{"id":"https://openalex.org/W2167232868","doi":"https://doi.org/10.1002/int.20199","title":"Relevance in systems having a fuzzy-set-based semantics","display_name":"Relevance in systems having a fuzzy-set-based semantics","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2167232868","doi":"https://doi.org/10.1002/int.20199","mag":"2167232868"},"language":"en","primary_location":{"id":"doi:10.1002/int.20199","is_oa":false,"landing_page_url":"https://doi.org/10.1002/int.20199","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-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/A5072431554","display_name":"Ronald R. Yager","orcid":"https://orcid.org/0000-0003-2938-1858"},"institutions":[{"id":"https://openalex.org/I173466955","display_name":"Iona College","ror":"https://ror.org/00m79dm66","country_code":"US","type":"education","lineage":["https://openalex.org/I173466955"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ronald R. Yager","raw_affiliation_strings":["Machine Intelligence Institute, Iona College, New Rochelle, NY 10801"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Intelligence Institute, Iona College, New Rochelle, NY 10801","institution_ids":["https://openalex.org/I173466955"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072431554"],"corresponding_institution_ids":["https://openalex.org/I173466955"],"apc_list":{"value":2500,"currency":"USD","value_usd":2500},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1330508,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"4","first_page":"385","last_page":"396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9973000288009644,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9973000288009644,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9955999851226807,"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/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"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/relevance","display_name":"Relevance (law)","score":0.7966016530990601},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7883580923080444},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6895892024040222},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5586724281311035},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.521160364151001},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4458829462528229},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4237598180770874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3193247318267822},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1613013744354248}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7966016530990601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883580923080444},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6895892024040222},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5586724281311035},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.521160364151001},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4458829462528229},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4237598180770874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3193247318267822},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1613013744354248},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/int.20199","is_oa":false,"landing_page_url":"https://doi.org/10.1002/int.20199","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W58867887","https://openalex.org/W122815146","https://openalex.org/W182659112","https://openalex.org/W584782773","https://openalex.org/W1490891821","https://openalex.org/W1566211337","https://openalex.org/W1947957290","https://openalex.org/W1989354522","https://openalex.org/W2004737172","https://openalex.org/W2008530127","https://openalex.org/W2015752826","https://openalex.org/W2026588881","https://openalex.org/W2039387775","https://openalex.org/W2040149775","https://openalex.org/W2054469137","https://openalex.org/W2071782633","https://openalex.org/W2089115438","https://openalex.org/W2163982943","https://openalex.org/W2402164117","https://openalex.org/W3021535867","https://openalex.org/W3216570630","https://openalex.org/W4213229129","https://openalex.org/W4239148722","https://openalex.org/W4249601105","https://openalex.org/W6633996426"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2106071040","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W4248323080","https://openalex.org/W2615795876","https://openalex.org/W2049612369"],"abstract_inverted_index":{"Future":[0],"automated":[1],"question":[2],"answering":[3],"systems":[4,17,76],"will":[5],"typically":[6],"involve":[7],"the":[8,15,24,36,51,68,83,89,97],"use":[9,78],"of":[10,28,53,67,70,91,93,99],"local":[11],"knowledge":[12,21,55],"available":[13],"on":[14,35],"users'":[16],"as":[18,20],"well":[19],"retrieved":[22],"from":[23,103],"Web.":[25],"The":[26],"determination":[27],"what":[29,54],"information":[30,102],"we":[31,60],"should":[32],"seek":[33],"out":[34],"Web":[37],"must":[38],"be":[39],"directed":[40],"by":[41],"its":[42],"potential":[43],"value":[44],"or":[45],"relevance":[46,71],"to":[47,62,81,95],"our":[48],"objective":[49],"in":[50],"light":[52],"is":[56],"already":[57],"available.":[58],"Here":[59],"begin":[61],"provide":[63,82],"a":[64],"formal":[65],"quantification":[66],"concept":[69],"and":[72],"related":[73],"ideas":[74],"for":[75],"that":[77],"fuzzy-set-based":[79],"representations":[80],"underlying":[84],"semantics.":[85],"We":[86],"also":[87],"introduce":[88],"idea":[90],"ease":[92],"extraction":[94],"quantify":[96],"ability":[98],"extracting":[100],"relevant":[101],"complex":[104],"relationships.":[105],"\u00a9":[106],"2007":[107],"Wiley":[108],"Periodicals,":[109],"Inc.":[110],"Int":[111,113],"J":[112],"Syst":[114],"22:":[115],"385\u2013396,":[116],"2007.":[117]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}