{"id":"https://openalex.org/W2339824360","doi":"https://doi.org/10.11114/aef.v3i3.1568","title":"Fuzzy Time Series Theory Application for the China Containerized Freight Index","display_name":"Fuzzy Time Series Theory Application for the China Containerized Freight Index","publication_year":2016,"publication_date":"2016-04-22","ids":{"openalex":"https://openalex.org/W2339824360","doi":"https://doi.org/10.11114/aef.v3i3.1568","mag":"2339824360"},"language":"en","primary_location":{"id":"doi:10.11114/aef.v3i3.1568","doi":"https://doi.org/10.11114/aef.v3i3.1568","is_oa":true,"landing_page_url":"https://doi.org/10.11114/aef.v3i3.1568","pdf_url":"http://redfame.com/journal/index.php/aef/article/download/1568/1586","source":{"id":"https://openalex.org/S2764997973","display_name":"Applied Economics and Finance","issn_l":"2332-7294","issn":["2332-7294","2332-7308"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4362724842","host_organization_name":"Redfame Publishing","host_organization_lineage":["https://openalex.org/P4362724842"],"host_organization_lineage_names":["Redfame Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Economics and Finance","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://redfame.com/journal/index.php/aef/article/download/1568/1586","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110135889","display_name":"Ming\u2010Tao Chou","orcid":"https://orcid.org/0000-0002-9620-3309","observed_orcids":["https://orcid.org/0000-0002-9620-3309"]},"institutions":[{"id":"https://openalex.org/I80327900","display_name":"Chang Jung Christian University","ror":"https://ror.org/02s3d7j94","country_code":"TW","type":"education","lineage":["https://openalex.org/I80327900"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Tao Chou","raw_affiliation_strings":["Department of Aviation and Maritime Transportation Management,Chang Jung Christian University, Republic of China (Taiwan)No. 396, Chang Jung Rd. Sec.1, Kway Jen, Tainan 711101, Taiwan","Department of Aviation and Maritime Transportation Management,Chang Jung Christian University, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aviation and Maritime Transportation Management,Chang Jung Christian University, Republic of China (Taiwan)No. 396, Chang Jung Rd. Sec.1, Kway Jen, Tainan 711101, Taiwan","institution_ids":["https://openalex.org/I80327900"]},{"raw_affiliation_string":"Department of Aviation and Maritime Transportation Management,Chang Jung Christian University, Taiwan","institution_ids":["https://openalex.org/I80327900"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110135889"],"corresponding_institution_ids":["https://openalex.org/I80327900"],"apc_list":null,"apc_paid":null,"fwci":0.7303,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77390079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.6460000276565552,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.6460000276565552,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.17960000038146973,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.05180000141263008,"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/freight-rate-forecasting","display_name":"freight rate forecasting","score":0.7540000081062317},{"id":"https://openalex.org/keywords/fuzzy-time-series","display_name":"fuzzy time series","score":0.8109999895095825},{"id":"https://openalex.org/keywords/volatility-clustering","display_name":"volatility clustering","score":0.9269999861717224},{"id":"https://openalex.org/keywords/maritime-freight-transport","display_name":"maritime freight transport","score":0.4729999899864197},{"id":"https://openalex.org/keywords/shipping-market","display_name":"shipping market","score":0.4020000100135803}],"concepts":[{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.648648738861084},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6239122748374939},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.5928963422775269},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5052295327186584},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.5048826336860657},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47251614928245544},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4499149024486542},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4383500814437866},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.41130736470222473},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.38802433013916016},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3633410930633545},{"id":"https://openalex.org/C48824518","wikidata":"https://www.wikidata.org/wiki/Q396340","display_name":"Agricultural economics","level":1,"score":0.35861867666244507},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.33885544538497925},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24180030822753906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1764572560787201},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.17187398672103882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16824162006378174},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.11114/aef.v3i3.1568","doi":"https://doi.org/10.11114/aef.v3i3.1568","is_oa":true,"landing_page_url":"https://doi.org/10.11114/aef.v3i3.1568","pdf_url":"http://redfame.com/journal/index.php/aef/article/download/1568/1586","source":{"id":"https://openalex.org/S2764997973","display_name":"Applied Economics and Finance","issn_l":"2332-7294","issn":["2332-7294","2332-7308"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4362724842","host_organization_name":"Redfame Publishing","host_organization_lineage":["https://openalex.org/P4362724842"],"host_organization_lineage_names":["Redfame Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Economics and Finance","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:rfa:aefjnl:v:3:y:2016:i:3:p:127-135","doi":null,"is_oa":false,"landing_page_url":"http://redfame.com/journal/index.php/aef/article/view/1568/1586","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,"listed_in":[],"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":{"id":"doi:10.11114/aef.v3i3.1568","doi":"https://doi.org/10.11114/aef.v3i3.1568","is_oa":true,"landing_page_url":"https://doi.org/10.11114/aef.v3i3.1568","pdf_url":"http://redfame.com/journal/index.php/aef/article/download/1568/1586","source":{"id":"https://openalex.org/S2764997973","display_name":"Applied Economics and Finance","issn_l":"2332-7294","issn":["2332-7294","2332-7308"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4362724842","host_organization_name":"Redfame Publishing","host_organization_lineage":["https://openalex.org/P4362724842"],"host_organization_lineage_names":["Redfame Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Economics and Finance","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2339824360.pdf","grobid_xml":"https://content.openalex.org/works/W2339824360.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1967453434","https://openalex.org/W1971869067","https://openalex.org/W1996112337","https://openalex.org/W2017954768","https://openalex.org/W2042674577","https://openalex.org/W2053571968","https://openalex.org/W2064649121","https://openalex.org/W2077037475","https://openalex.org/W2129289945","https://openalex.org/W2131453387","https://openalex.org/W2168577773","https://openalex.org/W2240079187","https://openalex.org/W2309679978","https://openalex.org/W2333018621","https://openalex.org/W2404012078","https://openalex.org/W4211007335"],"related_works":["https://openalex.org/W4410695539","https://openalex.org/W4403955123","https://openalex.org/W7117130884","https://openalex.org/W4390414206","https://openalex.org/W7207867152","https://openalex.org/W3174574832","https://openalex.org/W4385996422","https://openalex.org/W2362021902","https://openalex.org/W4200507079","https://openalex.org/W4411789465"],"abstract_inverted_index":{"China":[0,11],"has":[1,12,88],"evolved":[2],"into":[3],"one":[4],"of":[5,42,78,94,115,131,146],"the":[6,28,39,61,74,82,95,101,113,116,144,149,169],"world\u2019s":[7],"largest":[8],"trading":[9],"nations.":[10],"adequate":[13],"supply":[14,145],"for":[15,140,165],"imports":[16],"and":[17,19],"exports,":[18],"therefore,":[20],"major":[21],"shipping":[22],"companies":[23],"from":[24],"various":[25],"countries":[26],"around":[27,132],"world":[29],"all":[30],"joined":[31],"this":[32],"market":[33],"to":[34,59,72,161],"perform":[35],"freight":[36,50,63],"transport.":[37],"Currently,":[38],"main":[40],"method":[41],"transporting":[43],"goods":[44],"is":[45,53,98,109,118,135],"via":[46],"shipping.":[47],"China\u2019s":[48],"containerized":[49],"index":[51],"(CCFI)":[52],"mainly":[54],"used":[55],"as":[56,163],"a":[57,89,128,152],"reference":[58],"evaluate":[60],"current":[62,96],"tariffs":[64],"standard.":[65],"This":[66],"study":[67],"uses":[68],"fuzzy":[69],"time":[70],"series":[71,87],"predict":[73],"CCFI.":[75,155],"The":[76],"results":[77],"our":[79],"analysis":[80],"found":[81],"following:":[83],"1.":[84],"CCFI":[85,123],"yield":[86,97],"volatility-clustering":[90],"characteristic":[91],"(the":[92],"mean":[93,104],"negative);":[99],"2.":[100],"R.M.S.P.E.":[102],"(root":[103],"square":[105],"percentage":[106],"error)":[107],"value":[108],"0.078%,":[110],"indicating":[111],"that":[112],"goodness-of-fit":[114],"model":[117],"quite":[119],"good;":[120],"3.":[121],"future":[122],"will":[124],"be":[125],"maintained":[126],"at":[127],"low":[129,154],"point":[130],"893.557,":[133],"which":[134],"an":[136],"optimistic":[137],"long-term":[138,153],"indication":[139],"freight;":[141],"4.":[142],"currently,":[143],"ships":[147],"outweighs":[148],"demand,":[150],"causing":[151],"These":[156],"four":[157],"conclusions":[158],"are":[159],"hoped":[160],"serve":[162],"references":[164],"relevant":[166],"policymakers":[167],"in":[168],"future.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-10-07T09:51:55.459714","created_date":"2016-06-24T00:00:00"}
