{"id":"https://openalex.org/W3042534059","doi":"https://doi.org/10.1109/rivf48685.2020.9140755","title":"An efficient fuzzy time series forecasting model based on quantifying semantics of words","display_name":"An efficient fuzzy time series forecasting model based on quantifying semantics of words","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3042534059","doi":"https://doi.org/10.1109/rivf48685.2020.9140755","mag":"3042534059"},"language":"en","primary_location":{"id":"doi:10.1109/rivf48685.2020.9140755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf48685.2020.9140755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102827893","display_name":"Nguyen Duy Hieu","orcid":"https://orcid.org/0000-0002-6828-4885"},"institutions":[{"id":"https://openalex.org/I4210139842","display_name":"Tay Bac University","ror":"https://ror.org/04j5g5g52","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210139842"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Duy Hieu","raw_affiliation_strings":["The faculty of Natural Sciences and Technology, Tay Bac University, Sonla, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The faculty of Natural Sciences and Technology, Tay Bac University, Sonla, Vietnam","institution_ids":["https://openalex.org/I4210139842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027771274","display_name":"Nguy\u1ec5n C\u00e1t H\u1ed3","orcid":"https://orcid.org/0000-0002-8388-9399"},"institutions":[{"id":"https://openalex.org/I170238339","display_name":"Duy Tan University","ror":"https://ror.org/05ezss144","country_code":"VN","type":"education","lineage":["https://openalex.org/I170238339"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Nguyen Cat Ho","raw_affiliation_strings":["The Institute of Theorerical and Applied Research, Duy Tan University, Danang, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Theorerical and Applied Research, Duy Tan University, Danang, Vietnam","institution_ids":["https://openalex.org/I170238339"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020076733","display_name":"V\u0169 Nh\u01b0 L\u00e2n","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097659","display_name":"Thang Long University","ror":"https://ror.org/00dd6af44","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210097659"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Vu Nhu Lan","raw_affiliation_strings":["The faculty of Mathematics and Informatics, Thang Long University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The faculty of Mathematics and Informatics, Thang Long University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210097659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6317,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91601242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9955000281333923,"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":0.9955000281333923,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9922000169754028,"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/T10820","display_name":"Fuzzy Logic and Control Systems","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/series","display_name":"Series (stratigraphy)","score":0.59125155210495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5302571654319763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.507961094379425},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4407983422279358},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4332144260406494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3988490700721741},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1726631224155426}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.59125155210495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5302571654319763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.507961094379425},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4407983422279358},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4332144260406494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3988490700721741},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1726631224155426},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf48685.2020.9140755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf48685.2020.9140755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1059174889","https://openalex.org/W1971869067","https://openalex.org/W1992096620","https://openalex.org/W1993199337","https://openalex.org/W2029033426","https://openalex.org/W2041116216","https://openalex.org/W2131453387","https://openalex.org/W2149320615","https://openalex.org/W2161555129","https://openalex.org/W2168577773","https://openalex.org/W2726957199","https://openalex.org/W2910375464","https://openalex.org/W4241443503"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W1919101720","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928"],"abstract_inverted_index":{"Fuzzy":[0],"time":[1,44,58,106,117],"series":[2,59,107,118],"forecasting":[3,60,119],"model":[4,120],"was":[5],"first":[6],"introduced":[7],"by":[8],"Song":[9],"and":[10,127],"Chissom,":[11],"in":[12,19,24,42,96],"1993.":[13],"Then,":[14],"Chen":[15],"examined":[16],"this":[17,67],"model,":[18],"1996,":[20],"applying":[21],"fuzzy":[22,32],"rules":[23,90],"the":[25,55,88,122,133,144,147],"form":[26,93],"Ai\u2192":[27],"Aj,":[28],"where":[29],"Aiand":[30],"Ajare":[31],"sets":[33],"associated":[34],"with":[35,75,78,113],"linguistic":[36,116],"labels":[37],"representing":[38],"their":[39,79,104,128],"corresponding":[40,105],"values":[41],"a":[43,114],"series.":[45],"Since":[46],"then,":[47],"many":[48],"methods":[49],"have":[50],"been":[51],"proposed":[52,148],"to":[53,142],"improve":[54],"accuracy":[56],"of":[57,92,125,146],"results":[61],"or":[62],"decrease":[63],"processing":[64],"times.":[65],"In":[66],"study,":[68],"we":[69,85,110],"propose":[70],"another":[71],"approach":[72],"dealing":[73],"directly":[74],"human":[76,100],"words":[77,102,126],"own":[80],"inherent":[81,123],"semantics.":[82],"That":[83],"is,":[84],"assume":[86],"that":[87],"above":[89],"are":[91],"Xi\u2192":[94],"Xj,":[95],"which":[97],"Xiand":[98],"Xjare":[99],"expert":[101],"describing":[103],"values.":[108],"Therefore,":[109],"should":[111],"deal":[112],"so-called":[115],"using":[121],"semantics":[124,130],"quantitative":[129],"based":[131],"on":[132],"hedge":[134],"algebras":[135],"formalism.":[136],"A":[137],"comparative":[138],"experiment":[139],"is":[140],"made":[141],"show":[143],"usefulness":[145],"model.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}