{"id":"https://openalex.org/W2154494472","doi":"https://doi.org/10.1109/icsmc.2009.5346143","title":"Obtaining an FOU for a word from a single subject by an individual interval approach","display_name":"Obtaining an FOU for a word from a single subject by an individual interval approach","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2154494472","doi":"https://doi.org/10.1109/icsmc.2009.5346143","mag":"2154494472"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2009.5346143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","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/A5037989653","display_name":"Jhiin Joo","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jhiin Joo","raw_affiliation_strings":["Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028699912","display_name":"Jerry M. Mendel","orcid":"https://orcid.org/0000-0001-6377-2452"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerry M. Mendel","raw_affiliation_strings":["Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3589,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85767473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"274","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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":0.998199999332428,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.711764395236969},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5784263014793396},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5754419565200806},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5400633811950684},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.507297933101654},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47645285725593567},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4539910554885864},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44583913683891296},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4447084367275238},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4436957538127899},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4178677797317505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40251344442367554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3759729266166687},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11742556095123291}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.711764395236969},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5784263014793396},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5754419565200806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5400633811950684},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.507297933101654},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47645285725593567},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4539910554885864},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44583913683891296},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4447084367275238},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4436957538127899},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4178677797317505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40251344442367554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3759729266166687},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11742556095123291},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2009.5346143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2009.5346143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1524157153","https://openalex.org/W1787190784","https://openalex.org/W2020694587","https://openalex.org/W2037940305","https://openalex.org/W2057794837","https://openalex.org/W2112189957","https://openalex.org/W2119388152","https://openalex.org/W2138241734","https://openalex.org/W2157423656","https://openalex.org/W2163982943","https://openalex.org/W2165094119"],"related_works":["https://openalex.org/W2364252372","https://openalex.org/W4234066492","https://openalex.org/W1998063895","https://openalex.org/W1967044713","https://openalex.org/W2133470120","https://openalex.org/W1994286895","https://openalex.org/W2747625183","https://openalex.org/W2080622457","https://openalex.org/W1970592395","https://openalex.org/W2378393413"],"abstract_inverted_index":{"Recently":[0],"a":[1,29,39,49,60,93],"simple":[2],"and":[3,66,83,119,161],"practical":[4],"type-2-fuzzistics":[5],"methodology":[6],"called":[7,68],"an":[8,64,69,90,116],"interval":[9,16],"approach":[10,137],"(IA)":[11],"was":[12],"presented":[13,76],"for":[14,23,77,133],"obtaining":[15],"type-2":[17],"fuzzy":[18],"set":[19],"(IT2":[20],"FS)":[21],"models":[22,55],"words":[24,57],"using":[25,63,124],"data":[26,85],"collected":[27,58,88],"from":[28,56,59,89],"group":[30,40],"of":[31,41,115,130,144],"subjects.":[32],"There":[33],"may":[34],"be":[35],"times,":[36],"however,":[37],"when":[38],"subjects":[42],"is":[43,67,157],"not":[44,138],"available.":[45],"This":[46,136],"paper":[47],"proposes":[48],"way":[50],"to":[51,126,159],"obtain":[52,127],"IT2":[53,117],"FS":[54],"single":[61],"subject":[62],"IA,":[65],"individual":[70],"IA":[71,148],"(IIA).":[72],"Two":[73],"methods":[74],"are":[75,87],"doing":[78],"this.":[79],"Both":[80],"use":[81],"end-point":[82],"uncertainty":[84,131],"that":[86,154],"individual,":[91],"assume":[92],"probability":[94],"distribution":[95],"on":[96],"each":[97],"interval,":[98],"map":[99],"them":[100],"into":[101],"pre-specified":[102],"T1":[103,113],"membership":[104],"functions":[105],"(MF),":[106],"interpret":[107],"the":[108,122,128,134,141,145,155,162],"MFs":[109],"as":[110],"nine":[111],"embedded":[112],"FSs":[114,123],"FS,":[118],"then":[120],"aggregate":[121],"union":[125],"footprint":[129],"(FOU)":[132],"word.":[135],"only":[139],"captures":[140],"strong":[142],"points":[143],"previously":[146],"developed":[147],"but":[149],"simplifies":[150],"it.":[151],"Experiments":[152],"show":[153],"IIA":[156],"easy":[158],"implement":[160],"resulting":[163],"FOUs":[164],"match":[165],"our":[166],"intuition.":[167]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}