{"id":"https://openalex.org/W2177839369","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337988","title":"Fuzzy-valued and complex-valued time series analysis using multivariate and complex extensions to singular spectrum analysis","display_name":"Fuzzy-valued and complex-valued time series analysis using multivariate and complex extensions to singular spectrum analysis","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2177839369","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337988","mag":"2177839369"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5005805449","display_name":"Vasile Georgescu","orcid":null},"institutions":[{"id":"https://openalex.org/I97553796","display_name":"University of Craiova","ror":"https://ror.org/03s251g81","country_code":"RO","type":"education","lineage":["https://openalex.org/I97553796"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Vasile Georgescu","raw_affiliation_strings":["Department of Statistics and Informatics, University of Craiova, Craiova, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Informatics, University of Craiova, Craiova, Romania","institution_ids":["https://openalex.org/I97553796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017972826","display_name":"Sorin-Manuel Delureanu","orcid":null},"institutions":[{"id":"https://openalex.org/I97553796","display_name":"University of Craiova","ror":"https://ror.org/03s251g81","country_code":"RO","type":"education","lineage":["https://openalex.org/I97553796"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sorin-Manuel Delureanu","raw_affiliation_strings":["Department of Statistics and Informatics, University of Craiova, Craiova, Romania"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Informatics, University of Craiova, Craiova, Romania","institution_ids":["https://openalex.org/I97553796"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005805449"],"corresponding_institution_ids":["https://openalex.org/I97553796"],"apc_list":null,"apc_paid":null,"fwci":1.0499,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76583458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13487","display_name":"Statistical and numerical algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9258999824523926,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14369","display_name":"Diverse Interdisciplinary Research Innovations","score":0.9082000255584717,"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/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.7942665815353394},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.7873839139938354},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7589660286903381},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.752354621887207},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7478775382041931},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6459360122680664},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.590233325958252},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.556667685508728},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4966502785682678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4427070915699005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43333151936531067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41148611903190613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3974696695804596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.262876957654953},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1889340877532959},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08263877034187317}],"concepts":[{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.7942665815353394},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.7873839139938354},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7589660286903381},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.752354621887207},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7478775382041931},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6459360122680664},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.590233325958252},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.556667685508728},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4966502785682678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4427070915699005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43333151936531067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41148611903190613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3974696695804596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.262876957654953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1889340877532959},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08263877034187317},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"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.2015.7337988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W567681852","https://openalex.org/W1563281071","https://openalex.org/W1717027098","https://openalex.org/W1970916490","https://openalex.org/W1975964493","https://openalex.org/W1977914365","https://openalex.org/W2025727209","https://openalex.org/W2072604118","https://openalex.org/W2119556746","https://openalex.org/W2131453387","https://openalex.org/W2168577773","https://openalex.org/W3124054211","https://openalex.org/W4232129301","https://openalex.org/W4241443503","https://openalex.org/W4297709905"],"related_works":["https://openalex.org/W4394590985","https://openalex.org/W2348840575","https://openalex.org/W2030498341","https://openalex.org/W3122841410","https://openalex.org/W2046205453","https://openalex.org/W2770017172","https://openalex.org/W89977309","https://openalex.org/W2183901182","https://openalex.org/W2030930882","https://openalex.org/W4300013323"],"abstract_inverted_index":{"This":[0],"paper":[1],"provides":[2],"evidence":[3],"for":[4,39,64,112],"the":[5,55,80],"effectiveness":[6],"of":[7,10,32,75,79,124],"two":[8],"extensions":[9],"Singular":[11],"Spectrum":[12],"Analysis,":[13],"Complex":[14],"SSA":[15,19,82],"(CSSA)":[16],"and":[17,30,46,90,98,106,117,131],"Multivariate":[18],"(MSSA),":[20],"when":[21],"performing":[22],"tasks":[23],"such":[24,67],"as":[25,68],"smoothing,":[26,113],"change":[27,84,114],"point":[28,85,115],"detection":[29,86,116],"forecasting":[31,118],"time":[33,41,48,70,137],"series.":[34,49],"CSSA":[35,53,97],"is":[36,93],"well":[37],"suited":[38],"bivariate":[40,56],"series":[42,71],"(usually":[43],"displaying":[44],"co-movements)":[45],"interval-valued":[47],"Functionally":[50],"quasi-equivalent":[51],"with":[52,61,103,119,128],"in":[54,73,109],"case,":[57],"MSSA":[58,99],"comes,":[59],"however,":[60],"its":[62],"extra-potential":[63],"multivariate":[65,91],"objects,":[66],"fuzzy-valued":[69],"(expressed":[72],"terms":[74],"\u03b1-levels).":[76],"Our":[77],"extension":[78],"univariate":[81],"based":[83],"algorithm":[87],"to":[88],"complex":[89],"cases":[92],"a":[94,132],"novel":[95],"approach.":[96],"are":[100],"formally":[101],"compared":[102],"each":[104],"other":[105],"intensively":[107],"tested":[108],"numerical":[110],"experiments":[111],"real-world":[120],"data":[121],"(a":[122],"couple":[123],"foreign":[125],"exchange":[126],"rates":[127],"strong":[129],"co-movements":[130],"triangular-shaped":[133],"fuzzy":[134],"daily":[135],"temperature":[136],"series).":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}