{"id":"https://openalex.org/W4295767878","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882873","title":"Controlling Membership Spread in Type-2 Fuzzy Clustering","display_name":"Controlling Membership Spread in Type-2 Fuzzy Clustering","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295767878","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882873"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882873","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5057972238","display_name":"Watchanan Chantapakul","orcid":"https://orcid.org/0000-0001-7420-1161"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Watchanan Chantapakul","raw_affiliation_strings":["University of Missouri,Department of Electrical and Computer Engineering,Columbia,MO,USA","Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Electrical and Computer Engineering,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018303984","display_name":"James M. Keller","orcid":"https://orcid.org/0000-0002-0306-7142"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James M. Keller","raw_affiliation_strings":["University of Missouri,Department of Electrical and Computer Engineering,Columbia,MO,USA","Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Electrical and Computer Engineering,Columbia,MO,USA","institution_ids":["https://openalex.org/I76835614"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084209719","display_name":"Sansanee Auephanwiriyakul","orcid":"https://orcid.org/0000-0002-6639-7165"},"institutions":[{"id":"https://openalex.org/I48076826","display_name":"Chiang Mai University","ror":"https://ror.org/05m2fqn25","country_code":"TH","type":"education","lineage":["https://openalex.org/I48076826"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Sansanee Auephanwiriyakul","raw_affiliation_strings":["Chiang Mai University,Department of Computer Engineering,Chiang Mai,Thailand","Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand"],"affiliations":[{"raw_affiliation_string":"Chiang Mai University,Department of Computer Engineering,Chiang Mai,Thailand","institution_ids":["https://openalex.org/I48076826"]},{"raw_affiliation_string":"Department of Computer Engineering, Chiang Mai University, Chiang Mai, Thailand","institution_ids":["https://openalex.org/I48076826"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057972238"],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28587589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991000294685364,"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":0.9991000294685364,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9976999759674072,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.6778970956802368},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.6599401831626892},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.599185585975647},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5975023508071899},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.5946590900421143},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5515782237052917},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.5497274994850159},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5421401858329773},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.5304436087608337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48815470933914185},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4748666286468506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46328678727149963},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.45520901679992676},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4529527425765991},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4481812119483948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44379013776779175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007505178451538},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3722919225692749}],"concepts":[{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.6778970956802368},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6599401831626892},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.599185585975647},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5975023508071899},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.5946590900421143},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5515782237052917},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.5497274994850159},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5421401858329773},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.5304436087608337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48815470933914185},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4748666286468506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46328678727149963},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.45520901679992676},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4529527425765991},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4481812119483948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44379013776779175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007505178451538},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3722919225692749},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882873","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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":10,"referenced_works":["https://openalex.org/W1562304287","https://openalex.org/W1935183702","https://openalex.org/W1972751394","https://openalex.org/W2040810017","https://openalex.org/W2103535990","https://openalex.org/W2108555476","https://openalex.org/W2113076747","https://openalex.org/W2127218421","https://openalex.org/W4205471131","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2674573885","https://openalex.org/W1487720066","https://openalex.org/W2781808531","https://openalex.org/W1975005191","https://openalex.org/W4361984403","https://openalex.org/W2145270521","https://openalex.org/W2791187250","https://openalex.org/W2066929655","https://openalex.org/W2890798884","https://openalex.org/W2608292510"],"abstract_inverted_index":{"Fuzzy":[0,23],"C-means":[1,24],"(FCM)":[2],"has":[3],"been":[4],"a":[5,10,17,79,119],"prominent":[6],"clustering":[7,58],"algorithm":[8],"for":[9],"long":[11],"time.":[12],"It":[13],"was":[14],"extended":[15],"to":[16,49,72,99,163],"type-2":[18,56,65],"framework":[19],"by":[20],"the":[21,34,37,51,54,76,89,101,115,123,129,135,160],"Linguistic":[22],"(LFCM)":[25],"that":[26],"operates":[27],"on":[28,118],"vectors":[29],"of":[30,45,53,146],"fuzzy":[31,57,66],"numbers":[32],"utilizing":[33],"extension":[35],"principle,":[36],"decomposition":[38],"theorem,":[39],"and":[40,108,134,156,166],"interval":[41],"analyses.":[42],"The":[43,60],"purpose":[44],"this":[46],"paper":[47],"is":[48,70],"study":[50],"effects":[52],"iterative":[55,90],"algorithm.":[59],"LFCM":[61],"incorporates":[62],"uncertainty":[63,77,161],"through":[64],"sets,":[67],"but":[68],"it":[69],"prone":[71],"membership":[73,80,154],"spread,":[74],"i.e.,":[75],"in":[78,152,167,170],"function":[81],"can":[82],"become":[83],"too":[84],"large":[85],"or":[86],"broad":[87],"during":[88],"alternating":[91],"optimization":[92],"procedure.":[93],"We":[94,126],"devise":[95],"three":[96],"dampening":[97,110,148],"approaches":[98,149],"mitigate":[100],"problem.":[102],"Vertical":[103],"cut":[104],"dampening,":[105,107],"linear":[106],"reflection":[109],"are":[111],"defined":[112],"along":[113],"with":[114],"experiments":[116],"conducted":[117],"synthetic":[120],"dataset":[121],"named":[122],"butterfly":[124],"dataset.":[125],"also":[127],"illustrate":[128],"updated":[130],"memberships":[131],"(fuzzy":[132,139],"numbers)":[133],"resulting":[136],"cluster":[137],"prototypes":[138],"vectors)":[140],"from":[141],"visual":[142],"standpoints.":[143],"Applying":[144],"any":[145],"these":[147],"will":[150],"result":[151],"thinner":[153],"functions":[155],"helps":[157],"us":[158],"control":[159],"not":[162],"grow":[164],"rapidly,":[165],"fact,":[168],"aid":[169],"convergence.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
