{"id":"https://openalex.org/W4281550045","doi":"https://doi.org/10.3390/axioms11060251","title":"Interval Type-3 Fuzzy Aggregation of Neural Networks for Multiple Time Series Prediction: The Case of Financial Forecasting","display_name":"Interval Type-3 Fuzzy Aggregation of Neural Networks for Multiple Time Series Prediction: The Case of Financial Forecasting","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281550045","doi":"https://doi.org/10.3390/axioms11060251"},"language":"en","primary_location":{"id":"doi:10.3390/axioms11060251","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms11060251","pdf_url":"https://www.mdpi.com/2075-1680/11/6/251/pdf?version=1655690533","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-1680/11/6/251/pdf?version=1655690533","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048223855","display_name":"Oscar Castillo","orcid":"https://orcid.org/0000-0002-7385-5689"},"institutions":[{"id":"https://openalex.org/I4210118730","display_name":"Instituto Tecnol\u00f3gico de Tijuana","ror":"https://ror.org/03dga7879","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210118730"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Oscar Castillo","raw_affiliation_strings":["Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana 22414, Mexico"],"affiliations":[{"raw_affiliation_string":"Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana 22414, Mexico","institution_ids":["https://openalex.org/I4210118730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024400994","display_name":"Juan R. Castro","orcid":"https://orcid.org/0000-0003-1188-1862"},"institutions":[{"id":"https://openalex.org/I4210134596","display_name":"Universidad de Tijuana","ror":"https://ror.org/03qzc6q48","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210134596"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan R. Castro","raw_affiliation_strings":["School of Engineering, UABC University, Tijuana 22500, Mexico"],"affiliations":[{"raw_affiliation_string":"School of Engineering, UABC University, Tijuana 22500, Mexico","institution_ids":["https://openalex.org/I4210134596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090320352","display_name":"Patricia Mel\u00edn","orcid":"https://orcid.org/0000-0001-5798-1426"},"institutions":[{"id":"https://openalex.org/I4210118730","display_name":"Instituto Tecnol\u00f3gico de Tijuana","ror":"https://ror.org/03dga7879","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210118730"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Patricia Melin","raw_affiliation_strings":["Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana 22414, Mexico"],"affiliations":[{"raw_affiliation_string":"Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana 22414, Mexico","institution_ids":["https://openalex.org/I4210118730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048223855"],"corresponding_institution_ids":["https://openalex.org/I4210118730"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":7.3652,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97709642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"11","issue":"6","first_page":"251","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9975000023841858,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9943000078201294,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.636640191078186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6025381088256836},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5924370288848877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5827011466026306},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4853300154209137},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4671002924442291},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.46342456340789795},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.45614737272262573},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.450458288192749},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44967228174209595},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.4430614709854126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4394957423210144},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3639276623725891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3469904363155365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27503901720046997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2599305510520935}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.636640191078186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6025381088256836},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5924370288848877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827011466026306},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4853300154209137},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4671002924442291},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.46342456340789795},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.45614737272262573},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.450458288192749},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44967228174209595},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.4430614709854126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4394957423210144},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3639276623725891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3469904363155365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27503901720046997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2599305510520935},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/axioms11060251","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms11060251","pdf_url":"https://www.mdpi.com/2075-1680/11/6/251/pdf?version=1655690533","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:25f67886a2694330b44fec3611c4c94e","is_oa":true,"landing_page_url":"https://doaj.org/article/25f67886a2694330b44fec3611c4c94e","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":"Axioms, Vol 11, Iss 6, p 251 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2075-1680/11/6/251/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/axioms11060251","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Axioms; Volume 11; Issue 6; Pages: 251","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/axioms11060251","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms11060251","pdf_url":"https://www.mdpi.com/2075-1680/11/6/251/pdf?version=1655690533","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281550045.pdf","grobid_xml":"https://content.openalex.org/works/W4281550045.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1161718774","https://openalex.org/W2036984693","https://openalex.org/W2070513334","https://openalex.org/W2126930230","https://openalex.org/W2127982691","https://openalex.org/W2136817645","https://openalex.org/W2766791292","https://openalex.org/W2858612818","https://openalex.org/W2959624881","https://openalex.org/W2987710576","https://openalex.org/W3007319011","https://openalex.org/W3010223921","https://openalex.org/W3010267415","https://openalex.org/W3010921212","https://openalex.org/W3012189167","https://openalex.org/W3012994592","https://openalex.org/W3013601031","https://openalex.org/W3014984262","https://openalex.org/W3022885394","https://openalex.org/W3026609628","https://openalex.org/W3035826609","https://openalex.org/W3049423707","https://openalex.org/W3120554003","https://openalex.org/W3146978883","https://openalex.org/W3159513742","https://openalex.org/W3162594786","https://openalex.org/W3186590231","https://openalex.org/W3208475069","https://openalex.org/W4210339679","https://openalex.org/W4226317728","https://openalex.org/W4237236578","https://openalex.org/W4254931243","https://openalex.org/W6630231705"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2767445978","https://openalex.org/W2603387358","https://openalex.org/W3092831610","https://openalex.org/W2075234505","https://openalex.org/W1585599148","https://openalex.org/W2063427286","https://openalex.org/W2383710691","https://openalex.org/W2341350566","https://openalex.org/W3126075123"],"abstract_inverted_index":{"In":[0,56],"this":[1],"work,":[2],"we":[3],"present":[4],"an":[5,98,143,162],"approach":[6],"for":[7,13],"fuzzy":[8,60,86,101,111],"aggregation":[9,94],"of":[10,25,32,52,79,85,93,117,148,180],"neural":[11],"networks":[12,27],"forecasting.":[14],"The":[15,88,150],"interval":[16,99],"type-3":[17,100],"aggregator":[18],"is":[19,36,47,62,95],"used":[20,63],"to":[21,28,64,73,127],"combine":[22],"the":[23,26,30,33,44,50,53,66,74,77,91,121,129,146,155,165,174,178,181],"outputs":[24,51],"improve":[29],"quality":[31],"prediction.":[34],"This":[35],"carried":[37],"out":[38],"in":[39,76,90,104,160,173],"such":[40],"a":[41,59,83,138],"way":[42],"that":[43,69,137,154],"final":[45],"output":[46,75],"better":[48],"than":[49],"individual":[54],"modules.":[55],"our":[57],"approach,":[58,131],"system":[61],"estimate":[65],"prediction":[67],"increments":[68],"will":[70],"be":[71],"assigned":[72],"process":[78,92],"combining":[80],"them":[81],"with":[82,97],"set":[84],"rules.":[87],"uncertainty":[89],"modeled":[96],"system,":[102],"which,":[103],"theory,":[105],"can":[106,141],"outperform":[107],"type-2":[108],"and":[109,120,170],"type-1":[110],"systems.":[112],"Publicly":[113],"available":[114],"data":[115,157],"sets":[116],"COVID-19":[118,156],"cases":[119],"Dow":[122,166,182],"Jones":[123,167,183],"index":[124],"were":[125],"utilized":[126],"test":[128],"proposed":[130,175],"as":[132],"it":[133],"has":[134],"been":[135],"stated":[136],"pandemic":[139],"wave":[140],"have":[142],"effect":[144],"on":[145,164],"economies":[147],"countries.":[149],"simulation":[151],"results":[152],"show":[153],"does":[158],"have,":[159],"fact,":[161],"influence":[163],"time":[168],"series":[169],"its":[171],"use":[172],"model":[176],"improves":[177],"forecast":[179],"future":[184],"values.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
