important":[9],"research":[10],"issue":[11],"in":[12,63,91,111,152],"the":[13,48,57,81,138,165,189],"field":[14],"data":[16],"mining":[17],"and":[18,43,52,87,147,168,188],"knowledge":[19],"discovery.":[20],"Fuzzy":[21],"information":[22,85,116,158,175],"granularity":[23,86],"is":[24,155,195],"used":[25,62],"as":[26,129,131,164],"effective":[28],"tool":[29],"to":[30,79,197],"handle":[31],"long-term":[32,105,150,199],"series.":[36],"On":[37],"account":[38],"its":[40,67,89],"good":[41],"interpretability":[42],"effect,":[44],"it":[45],"received":[47,74],"attention":[49],"more":[51,53],"scholars.":[54],"However,":[55],"although":[56],"method":[58,123,161,172],"universally":[61],"univariate":[64],"series,":[66,128],"application":[68],"for":[69,149,173],"little":[75],"attention.":[76],"In":[77,97],"order":[78],"utilize":[80],"advantages":[82],"fuzzy":[84,115,157,174],"fill":[88],"gap":[90],"solving":[92],"time-series":[94,107,186],"problems.":[96],"view":[98],"this":[100],"purpose,":[101],"we":[102],"design":[103],"a":[104,121,132,156,169,206],"modeling":[109],"framework":[110],"light":[112],"Gaussian":[114],"granules.":[117,176],"The":[118],"model":[119,135,194],"includes":[120],"granulation":[122],"under":[125],"well":[130],"neural":[133,140,145],"network":[134],"that":[136,192],"combines":[137],"backpropagation":[139],"network,":[141,146],"long":[142],"short-term":[143],"memory":[144],"transformer":[148],"prediction,":[151],"which":[153],"there":[154],"granule":[159],"segmentation":[160],"with":[162,205],"polynomials":[163],"core":[166],"line":[167],"new":[170],"representation":[171],"We":[177],"carry":[178],"out":[179],"experimental":[180],"evaluations":[181],"using":[182],"eight":[183],"publicly":[184],"available":[185],"data,":[187],"results":[190],"show":[191],"our":[193],"able":[196],"perform":[198],"high":[207],"satisfactory":[208],"accuracy.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
