{"id":"https://openalex.org/W7083426326","doi":"https://doi.org/10.1109/tfuzz.2025.3614519","title":"Association Rules and Refined Information Granulation-Based Time-Series Long-Term Forecasting","display_name":"Association Rules and Refined Information Granulation-Based Time-Series Long-Term Forecasting","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W7083426326","doi":"https://doi.org/10.1109/tfuzz.2025.3614519"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2025.3614519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3614519","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":null,"display_name":"Hongyue Guo","orcid":"https://orcid.org/0000-0003-1454-4087"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyue Guo","raw_affiliation_strings":["School of Maritime Economics and Management, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1454-4087","affiliations":[{"raw_affiliation_string":"School of Maritime Economics and Management, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yating Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yating Yu","raw_affiliation_strings":["Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Collaborative Innovation Center for Transport Studies, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yunzhen Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunzhen Liu","raw_affiliation_strings":["School of Science, Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lidong Wang","orcid":"https://orcid.org/0000-0003-1462-9443"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidong Wang","raw_affiliation_strings":["School of Science, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-1462-9443","affiliations":[{"raw_affiliation_string":"School of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Jia","orcid":"https://orcid.org/0000-0002-3124-3924"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jia","raw_affiliation_strings":["School of Maritime Economics and Management, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0002-3124-3924","affiliations":[{"raw_affiliation_string":"School of Maritime Economics and Management, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":null,"display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-9335-9930","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5573,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88267032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"33","issue":"11","first_page":"4137","last_page":"4151"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.13950000703334808,"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"}},"topics":[{"id":"https://openalex.org/T13546","display_name":"Census and Population Estimation","score":0.13950000703334808,"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/T10318","display_name":"Criminal Justice and Corrections Analysis","score":0.09669999778270721,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13655","display_name":"Canadian Policy and Governance","score":0.05920000001788139,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.583299994468689},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.574999988079071},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5651999711990356},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5239999890327454},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.5157999992370605},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5131000280380249},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4887000024318695},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3953999876976013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6823999881744385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.67330002784729},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.583299994468689},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.574999988079071},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5651999711990356},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5239999890327454},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.5157999992370605},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5034000277519226},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4887000024318695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46619999408721924},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.39250001311302185},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3091000020503998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3614519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3614519","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":0.5530943870544434,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"},{"score":0.4196578860282898,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G4049736553","display_name":null,"funder_award_id":"62573083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G705272207","display_name":null,"funder_award_id":"62173053","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":36,"referenced_works":["https://openalex.org/W1967690950","https://openalex.org/W1983662669","https://openalex.org/W1992534575","https://openalex.org/W1997199759","https://openalex.org/W2008605811","https://openalex.org/W2029074121","https://openalex.org/W2030103549","https://openalex.org/W2038384345","https://openalex.org/W2060812677","https://openalex.org/W2064675550","https://openalex.org/W2076492086","https://openalex.org/W2090224109","https://openalex.org/W2157423047","https://openalex.org/W2325893156","https://openalex.org/W2487144183","https://openalex.org/W2787084639","https://openalex.org/W2917506610","https://openalex.org/W2946461872","https://openalex.org/W2950895399","https://openalex.org/W3010704712","https://openalex.org/W3037129312","https://openalex.org/W3042536719","https://openalex.org/W3078902865","https://openalex.org/W3081450554","https://openalex.org/W3091588104","https://openalex.org/W3134585217","https://openalex.org/W3177318507","https://openalex.org/W3201019813","https://openalex.org/W4231335521","https://openalex.org/W4299870824","https://openalex.org/W4361018931","https://openalex.org/W4385532353","https://openalex.org/W4389622778","https://openalex.org/W4391513304","https://openalex.org/W4404562952","https://openalex.org/W4408147610"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"long-term":[1,35,41,218],"prediction":[2,163,181,205],"is":[3,152,176],"a":[4,31,40,66,102,124,148],"crucial":[5],"and":[6,22,52,74,129,160,173,197,210],"challenging":[7],"task":[8],"in":[9,123,217],"time":[10,19,50,93,104,125],"series":[11,20,51,67,94],"analysis.":[12],"The":[13],"granular":[14,47,82],"modeling,":[15],"which":[16],"can":[17],"capture":[18,87],"patterns":[21,121],"trends":[23],"by":[24,44],"transforming":[25],"them":[26],"into":[27],"information":[28,70],"granules,":[29],"offers":[30],"promising":[32],"strategy":[33],"for":[34,171],"prediction.":[36,219],"This":[37],"study":[38],"designs":[39],"forecasting":[42,215],"method":[43,193,216],"refining":[45],"the":[46,61,76,81,88,92,117,137,142,156,162,169,180,191,208,213],"representation":[48],"of":[49,63,68,78,91,144,168,212],"identifying":[53],"significant":[54],"hidden":[55],"relationships":[56],"within":[57],"them.":[58],"First,":[59],"following":[60],"principle":[62],"justifiable":[64],"granularity,":[65,105,126],"trend-based":[69],"granules":[71],"are":[72,84,113,132],"constructed,":[73],"with":[75,141,200],"incorporation":[77],"patch":[79],"learning,":[80],"results":[83],"refined":[85],"to":[86,115,135,154,178],"essential":[89],"characteristics":[90],"as":[95,97],"fully":[96],"possible.":[98],"After":[99],"segmenting":[100],"at":[101],"fixed":[103],"multi-trend":[106,111,158],"fuzzy":[107,146],"association":[108],"rules":[109],"(":[110],"FARs)":[112],"developed":[114,177],"analyze":[116],"situation":[118],"when":[119],"multiple":[120],"emerge":[122],"where":[127],"short":[128,172],"long":[130,174],"perspectives":[131],"both":[133],"incorporated":[134],"extract":[136],"corresponding":[138],"relationships.":[139],"Further,":[140],"aid":[143],"improved":[145],"C-means,":[147],"rule":[149],"selection":[150],"scheme":[151],"designed":[153],"determine":[155],"available":[157],"FARs":[159,175],"implement":[161],"results.":[164],"Here,":[165],"an":[166],"optimization":[167],"weights":[170],"ensure":[179],"accuracy.":[182],"Finally,":[183],"experiments":[184],"conducted":[185],"on":[186],"several":[187],"datasets":[188],"show":[189],"that":[190],"proposed":[192,214],"achieves":[194],"higher":[195],"accuracy":[196],"justifiability":[198],"compared":[199],"existing":[201],"models":[202],"across":[203],"different":[204],"horizons,":[206],"indicating":[207],"practicality":[209],"efficacy":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}