{"id":"https://openalex.org/W3190505305","doi":"https://doi.org/10.1109/fuzz45933.2021.9494477","title":"Integrating Interval Type-2 Fuzzy Sets into Deep Embedding Clustering to Cope with Uncertainty","display_name":"Integrating Interval Type-2 Fuzzy Sets into Deep Embedding Clustering to Cope with Uncertainty","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3190505305","doi":"https://doi.org/10.1109/fuzz45933.2021.9494477","mag":"3190505305"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz45933.2021.9494477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 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/A5000626282","display_name":"Kutay B\u00f6lat","orcid":"https://orcid.org/0000-0001-6344-2568"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Kutay Bolat","raw_affiliation_strings":["Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010725194","display_name":"Tufan Kumbasar","orcid":"https://orcid.org/0000-0001-9366-0240"},"institutions":[{"id":"https://openalex.org/I48912391","display_name":"Istanbul Technical University","ror":"https://ror.org/059636586","country_code":"TR","type":"education","lineage":["https://openalex.org/I48912391"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tufan Kumbasar","raw_affiliation_strings":["Istanbul Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Istanbul Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I48912391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000626282"],"corresponding_institution_ids":["https://openalex.org/I48912391"],"apc_list":null,"apc_paid":null,"fwci":0.2795,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63618088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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":0.9991999864578247,"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/T10057","display_name":"Face and Expression Recognition","score":0.9947999715805054,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9843999743461609,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7665587663650513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6574314832687378},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5903687477111816},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5514737367630005},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5472258925437927},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.487037718296051},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.48107361793518066},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.48098456859588623},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4493657350540161},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4341098666191101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42104658484458923},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4119333028793335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3453689515590668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21189609169960022}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7665587663650513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6574314832687378},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5903687477111816},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5514737367630005},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5472258925437927},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.487037718296051},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.48107361793518066},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.48098456859588623},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4493657350540161},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4341098666191101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42104658484458923},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4119333028793335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3453689515590668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21189609169960022},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz45933.2021.9494477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz45933.2021.9494477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:polen.itu.edu.tr:11527/41474","is_oa":false,"landing_page_url":"https://hdl.handle.net/11527/41474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400460","display_name":"Istanbul Technical University Academic Open Archive (Istanbul Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48912391","host_organization_name":"Istanbul Technical University","host_organization_lineage":["https://openalex.org/I48912391"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W1989907351","https://openalex.org/W1995450389","https://openalex.org/W2025542264","https://openalex.org/W2041775680","https://openalex.org/W2058063871","https://openalex.org/W2103535990","https://openalex.org/W2116516955","https://openalex.org/W2160197181","https://openalex.org/W2163922914","https://openalex.org/W2187089797","https://openalex.org/W2565516711","https://openalex.org/W2740924709","https://openalex.org/W2741943936","https://openalex.org/W2956698489","https://openalex.org/W2964074409","https://openalex.org/W2979310190","https://openalex.org/W2990499011","https://openalex.org/W2994838458","https://openalex.org/W2999246302","https://openalex.org/W3047155262","https://openalex.org/W3082139201","https://openalex.org/W3127315342","https://openalex.org/W3135685413","https://openalex.org/W3204721342","https://openalex.org/W4254931243","https://openalex.org/W6607775107","https://openalex.org/W6685380521","https://openalex.org/W6790064514","https://openalex.org/W6791392191"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"Working":[0],"with":[1,35,44,62,68,151],"unlabeled":[2],"data":[3,12,43],"carries":[4],"the":[5,11,36,58,78,81,87,90,112,115,118,132,152],"burden":[6],"of":[7,57,80,89,117],"uncertainties":[8,37,153],"especially":[9],"when":[10],"are":[13,75,121,136],"high-dimensional.":[14],"Clustering":[15,95],"is":[16,60,97,105,156],"not":[17],"an":[18],"exception":[19],"in":[20,83,123],"this":[21,29],"aspect":[22],"and":[23,51,114],"it":[24],"requires":[25],"special":[26],"treatment.":[27],"In":[28],"study,":[30],"we":[31],"propose":[32],"to":[33,158],"cope":[34],"which":[38],"occur":[39],"during":[40],"clustering":[41,103],"high-dimensional":[42],"Interval":[45,69],"Type-2":[46],"(IT2)":[47],"Fuzzy":[48],"Sets":[49],"(FSs)":[50],"Deep":[52,93],"Learning":[53],"(DL)":[54],"methods.":[55],"Generation":[56],"IT2-FSs":[59,135,155],"done":[61],"different":[63],"cluster":[64,84],"similarity":[65],"functions":[66],"parameterized":[67],"Valued":[70],"Parameters":[71],"(IVPs).":[72],"These":[73],"parameters":[74],"introduced":[76],"as":[77],"representations":[79],"uncertainty":[82],"assignments.":[85],"As":[86],"backbone":[88],"proposed":[91,119],"method,":[92],"Embedding":[94],"(DEC)":[96],"employed.":[98],"The":[99,144],"resulting":[100],"IT2":[101],"fuzzy":[102],"inference":[104,113],"integrated":[106],"into":[107],"DEC":[108],"so":[109],"that":[110,149],"both":[111],"training":[116],"model":[120],"operational":[122],"popular":[124],"DL":[125],"frameworks.":[126],"Therefore,":[127],"for":[128],"a":[129],"straightforward":[130],"deployment,":[131],"constraints":[133],"on":[134],"redefined":[137],"by":[138],"introducing":[139],"parameterization":[140],"tricks":[141],"upon":[142],"IVPs.":[143],"presented":[145],"comparative":[146],"results":[147],"indicate":[148],"coping":[150],"through":[154],"superior":[157],"their":[159],"baseline":[160],"type-1":[161],"counterparts.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}