{"id":"https://openalex.org/W2103666359","doi":"https://doi.org/10.1109/tkde.2003.1262181","title":"Case generation using rough sets with fuzzy representation","display_name":"Case generation using rough sets with fuzzy representation","publication_year":2004,"publication_date":"2004-02-24","ids":{"openalex":"https://openalex.org/W2103666359","doi":"https://doi.org/10.1109/tkde.2003.1262181","mag":"2103666359"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2003.1262181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2003.1262181","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-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/A5037803714","display_name":"Sankar K. Pal","orcid":"https://orcid.org/0000-0003-3301-4751"},"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":"S.K. Pal","raw_affiliation_strings":["Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","Machine Intelligent Unit, Indian Stat. Inst., Calcutta, India"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Machine Intelligent Unit, Indian Stat. Inst., Calcutta, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032809289","display_name":"Pabitra Mitra","orcid":"https://orcid.org/0000-0002-1908-9813"},"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":false,"raw_author_name":"P. Mitra","raw_affiliation_strings":["Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","Machine Intelligent Unit, Indian Stat. Inst., Calcutta, India"],"affiliations":[{"raw_affiliation_string":"Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Machine Intelligent Unit, Indian Stat. Inst., Calcutta, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037803714"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":13.4714,"has_fulltext":false,"cited_by_count":200,"citation_normalized_percentile":{"value":0.9921896,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"3","first_page":"292","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.98089998960495,"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-set","display_name":"Fuzzy set","score":0.6609759330749512},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6180814504623413},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5973241925239563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5926007628440857},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.581797182559967},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5180490016937256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5037032961845398},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5020084381103516},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45225170254707336},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4478321671485901},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.42457228899002075},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4231221079826355},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4218730032444},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.41974806785583496},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4127296209335327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4014902710914612}],"concepts":[{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6609759330749512},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6180814504623413},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5973241925239563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5926007628440857},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.581797182559967},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5180490016937256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5037032961845398},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5020084381103516},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45225170254707336},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4478321671485901},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.42457228899002075},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4231221079826355},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4218730032444},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.41974806785583496},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4127296209335327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4014902710914612},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2003.1262181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2003.1262181","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.104.6962","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.6962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.facweb.iitkgp.ernet.in/~pabitra/paper/tkde04_cbr.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W51251913","https://openalex.org/W120161273","https://openalex.org/W1495051301","https://openalex.org/W1500151553","https://openalex.org/W1553701556","https://openalex.org/W1557923305","https://openalex.org/W1565774589","https://openalex.org/W1575611982","https://openalex.org/W1586066135","https://openalex.org/W2041280856","https://openalex.org/W2052544013","https://openalex.org/W2065186097","https://openalex.org/W2067098334","https://openalex.org/W2083306157","https://openalex.org/W2084812512","https://openalex.org/W2095727900","https://openalex.org/W2097151127","https://openalex.org/W2122496402","https://openalex.org/W2131772950","https://openalex.org/W2137554456","https://openalex.org/W2142488185","https://openalex.org/W2147169507","https://openalex.org/W2153676086","https://openalex.org/W2234239303","https://openalex.org/W4244238212","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W2253053392","https://openalex.org/W2331106272","https://openalex.org/W2674573885","https://openalex.org/W2781808531","https://openalex.org/W1486684451","https://openalex.org/W3207735076","https://openalex.org/W1975005191","https://openalex.org/W4361984403","https://openalex.org/W3113298393"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,21,69,97],"rough-fuzzy":[3],"hybridization":[4],"scheme":[5],"for":[6,14,108],"case":[7,80,95,124,140],"generation.":[8],"Fuzzy":[9],"set":[10,29],"theory":[11,30],"is":[12,31,66,145],"used":[13,32],"linguistic":[15],"representation":[16],"of":[17,24,100,131,136],"patterns,":[18],"thereby":[19],"producing":[20],"fuzzy":[22,47],"granulation":[23],"the":[25,42,52,61,78,83,105,132],"feature":[26,44],"space.":[27,45],"Rough":[28],"to":[33,51,119],"obtain":[34],"dependency":[35],"rules":[36],"which":[37],"model":[38],"informative":[39,53],"regions":[40,54],"in":[41,114,123,134],"granulated":[43],"The":[46],"membership":[48,75],"functions":[49],"corresponding":[50],"are":[55,86],"stored":[56],"as":[57,126,128],"cases":[58,84],"along":[59],"with":[60],"strength":[62],"values.":[63],"Case":[64],"retrieval":[65,143],"made":[67],"using":[68],"similarity":[70],"measure":[71],"based":[72],"on":[73,147],"these":[74],"functions.":[76],"Unlike":[77],"existing":[79],"selection":[81],"methods,":[82],"here":[85],"cluster":[87],"granules":[88],"and":[89,116,139,142],"not":[90],"sample":[91],"points.":[92],"Also,":[93],"each":[94],"involves":[96],"reduced":[98],"number":[99],"relevant":[101],"features.":[102],"These":[103],"makes":[104],"algorithm":[106,133],"suitable":[107],"mining":[109],"data":[110,150],"sets,":[111],"large":[112],"both":[113],"dimension":[115],"size,":[117],"due":[118],"its":[120],"low-time":[121],"requirement":[122],"generation":[125,141],"well":[127],"retrieval.":[129],"Superiority":[130],"terms":[135],"classification":[137],"accuracy":[138],"times":[144],"demonstrated":[146],"some":[148],"real-life":[149],"sets.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":21}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}