{"id":"https://openalex.org/W2961073364","doi":"https://doi.org/10.1109/tcyb.2019.2925130","title":"Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm","display_name":"Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm","publication_year":2019,"publication_date":"2019-07-16","ids":{"openalex":"https://openalex.org/W2961073364","doi":"https://doi.org/10.1109/tcyb.2019.2925130","mag":"2961073364","pmid":"https://pubmed.ncbi.nlm.nih.gov/31329144"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2925130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2925130","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5001103573","display_name":"Pradipta Maji","orcid":"https://orcid.org/0000-0002-8288-8917"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pradipta Maji","raw_affiliation_strings":["Biomedical Imaging and Bioinformatics Lab, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Biomedical Imaging and Bioinformatics Lab, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069298800","display_name":"Partha Garai","orcid":"https://orcid.org/0000-0002-7580-5896"},"institutions":[{"id":"https://openalex.org/I77501641","display_name":"University of Kalyani","ror":"https://ror.org/03v783k16","country_code":"IN","type":"education","lineage":["https://openalex.org/I77501641"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Garai","raw_affiliation_strings":["Department of Computer Application, Kalyani Government Engineering College, Kalyani, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Application, Kalyani Government Engineering College, Kalyani, India","institution_ids":["https://openalex.org/I77501641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001103573"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":1.1201,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83684282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"51","issue":"7","first_page":"3641","last_page":"3652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9969000220298767,"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":0.9969000220298767,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.991599977016449,"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":0.5803042054176331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5423669219017029},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5337807536125183},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5017175674438477},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.499971866607666},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4864175319671631},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.48167502880096436},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48165786266326904},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.44850268959999084},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4229829013347626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38045454025268555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36974722146987915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33001095056533813},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.06577920913696289}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5803042054176331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5423669219017029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5337807536125183},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5017175674438477},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.499971866607666},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4864175319671631},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.48167502880096436},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48165786266326904},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.44850268959999084},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4229829013347626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38045454025268555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36974722146987915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33001095056533813},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.06577920913696289},{"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/tcyb.2019.2925130","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2925130","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:31329144","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31329144","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W564030374","https://openalex.org/W1557923305","https://openalex.org/W1647100323","https://openalex.org/W1935183702","https://openalex.org/W1976670813","https://openalex.org/W1983658296","https://openalex.org/W1987149779","https://openalex.org/W1990368529","https://openalex.org/W2008185823","https://openalex.org/W2011923546","https://openalex.org/W2027006788","https://openalex.org/W2050159152","https://openalex.org/W2053211464","https://openalex.org/W2063135700","https://openalex.org/W2085094604","https://openalex.org/W2092044939","https://openalex.org/W2096393821","https://openalex.org/W2098093602","https://openalex.org/W2103535990","https://openalex.org/W2111239149","https://openalex.org/W2112684403","https://openalex.org/W2113076747","https://openalex.org/W2113535566","https://openalex.org/W2120688485","https://openalex.org/W2141178894","https://openalex.org/W2147708960","https://openalex.org/W2151064980","https://openalex.org/W2153098502","https://openalex.org/W2153166477","https://openalex.org/W2157041604","https://openalex.org/W2159239469","https://openalex.org/W2162706466","https://openalex.org/W2167428023","https://openalex.org/W2168523997","https://openalex.org/W2170341854","https://openalex.org/W2203649114","https://openalex.org/W2239853243","https://openalex.org/W2250169424","https://openalex.org/W2891005478","https://openalex.org/W2912993152","https://openalex.org/W2913642042","https://openalex.org/W4245152641","https://openalex.org/W4249333633","https://openalex.org/W6671513037"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W1964260090","https://openalex.org/W2353240132","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W2018750854","https://openalex.org/W4386330225"],"abstract_inverted_index":{"One":[0],"of":[1,45,69,75,85,110,117,121,134,144,152,162],"the":[2,43,46,60,67,79,104,115,118,131,135,153,185],"important":[3],"issues":[4],"in":[5,18,190,200],"pattern":[6],"recognition":[7],"and":[8,53,82,171],"machine":[9],"learning":[10],"is":[11,100,123,147,157],"how":[12],"to":[13,58,102,195],"find":[14],"natural":[15],"groups":[16],"present":[17],"a":[19,27,124,141],"dataset.":[20],"In":[21],"this":[22,24],"regard,":[23],"paper":[25],"presents":[26],"novel":[28],"clustering":[29,112,165],"algorithm,":[30,52,138],"called":[31],"rough":[32,47,76],"hypercuboid-based":[33],"interval":[34,54],"type-2":[35,55],"fuzzy":[36,56],"c":[37,50,187],"-means":[38,51,188],"(RIT2FCM).":[39],"It":[40],"judiciously":[41],"integrates":[42],"merits":[44],"hypercuboid":[48,70,77],"approach,":[49,78],"set,":[57],"address":[59,103],"uncertainty":[61,105],"associated":[62],"with":[63,107,140,160,193],"real-life":[64,177],"datasets.":[65,178],"Using":[66],"concept":[68],"equivalence":[71],"partition":[72],"matrix":[73],"(HEM)":[74],"lower":[80],"approximation":[81],"boundary":[83],"region":[84],"each":[86],"cluster":[87,169,197],"are":[88],"implicitly":[89],"defined,":[90],"without":[91],"using":[92,167],"any":[93],"prespecified":[94],"threshold":[95],"parameter.":[96],"The":[97,150,179],"interval-valued":[98],"fuzzifier":[99,122],"applied":[101],"coupled":[106],"different":[108,196],"parameters":[109],"rough-fuzzy":[111],"algorithms,":[113,166],"where":[114],"determination":[116],"appropriate":[119],"value":[120],"difficult":[125],"task.":[126],"An":[127],"analytical":[128],"formulation":[129],"on":[130,175],"convergence":[132],"analysis":[133],"proposed":[136,154,180],"RIT2FCM":[137,155],"along":[139],"theoretical":[142],"bound":[143],"its":[145],"fuzzifier,":[146],"also":[148],"introduced.":[149],"efficacy":[151],"method":[156],"extensively":[158],"compared":[159],"that":[161],"several":[163],"existing":[164],"some":[168],"validity":[170,198],"classification":[172],"rate":[173],"indices":[174],"various":[176],"algorithm":[181],"performs":[182],"better":[183],"than":[184],"state-of-the-art":[186],"algorithms":[189],"92.59%":[191],"cases,":[192],"respect":[194],"indices,":[199],"lesser":[201],"computation":[202],"time.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}