{"id":"https://openalex.org/W2163749527","doi":"https://doi.org/10.1109/fuzzy.2006.1681825","title":"A New Fuzzy Clustering Method with Controllable Membership Characteristics","display_name":"A New Fuzzy Clustering Method with Controllable Membership Characteristics","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2163749527","doi":"https://doi.org/10.1109/fuzzy.2006.1681825","mag":"2163749527"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2006.1681825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE 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/A5023923865","display_name":"Dian-Rong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Dian-Rong Yang","raw_affiliation_strings":["Department of Electronics Engineering, National Yunlin University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010156842","display_name":"Leu-Shing Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Leu-Shing Lan","raw_affiliation_strings":["Department of Electronics Engineering, National Yunlin University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035350518","display_name":"Shih-Hung Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I75357094","display_name":"National Yunlin University of Science and Technology","ror":"https://ror.org/04qkq2m54","country_code":"TW","type":"education","lineage":["https://openalex.org/I75357094"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Hung Liao","raw_affiliation_strings":["Department of Electronics Engineering, National Yunlin University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, National Yunlin University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I75357094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023923865"],"corresponding_institution_ids":["https://openalex.org/I75357094"],"apc_list":null,"apc_paid":null,"fwci":0.4517,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75256819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"952","last_page":"955"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994999766349792,"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":0.9994999766349792,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.7313894033432007},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6546142101287842},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5702245235443115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5367397665977478},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5321846008300781},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5311711430549622},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.49767163395881653},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4973807632923126},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4950794279575348},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.4868404269218445},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.46478745341300964},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4540444612503052},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.43253666162490845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3862205147743225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3633858561515808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3622092604637146},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.23824959993362427}],"concepts":[{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.7313894033432007},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6546142101287842},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5702245235443115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5367397665977478},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5321846008300781},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5311711430549622},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.49767163395881653},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4973807632923126},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4950794279575348},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.4868404269218445},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.46478745341300964},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4540444612503052},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.43253666162490845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3862205147743225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3633858561515808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3622092604637146},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.23824959993362427},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2006.1681825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2006.1681825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1971784203","https://openalex.org/W2108699315","https://openalex.org/W2113076747","https://openalex.org/W2116442055","https://openalex.org/W2120688485","https://openalex.org/W2133098545","https://openalex.org/W2146003024","https://openalex.org/W2148395742","https://openalex.org/W2319660501"],"related_works":["https://openalex.org/W2674573885","https://openalex.org/W1487720066","https://openalex.org/W1975005191","https://openalex.org/W2781808531","https://openalex.org/W3107001035","https://openalex.org/W4361984403","https://openalex.org/W3207735076","https://openalex.org/W1501518539","https://openalex.org/W2066929655","https://openalex.org/W2791187250"],"abstract_inverted_index":{"Clustering":[0],"is":[1,20,29,76],"an":[2,61],"unsupervised":[3],"procedure":[4],"to":[5,79,103,115],"group":[6],"objects":[7],"in":[8],"accordance":[9],"with":[10],"their":[11],"similarities.":[12],"For":[13],"non-separable":[14],"clusters,":[15],"the":[16,25,30,45,64,82,96,104,117,121],"concept":[17],"of":[18,44,53,63,70,120],"fuzziness":[19],"incorporated.":[21],"Among":[22],"other":[23],"approaches,":[24],"fuzzy":[26,33,46,73,97],"c-means":[27,47],"algorithm":[28],"most":[31],"well-known":[32],"clustering":[34,74,118],"method.":[35],"In":[36],"this":[37,71],"work,":[38],"we":[39],"present":[40],"a":[41,50],"modified":[42],"form":[43],"based":[48],"on":[49],"new":[51,72],"definition":[52],"distance":[54],"measure":[55],"which":[56],"can":[57],"be":[58],"considered":[59],"as":[60],"extension":[62],"conventional":[65],"one.":[66],"The":[67],"key":[68],"advantage":[69],"scheme":[75],"its":[77],"ability":[78],"flexibly":[80],"control":[81],"membership":[83,105],"function":[84,106],"curves.":[85],"Analytical":[86],"formulae":[87],"have":[88,108],"been":[89,110],"derived":[90],"for":[91],"both":[92],"cluster":[93],"centers":[94],"and":[95],"partition":[98],"matrix.":[99],"Parameter":[100],"effects":[101],"related":[102],"curves":[107],"also":[109],"analyzed.":[111],"Examples":[112],"are":[113],"given":[114],"demonstrate":[116],"results":[119],"newly":[122],"presented":[123],"scheme.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
