{"id":"https://openalex.org/W1976010788","doi":"https://doi.org/10.1108/03684921211243284","title":"Grey linear regression model and its application","display_name":"Grey linear regression model and its application","publication_year":2012,"publication_date":"2012-06-08","ids":{"openalex":"https://openalex.org/W1976010788","doi":"https://doi.org/10.1108/03684921211243284","mag":"1976010788"},"language":"en","primary_location":{"id":"doi:10.1108/03684921211243284","is_oa":false,"landing_page_url":"https://doi.org/10.1108/03684921211243284","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","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/A5103253232","display_name":"Xinping Xiao","orcid":"https://orcid.org/0000-0002-9615-501X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinping Xiao","raw_affiliation_strings":["College of Science, Wuhan University of Technology, Wuhan, China","(College of Science, Wuhan University of Technology, Wuhan, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"(College of Science, Wuhan University of Technology, Wuhan, China)","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100830509","display_name":"Yayun Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayun Lu","raw_affiliation_strings":["College of Science, Wuhan University of Technology, Wuhan, China","(College of Science, Wuhan University of Technology, Wuhan, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"(College of Science, Wuhan University of Technology, Wuhan, China)","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":0.8121,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75075606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"41","issue":"5/6","first_page":"622","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.9988999962806702,"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/T12368","display_name":"Grey System Theory Applications","score":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.5889639258384705},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5746772885322571},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5294981598854065},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5213040709495544},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5193299055099487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49406149983406067},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.48649829626083374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4860577881336212},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4615459740161896},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44796517491340637},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42209911346435547},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4011009633541107},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38543862104415894},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.350188285112381},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3051217794418335},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2731839418411255}],"concepts":[{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.5889639258384705},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5746772885322571},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5294981598854065},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5213040709495544},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5193299055099487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49406149983406067},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.48649829626083374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4860577881336212},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4615459740161896},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44796517491340637},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42209911346435547},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4011009633541107},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38543862104415894},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.350188285112381},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3051217794418335},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2731839418411255},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/03684921211243284","is_oa":false,"landing_page_url":"https://doi.org/10.1108/03684921211243284","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2003770413","https://openalex.org/W2014612943","https://openalex.org/W2038822678","https://openalex.org/W2083403319","https://openalex.org/W2094580325","https://openalex.org/W2124660084","https://openalex.org/W2364193987","https://openalex.org/W2388311630"],"related_works":["https://openalex.org/W2092994918","https://openalex.org/W3093365844","https://openalex.org/W1519288722","https://openalex.org/W4311364185","https://openalex.org/W3118299338","https://openalex.org/W2379898021","https://openalex.org/W4309298396","https://openalex.org/W2376794814","https://openalex.org/W1769516736","https://openalex.org/W267133670"],"abstract_inverted_index":{"Purpose":[0],"The":[1,139],"purpose":[2],"of":[3,11,118,141,151,154,199,202,220],"this":[4,63,84],"paper":[5,64,85,147,177],"is":[6],"to":[7,60,165],"simplify":[8],"the":[9,15,22,25,44,51,55,58,66,70,77,81,92,98,101,108,127,130,134,146,149,152,155,169,185,190,203,209,221],"computation":[10,188],"parameter":[12,119,142,186],"estimation":[13,88,187],"in":[14,32,50,94,145,189,223],"grey":[16,109,156,191],"linear":[17,110,157,192],"regression":[18,111,158,193],"model":[19,102,166,204,210,222],"and":[20,53,69,90,97,103,121,133,160,167,205,211],"solve":[21],"problem":[23],"that":[24,46],"development":[26],"coefficient":[27],"could":[28],"not":[29],"be":[30,48,163],"computed":[31],"some":[33,180],"sequence":[34],"data,":[35],"such":[36,183],"as":[37,125,184],"short\u2010term":[38,225],"traffic":[39,173,226],"flow.":[40,174],"Design/methodology/approach":[41],"Starting":[42],"from":[43],"limitation":[45],"can":[47,162],"identified":[49],"equation":[52,132],"analyzing":[54],"range":[56],"using":[57],"method":[59,89,117,140],"estimate":[61],"parameters,":[62],"researches":[65],"modelling":[67],"mechanism":[68],"other":[71,123],"forms":[72,96,124,201],"which":[73],"are":[74],"equivalent":[75],"with":[76],"original":[78,128],"form.":[79,136],"At":[80],"same":[82],"time,":[83],"gives":[86],"an":[87],"gets":[91],"relationship":[93,99,207],"various":[95],"between":[100,208],"GM(1,1)":[104,212],"model.":[105,194],"Findings":[106],"For":[107],"model,":[112,159],"there":[113],"exists":[114],"a":[115,224],"new":[116],"identification":[120,143],"three":[122,197],"follows:":[126],"form,":[129],"Whitenization":[131],"connotation":[135],"Practical":[137],"implications":[138],"exposed":[144],"expanded":[148],"scope":[150],"application":[153,219],"it":[161],"used":[164],"forecast":[168],"urban":[170],"road":[171],"short\u2010time":[172],"Originality/value":[175],"This":[176],"has":[178,229],"solved":[179],"complicated":[181],"problems":[182],"In":[195],"addition,":[196],"kinds":[198],"representation":[200],"its":[206,218,231],"have":[213],"also":[214],"been":[215],"presented.":[216],"Finally,":[217],"flow":[227],"prediction":[228],"shown":[230],"superiority.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
