{"id":"https://openalex.org/W1986819040","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891776","title":"Universal fuzzy clustering model","display_name":"Universal fuzzy clustering model","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1986819040","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891776","mag":"1986819040"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5046294812","display_name":"Mika Sato\u2010Ilic","orcid":"https://orcid.org/0000-0003-1266-1853"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mika Sato-Ilic","raw_affiliation_strings":["the Faculty of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","Faculty of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"the Faculty of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Faculty of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046294812"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.409,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72676738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"2071","last_page":"2078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9890999794006348,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9890999794006348,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9803000092506409,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6748148202896118},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5824989080429077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5716071128845215},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5417294502258301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5339210033416748},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4972377121448517},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4859546422958374},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4765794277191162},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.47009679675102234},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4647343158721924},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4584774971008301},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.43865087628364563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41641953587532043},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3724064528942108},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3723612129688263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35659152269363403},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.19011318683624268}],"concepts":[{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6748148202896118},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5824989080429077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5716071128845215},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5417294502258301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5339210033416748},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4972377121448517},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4859546422958374},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4765794277191162},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.47009679675102234},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4647343158721924},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4584774971008301},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.43865087628364563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41641953587532043},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3724064528942108},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3723612129688263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35659152269363403},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.19011318683624268},{"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":20,"referenced_works":["https://openalex.org/W51563667","https://openalex.org/W1485625483","https://openalex.org/W1510073064","https://openalex.org/W1535837486","https://openalex.org/W1991767773","https://openalex.org/W2022835152","https://openalex.org/W2034970813","https://openalex.org/W2071374228","https://openalex.org/W2098855318","https://openalex.org/W2109166628","https://openalex.org/W2113076747","https://openalex.org/W2139001669","https://openalex.org/W2167196972","https://openalex.org/W2188697255","https://openalex.org/W2258123672","https://openalex.org/W2289478401","https://openalex.org/W2578456536","https://openalex.org/W4285719527","https://openalex.org/W6686846132","https://openalex.org/W6692091458"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1485268022","https://openalex.org/W85606319","https://openalex.org/W2331106272","https://openalex.org/W1975005191","https://openalex.org/W1952396636","https://openalex.org/W173448675","https://openalex.org/W1542808721"],"abstract_inverted_index":{"A":[0],"universal":[1,178],"fuzzy":[2,34,43,62,87,116,135,173,179],"clustering":[3,35,44,180],"model":[4,36,140,181],"is":[5,48,69,94],"proposed":[6],"in":[7,165,188],"order":[8,189],"to":[9,11,60,85,114,133,144,190,192],"adapt":[10,120],"the":[12,20,23,26,41,46,75,90,121,145,148,193,196],"variability":[13,27,146,194],"of":[14,22,25,28,53,55,58,74,78,80,83,104,107,109,112,123,126,128,131,147,195],"a":[15,29,32,56,81,95,110,129,156,161,166,177],"similarity":[16,30,47,150,198],"data":[17,151,199],"structure.":[18,152,200],"For":[19],"purpose":[21],"consideration":[24],"data,":[31],"nonlinear":[33,42],"has":[37],"been":[38],"proposed.":[39],"In":[40],"model,":[45],"represented":[49],"by":[50,171],"common":[51,76,105,124],"degree":[52,77,106,125],"membership":[54,79,108,127],"pair":[57,82,111,130],"objects":[59,84,113,132],"\"each\"":[61,86,115],"cluster":[63],"and":[64,98,175],"an":[65],"ordinary":[66,91],"aggregation":[67,92,158,163,186],"operator":[68,93,97,159,164,187],"used":[70],"for":[71,102],"adjusting":[72],"variety":[73,103,122],"cluster.":[88],"However,":[89],"binary":[96],"can":[99],"only":[100],"adjust":[101,143,191],"cluster,":[117],"it":[118],"cannot":[119,141],"\"all\"":[134,172],"clusters.":[136],"That":[137],"is,":[138],"this":[139,184],"satisfactorily":[142],"obtained":[149,197],"Therefore,":[153],"we":[154],"define":[155],"new":[157],"called":[160],"generalized":[162,185],"linear":[167],"product":[168],"space":[169],"spanned":[170],"clusters":[174],"propose":[176],"based":[182],"on":[183]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}