{"id":"https://openalex.org/W2145744906","doi":"https://doi.org/10.1109/fuzzy.2011.6007546","title":"Long-term business cycle forecasting using intuitionistic fuzzy least-squares support vector regression","display_name":"Long-term business cycle forecasting using intuitionistic fuzzy least-squares support vector regression","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2145744906","doi":"https://doi.org/10.1109/fuzzy.2011.6007546","mag":"2145744906"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-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/A5037716224","display_name":"Kuo-Ping Lin","orcid":"https://orcid.org/0000-0002-8649-8959"},"institutions":[{"id":"https://openalex.org/I50519452","display_name":"Lunghwa University of Science and Technology","ror":"https://ror.org/001y2wd07","country_code":"TW","type":"education","lineage":["https://openalex.org/I50519452"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuo-Ping Lin","raw_affiliation_strings":["Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan","Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I50519452"]},{"raw_affiliation_string":"Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan#TAB#","institution_ids":["https://openalex.org/I50519452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008902961","display_name":"Kuo-Chen Hung","orcid":"https://orcid.org/0000-0001-5614-858X"},"institutions":[{"id":"https://openalex.org/I4210094862","display_name":"National Defense University","ror":"https://ror.org/00hkj1v53","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210094862"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuo-Chen Hung","raw_affiliation_strings":["Department of Logistics Management, National Defense University, Taipei, Taiwan","Department of Logistics Management, National Defense University, Taipei, Taiwan;"],"affiliations":[{"raw_affiliation_string":"Department of Logistics Management, National Defense University, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210094862"]},{"raw_affiliation_string":"Department of Logistics Management, National Defense University, Taipei, Taiwan;","institution_ids":["https://openalex.org/I4210094862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030424640","display_name":"Ming\u2010Chang Wu","orcid":"https://orcid.org/0000-0002-1097-0399"},"institutions":[{"id":"https://openalex.org/I50519452","display_name":"Lunghwa University of Science and Technology","ror":"https://ror.org/001y2wd07","country_code":"TW","type":"education","lineage":["https://openalex.org/I50519452"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Chang Wu","raw_affiliation_strings":["Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan","Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I50519452"]},{"raw_affiliation_string":"Department of Information Management, Lunghwa University of Science and Technology, Taoyuan, Taiwan#TAB#","institution_ids":["https://openalex.org/I50519452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037716224"],"corresponding_institution_ids":["https://openalex.org/I50519452"],"apc_list":null,"apc_paid":null,"fwci":0.4097,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69631458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"217","issue":null,"first_page":"2495","last_page":"2499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9904000163078308,"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"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7482712864875793},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5680280923843384},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48908334970474243},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.4849553108215332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.475541353225708},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.46009841561317444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45159173011779785},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4218120574951172},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41471365094184875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31654462218284607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.310085654258728},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23291531205177307}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7482712864875793},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5680280923843384},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48908334970474243},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.4849553108215332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.475541353225708},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.46009841561317444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45159173011779785},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4218120574951172},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41471365094184875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31654462218284607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.310085654258728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23291531205177307},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"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":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1496317909","https://openalex.org/W1528458083","https://openalex.org/W1980564456","https://openalex.org/W1985817801","https://openalex.org/W1991421040","https://openalex.org/W2005233125","https://openalex.org/W2007057010","https://openalex.org/W2010284576","https://openalex.org/W2012079387","https://openalex.org/W2014158063","https://openalex.org/W2016884077","https://openalex.org/W2018192341","https://openalex.org/W2019065616","https://openalex.org/W2029074979","https://openalex.org/W2029613065","https://openalex.org/W2029966530","https://openalex.org/W2031241748","https://openalex.org/W2031849634","https://openalex.org/W2032170121","https://openalex.org/W2033486907","https://openalex.org/W2038529478","https://openalex.org/W2041501662","https://openalex.org/W2043204368","https://openalex.org/W2046134594","https://openalex.org/W2046809621","https://openalex.org/W2061318564","https://openalex.org/W2082584694","https://openalex.org/W2083480853","https://openalex.org/W2088000465","https://openalex.org/W2113238782","https://openalex.org/W2121078958","https://openalex.org/W2123737232","https://openalex.org/W2160203106","https://openalex.org/W2912565176","https://openalex.org/W3126014112","https://openalex.org/W4211007335","https://openalex.org/W4292295629","https://openalex.org/W4301501800"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W2382231800","https://openalex.org/W2650781048","https://openalex.org/W2538830880","https://openalex.org/W2350302603","https://openalex.org/W2134202645","https://openalex.org/W2394871888","https://openalex.org/W2012353789","https://openalex.org/W2769345709","https://openalex.org/W2372354349"],"abstract_inverted_index":{"Long-term":[0],"business":[1,31,112,142],"cycle":[2],"forecasting":[3,27,49,127],"is":[4],"a":[5,15],"very":[6],"important":[7],"issue":[8],"in":[9,48,91,124],"economic":[10],"evaluation.":[11],"This":[12],"study":[13],"presents":[14],"novel":[16],"intuitionistic":[17,67],"fuzzy":[18,68,72],"least-squares":[19,39,62],"support":[20,34,40,63],"vector":[21,35,41,64],"regression":[22,36],"(IFLS-SVR)":[23],"model":[24,59,132],"for":[25,109,139],"accurately":[26],"long-term":[28,137],"index":[29,113,143],"of":[30,97,126],"cycle.":[32],"Traditional":[33],"(SVR)":[37],"and":[38,74,78,105],"regressions":[42,65],"(LS-SVR)":[43],"have":[44],"been":[45],"successfully":[46],"applied":[47],"problems":[50],"especially":[51],"complex/nonlinear":[52],"system.":[53],"In":[54,100],"this":[55,101],"paper,":[56],"the":[57,81,110,119,130,140],"prediction":[58,138],"adopts":[60],"two":[61,95],"with":[66],"sets":[69],"to":[70,93],"approach":[71,80],"upper":[73],"lower":[75],"bounds":[76],"respectively,":[77],"then":[79],"crisp":[82],"predict":[83],"values.":[84],"Genetic":[85],"algorithms":[86],"(GAs)":[87],"are":[88,107],"also":[89],"employed":[90,108],"order":[92],"select":[94],"parameters":[96],"IFLS-SVR":[98,120,131],"models.":[99],"study,":[102],"IFLS-SVR,":[103],"LS-SVR":[104],"SVR":[106],"Taiwan":[111,141],"forecasting.":[114,144],"Empirical":[115],"results":[116],"indicate":[117],"that":[118],"has":[121],"better":[122],"performance":[123],"terms":[125],"accuracy.":[128],"Therefore,":[129],"can":[133],"efficiently":[134],"provide":[135],"credible":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}