{"id":"https://openalex.org/W2101392146","doi":"https://doi.org/10.1109/fuzzy.2010.5584881","title":"A comprehensive comparison of time series described by linguistic summaries and its application to the comparison of performance of a mutual fund and its benchmark","display_name":"A comprehensive comparison of time series described by linguistic summaries and its application to the comparison of performance of a mutual fund and its benchmark","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2101392146","doi":"https://doi.org/10.1109/fuzzy.2010.5584881","mag":"2101392146"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5005837856","display_name":"Janusz Kacprzyk","orcid":"https://orcid.org/0000-0003-4187-5877"},"institutions":[{"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/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"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Janusz Kacprzyk","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","Systems Research Institute, Polish Academy of Sciences, Ul. Newelska 6, 01-447 Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Ul. Newelska 6, 01-447 Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011946737","display_name":"Anna Wilbik","orcid":"https://orcid.org/0000-0002-1989-0301"},"institutions":[{"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/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"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Anna Wilbik","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","Systems Research Institute, Polish Academy of Sciences, Ul. Newelska 6, 01-447 Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Ul. Newelska 6, 01-447 Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005837856"],"corresponding_institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"],"apc_list":null,"apc_paid":null,"fwci":1.6857,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84645312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9990000128746033,"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":0.9990000128746033,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8530775308609009},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7391279339790344},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6451524496078491},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5986635088920593},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5524232387542725},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5215718150138855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4520341455936432},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45100346207618713},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.43378305435180664},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.4152508080005646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.345603346824646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3399474620819092},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.084564208984375}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8530775308609009},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7391279339790344},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6451524496078491},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5986635088920593},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5524232387542725},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5215718150138855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4520341455936432},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45100346207618713},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.43378305435180664},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4152508080005646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.345603346824646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3399474620819092},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.084564208984375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/1ab38d41-44aa-4713-8ec6-554686249bfd","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/1ab38d41-44aa-4713-8ec6-554686249bfd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"STARTPAGE=1;ENDPAGE=8;TITLE=None","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W996183064","https://openalex.org/W1497972539","https://openalex.org/W1499049447","https://openalex.org/W1502867372","https://openalex.org/W1513731586","https://openalex.org/W1514224985","https://openalex.org/W1536270760","https://openalex.org/W1566005889","https://openalex.org/W1588092068","https://openalex.org/W1677206682","https://openalex.org/W1785021972","https://openalex.org/W1998762983","https://openalex.org/W2001167365","https://openalex.org/W2005836461","https://openalex.org/W2006761268","https://openalex.org/W2028991375","https://openalex.org/W2031391868","https://openalex.org/W2041650430","https://openalex.org/W2042591571","https://openalex.org/W2080271742","https://openalex.org/W2091921805","https://openalex.org/W2107633943","https://openalex.org/W2109863804","https://openalex.org/W2119566855","https://openalex.org/W2129503473","https://openalex.org/W2130218802","https://openalex.org/W2138031581","https://openalex.org/W2141149987","https://openalex.org/W2142829162","https://openalex.org/W2143630575","https://openalex.org/W2153676086","https://openalex.org/W2155413769","https://openalex.org/W2158834263","https://openalex.org/W2163336863","https://openalex.org/W2483430316","https://openalex.org/W2484486202","https://openalex.org/W2500340515","https://openalex.org/W2544536995","https://openalex.org/W4240769157","https://openalex.org/W6625998911","https://openalex.org/W6661122342","https://openalex.org/W6679369631","https://openalex.org/W6680920653","https://openalex.org/W6682874067","https://openalex.org/W6683342825","https://openalex.org/W7048539581","https://openalex.org/W7067338535"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W4399363378"],"abstract_inverted_index":{"We":[0,14,51,137],"present":[1],"a":[2,53,89,106,116,133],"new":[3,54,107,168],"approach":[4,108],"to":[5,95,98,112],"the":[6,9,21,27,60,63,71,99,113,123,126,142,147,153,158,167,183],"evaluation":[7],"of":[8,11,23,26,30,62,70,91,115,118,125,135,144,146,150,155,160],"similarity":[10],"time":[12,151],"series.":[13],"consider,":[15],"as":[16,141],"in":[17,182],"our":[18,86],"previous":[19],"works,":[20],"case":[22],"linguistic":[24,78,93,119,148],"summarization":[25],"past":[28,83],"performance":[29,145],"an":[31,44],"investment":[32,48,187],"(mutual)":[33],"fund":[34,72,127],"and":[35,46,73,128,157,175,178],"its":[36,74,129],"underlying":[37],"benchmark":[38,75],"which":[39],"is":[40,171],"very":[41,172],"important":[42],"for":[43,102],"effective":[45],"efficient":[47],"decision":[49,100,188],"support.":[50],"propose":[52,105],"comparison":[55,61,114],"method":[56,87,169],"based":[57],"not":[58,131],"on":[59,77],"consecutive":[64],"values":[65],"or":[66,68],"segments":[67],"trends":[69],"but":[76],"summaries":[79,94,120,149],"best":[80,92,121],"describing":[81,122],"their":[82],"behavior.":[84],"Since":[85],"derives":[88],"number":[90],"be":[96,180],"presented":[97],"maker":[101],"consideration,":[103],"we":[104],"that":[109,166],"boils":[110],"down":[111],"set":[117],"behavior":[124],"benchmark,":[130],"just":[132],"pair":[134],"them.":[136],"take":[138],"into":[139],"account,":[140],"measures":[143],"series,":[152],"degree":[154,159],"truth":[156],"focus.":[161],"The":[162],"results":[163],"obtained":[164],"suggest":[165],"proposed":[170],"human":[173,185],"consistent":[174],"intuitively":[176],"appealing":[177],"may":[179],"relevant":[181],"heavily":[184],"centered":[186],"support":[189],"task":[190],"considered.":[191]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
