{"id":"https://openalex.org/W4388516545","doi":"https://doi.org/10.1109/fuzz52849.2023.10309770","title":"Classification of Time Series Using FCM-Based Forecasting Models","display_name":"Classification of Time Series Using FCM-Based Forecasting Models","publication_year":2023,"publication_date":"2023-08-13","ids":{"openalex":"https://openalex.org/W4388516545","doi":"https://doi.org/10.1109/fuzz52849.2023.10309770"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz52849.2023.10309770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz52849.2023.10309770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","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/A5040063922","display_name":"Mi\u0142osz Wrzesie\u0144","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109085","display_name":"University of Information Technology and Management in Rzeszow","ror":"https://ror.org/01t81sv44","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210109085"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Mi\u0142osz Wrzesie\u0144","raw_affiliation_strings":["AGH University of Science and Technology,Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering,Krak&#x00F3;w,Poland","University of Information Technology and Management,Faculty of Applied Informatics,Rzesz&#x00F3;w,Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology,Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering,Krak&#x00F3;w,Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"University of Information Technology and Management,Faculty of Applied Informatics,Rzesz&#x00F3;w,Poland","institution_ids":["https://openalex.org/I4210109085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083534813","display_name":"Mariusz Wrzesie\u0144","orcid":"https://orcid.org/0000-0002-1413-6748"},"institutions":[{"id":"https://openalex.org/I4210109085","display_name":"University of Information Technology and Management in Rzeszow","ror":"https://ror.org/01t81sv44","country_code":"PL","type":"education","lineage":["https://openalex.org/I4210109085"]},{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Mariusz Wrzesie\u0144","raw_affiliation_strings":["AGH University of Science and Technology,Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering,Krak&#x00F3;w,Poland","University of Information Technology and Management,Faculty of Applied Informatics,Rzesz&#x00F3;w,Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology,Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering,Krak&#x00F3;w,Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"University of Information Technology and Management,Faculty of Applied Informatics,Rzesz&#x00F3;w,Poland","institution_ids":["https://openalex.org/I4210109085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040063922"],"corresponding_institution_ids":["https://openalex.org/I4210109085","https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15593114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9919999837875366,"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/T10320","display_name":"Neural Networks and Applications","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7385860085487366},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6697829961776733},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6069139838218689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5914734601974487},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5216103792190552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5196179747581482},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45318859815597534},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.4195919930934906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4149889051914215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39731210470199585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3187066912651062},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3164140582084656}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7385860085487366},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6697829961776733},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6069139838218689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914734601974487},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5216103792190552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5196179747581482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45318859815597534},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.4195919930934906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4149889051914215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39731210470199585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3187066912651062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3164140582084656},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz52849.2023.10309770","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fuzz52849.2023.10309770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Fuzzy Systems (FUZZ)","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":21,"referenced_works":["https://openalex.org/W234194187","https://openalex.org/W1588965384","https://openalex.org/W1966153007","https://openalex.org/W1975681159","https://openalex.org/W1989037929","https://openalex.org/W2026909728","https://openalex.org/W2091380827","https://openalex.org/W2095224843","https://openalex.org/W2114362965","https://openalex.org/W2123502857","https://openalex.org/W2139106564","https://openalex.org/W2143459909","https://openalex.org/W2164274563","https://openalex.org/W2171074980","https://openalex.org/W2946504904","https://openalex.org/W3033926838","https://openalex.org/W3094602816","https://openalex.org/W4200085441","https://openalex.org/W4295768371","https://openalex.org/W6763191554","https://openalex.org/W6796456916"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W1919101720","https://openalex.org/W2314720829","https://openalex.org/W4390822878","https://openalex.org/W4385074335","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"In":[0,68],"this":[1],"study,":[2,70],"a":[3],"method":[4],"of":[5,25],"time":[6,22,43,56,86],"series":[7,23,44,57,87],"classification":[8,100],"is":[9,12,18,45,58],"considered.":[10],"Classification":[11],"performed":[13],"using":[14],"forecasting":[15,38,52,66,78],"models.":[16,79],"It":[17],"assumed":[19],"that":[20],"processed":[21,84],"are":[24,74,88,101],"different":[26,32,91],"natures,":[27],"i.e.,":[28],"they":[29],"belong":[30],"to":[31,47,50,60,76,81],"classes.":[33],"Each":[34],"class":[35,62],"has":[36],"its":[37],"model.":[39,67],"Thus,":[40],"an":[41],"unknown":[42],"presented":[46],"the":[48,61,64,69,83,95],"models":[49],"evaluate":[51],"errors.":[53],"The":[54,103],"classified":[55],"assigned":[59],"with":[63],"winning":[65],"Fuzzy":[71],"Cognitive":[72],"Maps":[73],"used":[75],"build":[77],"Prior":[80],"forecasting,":[82],"raw":[85],"preprocessed.":[89],"Six":[90],"error":[92,104,111],"functions":[93,105],"having":[94],"most":[96],"significant":[97],"influence":[98],"on":[99],"used.":[102],"come":[106],"from":[107],"root":[108],"mean":[109,113],"square":[110],"and":[112],"percentage":[114],"error.":[115]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
