{"id":"https://openalex.org/W3133095310","doi":"https://doi.org/10.3390/a14030069","title":"The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map","display_name":"The Modeling of Time Series Based on Least Square Fuzzy Cognitive Map","publication_year":2021,"publication_date":"2021-02-24","ids":{"openalex":"https://openalex.org/W3133095310","doi":"https://doi.org/10.3390/a14030069","mag":"3133095310"},"language":"en","primary_location":{"id":"doi:10.3390/a14030069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14030069","pdf_url":"https://www.mdpi.com/1999-4893/14/3/69/pdf?version=1616004052","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/14/3/69/pdf?version=1616004052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031142710","display_name":"Guoliang Feng","orcid":"https://orcid.org/0000-0002-3818-2116"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Feng","raw_affiliation_strings":["School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China","School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]},{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011648302","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-5775-1222"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101495323","display_name":"Jianhua Yang","orcid":"https://orcid.org/0000-0002-1780-4051"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Yang","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian 116024, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101495323"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.3597,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84048653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"69","last_page":"69"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.9455999732017517,"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"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.916700005531311,"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/computer-science","display_name":"Computer science","score":0.6392030715942383},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.6370865702629089},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6094942092895508},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5477921962738037},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5226150155067444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5164859294891357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4268861413002014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42376238107681274},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3450363278388977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30121910572052},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.2856735289096832},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.243915855884552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392030715942383},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.6370865702629089},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6094942092895508},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5477921962738037},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5226150155067444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5164859294891357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268861413002014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42376238107681274},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3450363278388977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30121910572052},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.2856735289096832},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.243915855884552},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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":3,"locations":[{"id":"doi:10.3390/a14030069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14030069","pdf_url":"https://www.mdpi.com/1999-4893/14/3/69/pdf?version=1616004052","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e6d620dbf92f4ee8bd8a72a46dc535b6","is_oa":true,"landing_page_url":"https://doaj.org/article/e6d620dbf92f4ee8bd8a72a46dc535b6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 14, Iss 3, p 69 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/14/3/69/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a14030069","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 14; Issue 3; Pages: 69","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a14030069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a14030069","pdf_url":"https://www.mdpi.com/1999-4893/14/3/69/pdf?version=1616004052","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133095310.pdf","grobid_xml":"https://content.openalex.org/works/W3133095310.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W376489689","https://openalex.org/W1567783255","https://openalex.org/W1576986334","https://openalex.org/W1578549529","https://openalex.org/W1967034721","https://openalex.org/W1975702385","https://openalex.org/W1977575836","https://openalex.org/W1988116476","https://openalex.org/W1993199337","https://openalex.org/W1995450389","https://openalex.org/W2024826298","https://openalex.org/W2048281837","https://openalex.org/W2056217570","https://openalex.org/W2066031679","https://openalex.org/W2072934801","https://openalex.org/W2081232506","https://openalex.org/W2085388609","https://openalex.org/W2089085970","https://openalex.org/W2091380827","https://openalex.org/W2095224843","https://openalex.org/W2121657501","https://openalex.org/W2122887746","https://openalex.org/W2129588477","https://openalex.org/W2153733695","https://openalex.org/W2168577773","https://openalex.org/W2190869216","https://openalex.org/W2332671993","https://openalex.org/W2344135745","https://openalex.org/W2748669035","https://openalex.org/W2762067248","https://openalex.org/W2802161886","https://openalex.org/W2944288969","https://openalex.org/W2969896163","https://openalex.org/W2979534234"],"related_works":["https://openalex.org/W2991207020","https://openalex.org/W1661487699","https://openalex.org/W2372922208","https://openalex.org/W1491151750","https://openalex.org/W2145925682","https://openalex.org/W2777396095","https://openalex.org/W2617561368","https://openalex.org/W1982418457","https://openalex.org/W2365224437","https://openalex.org/W2141522009"],"abstract_inverted_index":{"A":[0,44],"novel":[1],"design":[2],"method":[3,27],"for":[4,112],"time":[5,42,154],"series":[6,155],"modeling":[7,172],"and":[8,84,92,139],"prediction":[9,115],"with":[10,59,105,158],"fuzzy":[11,45,66],"cognitive":[12,67],"maps":[13],"(FCM)":[14],"is":[15,49,70,80,123],"proposed":[16,171],"in":[17,117,133],"this":[18],"paper.":[19],"The":[20,151,174],"developed":[21],"model":[22,79],"exploits":[23],"the":[24,30,37,53,56,60,63,96,99,107,110,113,119,127,135,140,146,170,179,182],"least":[25,64],"square":[26,65],"to":[28,51,89,125,168],"learn":[29],"weight":[31],"matrix":[32],"of":[33,41,55,98,109,137,142,148,181],"FCM":[34,149],"derived":[35],"from":[36,163],"given":[38],"historical":[39],"data":[40,156],"series.":[43],"c-means":[46],"clustering":[47],"algorithm":[48,122],"used":[50,124],"construct":[52],"concepts":[54,111,138],"FCM.":[57],"Compared":[58],"traditional":[61],"FCM,":[62],"map":[68],"(LSFCM)":[69],"a":[71,81],"direct":[72],"solution":[73],"procedure":[74],"without":[75],"iterative":[76],"calculations.":[77],"LSFCM":[78,100],"straightforward,":[82],"robust":[83],"rapid":[85],"learning":[86],"method,":[87],"owing":[88],"its":[90],"reliable":[91],"efficient.":[93],"In":[94],"addition,":[95],"structure":[97],"can":[101],"be":[102],"further":[103],"optimized":[104],"refinements":[106],"position":[108],"higher":[114],"precision,":[116],"which":[118],"evolutionary":[120],"optimization":[121],"find":[126],"optimal":[128],"concepts.":[129],"Withal,":[130],"we":[131],"discussed":[132],"detail":[134],"number":[136],"parameters":[141],"activation":[143],"function":[144],"on":[145],"impact":[147],"models.":[150],"publicly":[152],"available":[153],"sets":[157],"different":[159,164],"statistical":[160],"characteristics":[161],"coming":[162],"areas":[165],"are":[166],"applied":[167],"evaluate":[169],"approach.":[173,183],"obtained":[175],"results":[176],"clearly":[177],"show":[178],"effectiveness":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
