{"id":"https://openalex.org/W2017954768","doi":"https://doi.org/10.1080/019697202753306479","title":"FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES","display_name":"FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W2017954768","doi":"https://doi.org/10.1080/019697202753306479","mag":"2017954768"},"language":"en","primary_location":{"id":"doi:10.1080/019697202753306479","is_oa":false,"landing_page_url":"https://doi.org/10.1080/019697202753306479","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and 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/A5061831201","display_name":"Shyi\u2010Ming Chen","orcid":"https://orcid.org/0000-0001-8648-631X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shyi-Ming Chen","raw_affiliation_strings":["\n  Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology,Taipei,Taiwan, R. O. C","Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"\n  Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology,Taipei,Taiwan, R. O. C","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061831201"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":3.7332,"has_fulltext":false,"cited_by_count":514,"citation_normalized_percentile":{"value":0.93150869,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"1","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9962000250816345,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.7270004153251648},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7094146013259888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7027095556259155},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6190127730369568},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5276107788085938},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5152538418769836},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.4105850160121918},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3733747601509094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30777865648269653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2922535538673401},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.08274361491203308},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07206413149833679}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7270004153251648},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7094146013259888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7027095556259155},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6190127730369568},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5276107788085938},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5152538418769836},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.4105850160121918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3733747601509094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30777865648269653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2922535538673401},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.08274361491203308},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07206413149833679},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/019697202753306479","is_oa":false,"landing_page_url":"https://doi.org/10.1080/019697202753306479","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1971869067","https://openalex.org/W1994997349","https://openalex.org/W1995151750","https://openalex.org/W2001754067","https://openalex.org/W2016301458","https://openalex.org/W2020128335","https://openalex.org/W2020607174","https://openalex.org/W2041280856","https://openalex.org/W2041723679","https://openalex.org/W2051481361","https://openalex.org/W2052946472","https://openalex.org/W2063717439","https://openalex.org/W2091957616","https://openalex.org/W2131453387","https://openalex.org/W2149320615","https://openalex.org/W2157041604","https://openalex.org/W2168577773","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4233704167","https://openalex.org/W4240278385","https://openalex.org/W4241443503","https://openalex.org/W4245152641"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2239598988","https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370","https://openalex.org/W4387331850"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"drawback":[2],"of":[3,88,91,101,118,126],"existing":[4,128],"fuzzy":[5,10,19,39,45,59,66],"forecasting":[6,25,30,46,73,113,116],"methods":[7],"based":[8],"on":[9,76],"time":[11,20,40,60,67],"series":[12,21,41,61,68],"is":[13,122],"that":[14,125],"they":[15],"use":[16],"the":[17,29,64,77,86,89,94,99,112,119,127],"first-order":[18],"to":[22,42,70,84,110],"deal":[23,43,71],"with":[24,44,72],"problems":[26,47],"in":[27],"which":[28],"results":[31],"are":[32,108],"not":[33],"good":[34],"enough.":[35],"Using":[36],"a":[37,57],"high-order":[38,65],"can":[48],"overcome":[49],"this":[50,53],"drawback.":[51],"In":[52],"paper,":[54],"we":[55,80],"propose":[56],"new":[58],"model":[62,69],"called":[63],"problems.":[74],"Based":[75],"proposed":[78,120],"model,":[79],"develop":[81],"an":[82],"algorithm":[83],"forecast":[85],"enrollments":[87],"University":[90,100],"Alabama,":[92],"where":[93],"historical":[95],"enrollment":[96],"data":[97],"at":[98],"Alabama":[102],"(Song":[103],"and":[104],"Chissom":[105],"1993a,":[106],"1994)":[107],"used":[109],"illustrate":[111],"process.":[114],"The":[115],"accuracy":[117],"method":[121],"better":[123],"than":[124],"methods.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":38},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":33},{"year":2018,"cited_by_count":32},{"year":2017,"cited_by_count":26},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":33},{"year":2013,"cited_by_count":35},{"year":2012,"cited_by_count":34}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
