{"id":"https://openalex.org/W1989877036","doi":"https://doi.org/10.1109/grc.2012.6468606","title":"Uncertainty measures of covering rough sets based on knowledge granularities","display_name":"Uncertainty measures of covering rough sets based on knowledge granularities","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W1989877036","doi":"https://doi.org/10.1109/grc.2012.6468606","mag":"1989877036"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2012.6468606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","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/A5086794052","display_name":"Chengzhuan Yang","orcid":"https://orcid.org/0000-0002-6675-9074"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengzhuan Yang","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004#TAB#","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091565068","display_name":"Jiyi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyi Wang","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004#TAB#","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080993334","display_name":"Jiandang Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiandang Wu","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]},{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China, 321004#TAB#","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086794052"],"corresponding_institution_ids":["https://openalex.org/I135237710"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07449422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"591","last_page":"595"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9366999864578247,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9351999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.9108940362930298},{"id":"https://openalex.org/keywords/irrationality","display_name":"Irrationality","score":0.8215450644493103},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.613739013671875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5238696932792664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.505638837814331},{"id":"https://openalex.org/keywords/measurement-uncertainty","display_name":"Measurement uncertainty","score":0.4704122841358185},{"id":"https://openalex.org/keywords/uncertainty-analysis","display_name":"Uncertainty analysis","score":0.4614594578742981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40537795424461365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3808322548866272},{"id":"https://openalex.org/keywords/rationality","display_name":"Rationality","score":0.12064686417579651},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09721410274505615}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.9108940362930298},{"id":"https://openalex.org/C2777019708","wikidata":"https://www.wikidata.org/wiki/Q1412340","display_name":"Irrationality","level":3,"score":0.8215450644493103},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.613739013671875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5238696932792664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.505638837814331},{"id":"https://openalex.org/C137209882","wikidata":"https://www.wikidata.org/wiki/Q1403517","display_name":"Measurement uncertainty","level":2,"score":0.4704122841358185},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.4614594578742981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40537795424461365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3808322548866272},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.12064686417579651},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09721410274505615},{"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/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2012.6468606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W121243861","https://openalex.org/W1972547691","https://openalex.org/W1973556456","https://openalex.org/W2024638676","https://openalex.org/W2031978194","https://openalex.org/W2041596646","https://openalex.org/W2061636684","https://openalex.org/W2098206081","https://openalex.org/W2150227999","https://openalex.org/W2354512175","https://openalex.org/W2363668631","https://openalex.org/W2382278777","https://openalex.org/W2387191567","https://openalex.org/W2389242052","https://openalex.org/W2390491203","https://openalex.org/W2393744875","https://openalex.org/W4255530833","https://openalex.org/W6675146924","https://openalex.org/W7014968510","https://openalex.org/W7024396413"],"related_works":["https://openalex.org/W2352037289","https://openalex.org/W4366603836","https://openalex.org/W3130844878","https://openalex.org/W3212153563","https://openalex.org/W4312671192","https://openalex.org/W2387053421","https://openalex.org/W4205181462","https://openalex.org/W3139964550","https://openalex.org/W2376953431","https://openalex.org/W2949799777"],"abstract_inverted_index":{"This":[0],"paper":[1],"has":[2,60],"analyzed":[3],"the":[4,63,68,81],"existent":[5],"measures":[6],"of":[7,29,46,70,83],"uncertainty":[8,44,64,82],"based":[9,33,50],"on":[10,34,51],"covering":[11,35,47,84],"rough":[12,36,48,85],"sets.":[13,86],"It":[14],"is":[15,38],"revealed":[16],"that":[17,62],"they":[18],"all":[19],"bear":[20],"some":[21],"irrationality":[22,69],"under":[23],"specified":[24],"situations.":[25],"Here":[26],"a":[27,76],"concept":[28],"relative":[30],"knowledge":[31,52],"granularities":[32,53],"sets":[37,49],"defined.":[39],"And":[40],"we":[41],"propose":[42],"an":[43],"measure":[45],"and":[54],"prove":[55],"its":[56],"relevant":[57],"properties.":[58],"Analysis":[59],"proven":[61],"measuring":[65,80],"approach":[66],"overcomes":[67],"former":[71],"approaches,":[72],"so":[73],"it":[74],"provides":[75],"new":[77],"method":[78],"for":[79]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}