{"id":"https://openalex.org/W3082835862","doi":"https://doi.org/10.1109/fuzz48607.2020.9177556","title":"Fuzzy Analytical Queries: A New Approach to Flexible Fuzzy Queries","display_name":"Fuzzy Analytical Queries: A New Approach to Flexible Fuzzy Queries","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3082835862","doi":"https://doi.org/10.1109/fuzz48607.2020.9177556","mag":"3082835862"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz48607.2020.9177556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5006992777","display_name":"S\u0142awomir Zadro\u017cny","orcid":"https://orcid.org/0000-0002-6642-0927"},"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":"Slawomir Zadrozny","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, 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"]}]},{"author_position":"last","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":false,"raw_author_name":"Janusz Kacprzyk","raw_affiliation_strings":["Systems Research Institute, Polish Academy of Sciences, 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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006992777"],"corresponding_institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"],"apc_list":null,"apc_paid":null,"fwci":0.9092,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74272548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/sql","display_name":"SQL","score":0.8054324388504028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7735875844955444},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5490135550498962},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5299839973449707},{"id":"https://openalex.org/keywords/data-definition-language","display_name":"Data definition language","score":0.4992504119873047},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.45512813329696655},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44352155923843384},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.4128761887550354},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3950633108615875},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34107887744903564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33371779322624207},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3005242347717285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.182940274477005}],"concepts":[{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.8054324388504028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735875844955444},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5490135550498962},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5299839973449707},{"id":"https://openalex.org/C55596503","wikidata":"https://www.wikidata.org/wiki/Q1431648","display_name":"Data definition language","level":3,"score":0.4992504119873047},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45512813329696655},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44352155923843384},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.4128761887550354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3950633108615875},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34107887744903564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33371779322624207},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3005242347717285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.182940274477005},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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/fuzz48607.2020.9177556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz48607.2020.9177556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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":37,"referenced_works":["https://openalex.org/W34322897","https://openalex.org/W59761017","https://openalex.org/W127180378","https://openalex.org/W246487436","https://openalex.org/W879764102","https://openalex.org/W1493381506","https://openalex.org/W1521108275","https://openalex.org/W1575623867","https://openalex.org/W1711036211","https://openalex.org/W1964644505","https://openalex.org/W1967596639","https://openalex.org/W1980080444","https://openalex.org/W1997793673","https://openalex.org/W2013868015","https://openalex.org/W2045249520","https://openalex.org/W2050931451","https://openalex.org/W2060907774","https://openalex.org/W2074836925","https://openalex.org/W2077678665","https://openalex.org/W2080271742","https://openalex.org/W2081754091","https://openalex.org/W2083545247","https://openalex.org/W2101204711","https://openalex.org/W2105743333","https://openalex.org/W2109863804","https://openalex.org/W2113164469","https://openalex.org/W2115723288","https://openalex.org/W2123474039","https://openalex.org/W2143630575","https://openalex.org/W2157041604","https://openalex.org/W2182579222","https://openalex.org/W2407728196","https://openalex.org/W2481509064","https://openalex.org/W2482048267","https://openalex.org/W2503485006","https://openalex.org/W2808976674","https://openalex.org/W4236273176"],"related_works":["https://openalex.org/W2594847783","https://openalex.org/W2368606217","https://openalex.org/W2374743559","https://openalex.org/W2554350299","https://openalex.org/W2096082947","https://openalex.org/W279222092","https://openalex.org/W201647961","https://openalex.org/W4362681272","https://openalex.org/W1505413869","https://openalex.org/W1498264296"],"abstract_inverted_index":{"A":[0,140],"new":[1],"approach":[2],"to":[3,47,76,108,134],"the":[4,18,30,77,147,159,164],"use":[5,78,128],"of":[6,17,29,55,79,93,123,149,158,163,166],"fuzzy":[7],"terms":[8,36],"in":[9,82,96,152],"analytic":[10,80,126,167],"functions":[11,81,86,127],"which":[12],"constitute":[13],"a":[14,56,60,97,106,120],"standard":[15,124],"part":[16],"SQL":[19,31,153],"syntax":[20],"is":[21,25,146,156],"proposed.":[22],"The":[23],"motivation":[24],"that":[26],"though":[27],"extensions":[28],"queries":[32],"including":[33],"linguistic":[34,66,113,138],"(fuzzy)":[35],"have":[37,43],"been":[38,70],"widely":[39],"used":[40],"as":[41,105,154],"they":[42],"made":[44],"it":[45,136,155],"possible":[46],"better":[48],"and":[49,100,129],"more":[50,111],"directly":[51],"represent":[52],"complex":[53],"requirements":[54],"human":[57],"user":[58],"searching":[59],"relational":[61,98],"database,":[62],"notably":[63],"for":[64,89,143],"generating":[65],"summaries,":[67],"there":[68],"has":[69],"little":[71],"attention":[72],"paid":[73],"so":[74],"far":[75],"this":[83,116],"context.":[84],"Analytic":[85],"can":[87],"provide":[88],"an":[90],"attractive":[91],"way":[92],"analysing":[94],"data":[95],"database":[99],"may":[101],"be":[102],"possibly":[103],"adopted":[104],"tool":[107],"generate":[109],"even":[110],"sophisticated":[112],"summaries.":[114],"In":[115],"paper":[117],"we":[118],"study":[119],"basic":[121],"structure":[122],"(crisp)":[125],"point":[130,142],"out":[131],"some":[132],"opportunities":[133],"extend":[135],"using":[137],"terms.":[139],"starting":[141],"our":[144],"discussion":[145],"mechanism":[148],"grouping":[150],"rows":[151],"one":[157],"most":[160],"important":[161],"components":[162],"application":[165],"functions.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}