{"id":"https://openalex.org/W3199336060","doi":"https://doi.org/10.3233/jifs-210848","title":"Uncertain max-autoregressive model with imprecise observations","display_name":"Uncertain max-autoregressive model with imprecise observations","publication_year":2021,"publication_date":"2021-09-10","ids":{"openalex":"https://openalex.org/W3199336060","doi":"https://doi.org/10.3233/jifs-210848","mag":"3199336060"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210848","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210848","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & 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/A5101537985","display_name":"Han Tang","orcid":"https://orcid.org/0000-0001-8523-0080"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Tang","raw_affiliation_strings":["Department of Mathematical Sciences, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098109083","display_name":"Dalin","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dalin","raw_affiliation_strings":["School of Mathematical Sciences, Inner Mongolia University, Inner Mongolia, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Inner Mongolia University, Inner Mongolia, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5098109083"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":2.1269,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.88994123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"41","issue":"6","first_page":"6915","last_page":"6922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9980999827384949,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9980999827384949,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9873999953269958,"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/T10320","display_name":"Neural Networks and Applications","score":0.9818000197410583,"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/autoregressive-model","display_name":"Autoregressive model","score":0.9091880321502686},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7527331113815308},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.692842960357666},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6489965915679932},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.5979903340339661},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5333713293075562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5250199437141418},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.5136789679527283},{"id":"https://openalex.org/keywords/setar","display_name":"SETAR","score":0.49805426597595215},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.46736547350883484},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.4477691948413849},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.4326379895210266},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.42732274532318115},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41677603125572205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3035888373851776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2401256561279297},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2317013442516327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21105024218559265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1224103569984436}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.9091880321502686},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7527331113815308},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.692842960357666},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6489965915679932},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.5979903340339661},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5333713293075562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5250199437141418},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.5136789679527283},{"id":"https://openalex.org/C30795276","wikidata":"https://www.wikidata.org/wiki/Q7389877","display_name":"SETAR","level":5,"score":0.49805426597595215},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46736547350883484},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.4477691948413849},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.4326379895210266},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.42732274532318115},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41677603125572205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3035888373851776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2401256561279297},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2317013442516327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21105024218559265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1224103569984436},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-210848","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210848","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1990216282","https://openalex.org/W2274279545","https://openalex.org/W2588587052","https://openalex.org/W2852697398","https://openalex.org/W2902251417","https://openalex.org/W2954054751","https://openalex.org/W2972325118","https://openalex.org/W3023523917","https://openalex.org/W3025163272","https://openalex.org/W3025369963","https://openalex.org/W3035058975","https://openalex.org/W3083173466","https://openalex.org/W3085763374","https://openalex.org/W3097429946","https://openalex.org/W3110276517","https://openalex.org/W3118832633","https://openalex.org/W3180415852","https://openalex.org/W3181864547"],"related_works":["https://openalex.org/W2019155478","https://openalex.org/W1653723966","https://openalex.org/W81705085","https://openalex.org/W1484537345","https://openalex.org/W2136483970","https://openalex.org/W95638186","https://openalex.org/W2913429625","https://openalex.org/W1506033924","https://openalex.org/W4385388092","https://openalex.org/W2909678478"],"abstract_inverted_index":{"Uncertain":[0],"time":[1,52,98],"series":[2,53,99],"analysis":[3,40],"has":[4],"been":[5],"developed":[6],"for":[7,68],"studying":[8],"the":[9,33,38,51,59,72,77,81,88,95,105],"imprecise":[10,73],"observations.":[11,74],"In":[12,43],"this":[13],"paper,":[14],"we":[15],"propose":[16],"a":[17],"nonlinear":[18],"model":[19,29,64,83,100],"called":[20],"uncertain":[21,106],"max-autoregressive":[22],"(UMAR)":[23],"model.":[24,109],"The":[25,62],"unknown":[26],"parameters":[27],"in":[28,50,58,71],"are":[30,47],"estimated":[31],"by":[32],"least":[34],"squares":[35],"estimation.":[36],"Then":[37],"residual":[39],"is":[41,84],"presented.":[42],"many":[44],"cases,":[45],"there":[46],"some":[48],"outliers":[49,70],"due":[54],"to":[55,86,104],"short-term":[56],"change":[57],"underlying":[60],"process.":[61],"UMAR":[63,82],"offers":[65],"an":[66,91],"alternative":[67],"detecting":[69],"Based":[75],"on":[76],"previous":[78],"theoretical":[79],"results,":[80],"used":[85],"forecast":[87],"future.":[89],"Finally,":[90],"example":[92],"suggests":[93],"that":[94],"new":[96],"proposed":[97],"works":[101],"well":[102],"compared":[103],"autoregressive":[107],"(UAR)":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}