{"id":"https://openalex.org/W2546251317","doi":"https://doi.org/10.4018/ijfsa.2016100107","title":"High Order Time Series Forecasting using Fuzzy Discretization","display_name":"High Order Time Series Forecasting using Fuzzy Discretization","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2546251317","doi":"https://doi.org/10.4018/ijfsa.2016100107","mag":"2546251317"},"language":"en","primary_location":{"id":"doi:10.4018/ijfsa.2016100107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijfsa.2016100107","pdf_url":null,"source":{"id":"https://openalex.org/S4210179311","display_name":"International Journal of Fuzzy System Applications","issn_l":"2156-1761","issn":["2156-1761","2156-177X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Fuzzy System Applications","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/A5110535783","display_name":"Mahua Bose","orcid":null},"institutions":[{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahua Bose","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Kalyani, Nadia, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Kalyani, Nadia, India","institution_ids":["https://openalex.org/I77501641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014680453","display_name":"Kalyani Mali","orcid":"https://orcid.org/0000-0002-0647-6128"},"institutions":[{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kalyani Mali","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Kalyani, Nadia, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Kalyani, Nadia, India","institution_ids":["https://openalex.org/I77501641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4922,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85833469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"5","issue":"4","first_page":"147","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9926000237464905,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/interval","display_name":"Interval (graph theory)","score":0.761530876159668},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.748682975769043},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5808569192886353},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5468695163726807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5183733105659485},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.49256449937820435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46165144443511963},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.454912930727005},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.44699960947036743},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.35110658407211304},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3378492593765259},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33308449387550354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21186968684196472},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16368991136550903},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.06734421849250793}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.761530876159668},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.748682975769043},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5808569192886353},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5468695163726807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5183733105659485},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.49256449937820435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46165144443511963},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.454912930727005},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.44699960947036743},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.35110658407211304},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3378492593765259},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33308449387550354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21186968684196472},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16368991136550903},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.06734421849250793},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":2,"locations":[{"id":"doi:10.4018/ijfsa.2016100107","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijfsa.2016100107","pdf_url":null,"source":{"id":"https://openalex.org/S4210179311","display_name":"International Journal of Fuzzy System Applications","issn_l":"2156-1761","issn":["2156-1761","2156-177X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Fuzzy System Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jfsa00:v:5:y:2016:i:4:p:147-164","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.2016100107","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W11732639","https://openalex.org/W1561596607","https://openalex.org/W1594259338","https://openalex.org/W1947426542","https://openalex.org/W1969574035","https://openalex.org/W1970926876","https://openalex.org/W1971869067","https://openalex.org/W1977182634","https://openalex.org/W1977326290","https://openalex.org/W1992096620","https://openalex.org/W1993199337","https://openalex.org/W2000507891","https://openalex.org/W2010628845","https://openalex.org/W2014305832","https://openalex.org/W2016646227","https://openalex.org/W2017954768","https://openalex.org/W2024184269","https://openalex.org/W2027182449","https://openalex.org/W2027294427","https://openalex.org/W2036156437","https://openalex.org/W2038781693","https://openalex.org/W2041598452","https://openalex.org/W2041723679","https://openalex.org/W2043077493","https://openalex.org/W2050288270","https://openalex.org/W2052011703","https://openalex.org/W2052946472","https://openalex.org/W2055097068","https://openalex.org/W2057482964","https://openalex.org/W2067244722","https://openalex.org/W2067905240","https://openalex.org/W2069803859","https://openalex.org/W2077037475","https://openalex.org/W2079503797","https://openalex.org/W2081874651","https://openalex.org/W2083309845","https://openalex.org/W2085752583","https://openalex.org/W2093842148","https://openalex.org/W2112243708","https://openalex.org/W2116911268","https://openalex.org/W2130519559","https://openalex.org/W2131453387","https://openalex.org/W2132587072","https://openalex.org/W2149320615","https://openalex.org/W2150755414","https://openalex.org/W2157041604","https://openalex.org/W2160818931","https://openalex.org/W2165934199","https://openalex.org/W2168577773","https://openalex.org/W2198965338","https://openalex.org/W3139802415"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W2381165205","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2119012848","https://openalex.org/W1990205660"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"various":[3],"methods":[4,95],"for":[5],"forecasting":[6,51],"fuzzy":[7,65],"time":[8],"series":[9],"have":[10],"been":[11,41],"presented":[12],"in":[13,28],"different":[14],"areas,":[15],"such":[16],"as":[17],"stock":[18],"price,":[19],"enrollments,":[20],"weather,":[21],"production":[22,107],"etc.":[23],"It":[24],"is":[25,59],"observed":[26],"that":[27],"most":[29],"of":[30,35,38,44,55,64,74,77,119],"the":[31,45,62,72,85,90],"cases,":[32],"static":[33],"length":[34,37],"intervals/equal":[36],"interval":[39,46,68,83],"has":[40,47],"used.":[42],"Length":[43],"significant":[48],"role":[49],"on":[50,102],"accuracy.":[52],"The":[53],"objective":[54],"this":[56],"present":[57],"study":[58],"to":[60,84],"incorporate":[61],"idea":[63,88],"discretization":[66],"into":[67],"creation":[69],"and":[70,111],"examine":[71],"effect":[73],"positional":[75],"information":[76],"elements":[78],"within":[79],"a":[80,117],"group":[81],"or":[82],"forecast.":[86],"This":[87],"outperforms":[89],"existing":[91],"high":[92],"order":[93],"forecast":[94],"using":[96],"fixed":[97],"interval.":[98],"Experiments":[99],"are":[100],"carried":[101],"three":[103],"datasets":[104],"including":[105],"Lahi":[106],"data,":[108],"enrollment":[109],"data":[110,113],"rainfall":[112],"which":[114],"deal":[115],"with":[116],"lot":[118],"uncertainty.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
