{"id":"https://openalex.org/W2091380827","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891719","title":"Modeling time series with fuzzy cognitive maps","display_name":"Modeling time series with fuzzy cognitive maps","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2091380827","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891719","mag":"2091380827"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5075878748","display_name":"W\u0142adys\u0142aw Homenda","orcid":"https://orcid.org/0000-0001-7787-4927"},"institutions":[{"id":"https://openalex.org/I245364917","display_name":"University of Bia\u0142ystok","ror":"https://ror.org/01qaqcf60","country_code":"PL","type":"education","lineage":["https://openalex.org/I245364917"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Wladyslaw Homenda","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Bialystok, Bialystok, Poland","Faculty of Mathematics and Information Science, Warsaw University Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Bialystok, Bialystok, Poland","institution_ids":["https://openalex.org/I245364917"]},{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University Technology, Warsaw, Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033442768","display_name":"Agnieszka Jastrz\u0119bska","orcid":"https://orcid.org/0000-0001-5361-5787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agnieszka Jastrzebska","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University Technology, Warsaw, Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"funder","lineage":["https://openalex.org/I99542240"]},{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA","PL"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB, Canada","Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075878748"],"corresponding_institution_ids":["https://openalex.org/I245364917"],"apc_list":null,"apc_paid":null,"fwci":10.2252,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.98261044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2055","last_page":"2062"},"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":0.9787999987602234,"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":0.9067999720573425,"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/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.9517461061477661},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6525623798370361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350971460342407},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6037582159042358},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.5892296433448792},{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.495868057012558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48773154616355896},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48643016815185547},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4605838656425476},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3383232355117798},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3311406373977661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32316815853118896},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.2702175974845886}],"concepts":[{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.9517461061477661},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6525623798370361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350971460342407},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6037582159042358},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.5892296433448792},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.495868057012558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48773154616355896},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48643016815185547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4605838656425476},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3383232355117798},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3311406373977661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32316815853118896},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.2702175974845886},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891719","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1966153007","https://openalex.org/W1979559277","https://openalex.org/W2000214310","https://openalex.org/W2051536091","https://openalex.org/W2066447749","https://openalex.org/W2121657501","https://openalex.org/W2129588477","https://openalex.org/W2313953460","https://openalex.org/W2606111292","https://openalex.org/W4241115065","https://openalex.org/W4253708194","https://openalex.org/W4292081285"],"related_works":["https://openalex.org/W2372922208","https://openalex.org/W3023217638","https://openalex.org/W2777396095","https://openalex.org/W2098983012","https://openalex.org/W1992321938","https://openalex.org/W2343440291","https://openalex.org/W152393904","https://openalex.org/W1661487699","https://openalex.org/W2184475782","https://openalex.org/W2600840850"],"abstract_inverted_index":{"Fuzzy":[0,27,48,73,79,94,170],"Cognitive":[1,28,49,74,80,95,171],"Maps":[2,96,172],"are":[3,9,144],"recognized":[4],"knowledge":[5],"modeling":[6,71,168],"tool.":[7],"FCMs":[8],"visualized":[10],"with":[11,72,84,132,146,169],"directed":[12],"graphs.":[13],"Nodes":[14],"represent":[15,18],"information,":[16],"edges":[17],"relations":[19],"within":[20],"information.":[21],"The":[22,103,153],"core":[23],"element":[24],"of":[25,36,105,120,135,157,162],"each":[26],"Map":[29,50,81],"is":[30,44,130,160],"weights":[31,42],"matrix,":[32],"which":[33,123],"contains":[34],"evaluations":[35],"connections":[37],"between":[38],"map's":[39],"nodes.":[40],"Typically,":[41],"matrix":[43],"constructed":[45],"by":[46],"experts.":[47],"can":[51],"be":[52],"also":[53],"reconstructed":[54],"in":[55],"an":[56],"unmanned":[57],"mode.":[58],"In":[59],"this":[60,158],"article":[61],"authors":[62],"present":[63],"their":[64],"own,":[65],"new":[66],"approach":[67,87],"to":[68,88,97,109,149],"time":[69,89,101,125,140,150,166],"series":[70,90,126,134,151,167],"Maps.":[75],"Developed":[76,128],"methodology":[77,164],"joins":[78],"reconstruction":[82],"procedure":[83,129],"moving":[85,111,174],"window":[86,112],"prediction.":[91],"Authors":[92],"train":[93],"model":[98],"and":[99,114,173],"forecast":[100],"series.":[102,141],"size":[104,113],"the":[106,110,118,163],"map":[107],"corresponds":[108],"it":[115],"informs":[116],"about":[117],"length":[119],"historical":[121],"data,":[122],"produces":[124],"model.":[127],"illustrated":[131],"a":[133],"experiments":[136],"on":[137],"three":[138],"real-life":[139],"Obtained":[142],"results":[143],"compared":[145],"other":[147],"approaches":[148],"modeling.":[152],"most":[154],"important":[155],"contribution":[156],"paper":[159],"description":[161],"for":[165],"windows.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}