{"id":"https://openalex.org/W3120616729","doi":"https://doi.org/10.1142/s0218488521500021","title":"Monthly River Discharge Prediction by Wavelet Fuzzy Time Series Method","display_name":"Monthly River Discharge Prediction by Wavelet Fuzzy Time Series Method","publication_year":2021,"publication_date":"2021-01-06","ids":{"openalex":"https://openalex.org/W3120616729","doi":"https://doi.org/10.1142/s0218488521500021","mag":"3120616729"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488521500021","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488521500021","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based 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/A5055558805","display_name":"Eyyup Ensar Ba\u015fak\u0131n","orcid":"https://orcid.org/0000-0002-9045-5302"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Eyyup Ensar Ba\u015fakin","raw_affiliation_strings":["Istanbul Technical University/Department of Civil Engineering, Maslak 34469, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University/Department of Civil Engineering, Maslak 34469, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064405823","display_name":"Mehmet \u00d6zger","orcid":"https://orcid.org/0000-0001-9812-9918"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet \u00d6zger","raw_affiliation_strings":["Istanbul Technical University/Department of Civil Engineering, Maslak 34469, Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Technical University/Department of Civil Engineering, Maslak 34469, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055558805"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.8917,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.68881779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"29","issue":"01","first_page":"17","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9887999892234802,"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/T10320","display_name":"Neural Networks and Applications","score":0.988099992275238,"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":0.6920112371444702},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6749240159988403},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.593137800693512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5797917246818542},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5493150353431702},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5319436192512512},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36235928535461426},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3359173536300659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29985249042510986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.269045889377594},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14487949013710022}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6920112371444702},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6749240159988403},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.593137800693512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5797917246818542},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5493150353431702},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5319436192512512},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36235928535461426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3359173536300659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29985249042510986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.269045889377594},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14487949013710022},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0218488521500021","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488521500021","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/49991","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/49991","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"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":[{"display_name":"Clean water and sanitation","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2077021924","https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370","https://openalex.org/W4387331850"],"abstract_inverted_index":{"Prediction":[0],"of":[1,20,59],"river":[2,21,60],"discharge":[3,127],"is":[4,66,83,103],"important":[5],"for":[6,18,68],"water":[7],"resources":[8],"management.":[9],"Engineers":[10],"have":[11],"developed":[12],"many":[13,34],"physical":[14,26],"and":[15,32],"mathematical":[16,42],"models":[17,28],"prediction":[19,58,94,177],"discharge.":[22,61],"The":[23,62,79],"fact":[24],"that":[25,171],"hydrological":[27],"are":[29],"site":[30],"specific":[31],"include":[33],"parameters,":[35],"has":[36,172],"led":[37],"researchers":[38],"to":[39,75,92,117,148,174],"work":[40],"on":[41],"black-box":[43],"models.":[44],"In":[45],"this":[46],"study,":[47],"the":[48,57,69,135,149,165,176],"fuzzy":[49,151,166],"time":[50,71,107,138,152,167],"series":[51,108,122,139,153,168],"(FTS)":[52],"method":[53,91,141,169],"was":[54],"used":[55,84,99],"in":[56,72,164],"proposed":[63,80],"method,":[64],"which":[65,115],"employed":[67],"first":[70],"hydrology,":[73],"allows":[74,116],"fast":[76],"decision-making":[77],"mechanism.":[78],"algorithm,":[81],"FTS,":[82],"along":[85],"with":[86,157],"continuous":[87],"wavelet":[88,136,158],"transform":[89,159],"(CWT)":[90],"improve":[93,175],"performance.":[95,178],"CWT,":[96],"can":[97],"be":[98],"as":[100],"pre-treatment":[101],"technique,":[102],"able":[104],"decompose":[105],"concerned":[106],"into":[109],"several":[110],"bands":[111],"at":[112],"different":[113],"scales":[114],"predict":[118],"much":[119],"more":[120],"homogeneous":[121],"rather":[123],"than":[124],"complex":[125],"flow":[126],"series.":[128],"By":[129],"considering":[130],"various":[131],"statistical":[132],"success":[133],"criteria,":[134],"transformed":[137],"(WFTS)":[140],"performed":[142],"quite":[143],"high":[144],"accurate":[145],"predictions":[146],"compared":[147],"classical":[150],"method.":[154],"Combining":[155],"FTS":[156],"opens":[160],"a":[161],"new":[162],"window":[163],"applications":[170],"ability":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}