{"id":"https://openalex.org/W1996176501","doi":"https://doi.org/10.1109/fskd.2014.6980961","title":"Fuzziness of rough sets generated by a covering","display_name":"Fuzziness of rough sets generated by a covering","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1996176501","doi":"https://doi.org/10.1109/fskd.2014.6980961","mag":"1996176501"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2014.6980961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2014.6980961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5101650811","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0002-2551-7204"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Hu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing, P. R. China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101640125","display_name":"Feng Hu","orcid":"https://orcid.org/0000-0002-1434-2429"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Hu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing, P. R. China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003746498","display_name":"Hong Yu","orcid":"https://orcid.org/0000-0003-0667-8413"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Yu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts & Telecommunications, Chongqing, P. R. China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101650811"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0698696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"914","last_page":"918"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.9024493098258972},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.7670114040374756},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.6293244361877441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5771597623825073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5564330220222473},{"id":"https://openalex.org/keywords/dominance-based-rough-set-approach","display_name":"Dominance-based rough set approach","score":0.48942914605140686},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.479040265083313},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45418137311935425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45202964544296265},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43344298005104065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3660978376865387}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.9024493098258972},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7670114040374756},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6293244361877441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5771597623825073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5564330220222473},{"id":"https://openalex.org/C39105242","wikidata":"https://www.wikidata.org/wiki/Q5290286","display_name":"Dominance-based rough set approach","level":3,"score":0.48942914605140686},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.479040265083313},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45418137311935425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45202964544296265},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43344298005104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3660978376865387},{"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/fskd.2014.6980961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2014.6980961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W184448894","https://openalex.org/W1964755555","https://openalex.org/W1970498753","https://openalex.org/W1972547691","https://openalex.org/W1973556456","https://openalex.org/W1975421067","https://openalex.org/W1999612973","https://openalex.org/W2003408954","https://openalex.org/W2004320486","https://openalex.org/W2009711516","https://openalex.org/W2024638676","https://openalex.org/W2031978194","https://openalex.org/W2034998024","https://openalex.org/W2041596646","https://openalex.org/W2045260678","https://openalex.org/W2055266411","https://openalex.org/W2056979968","https://openalex.org/W2085988685","https://openalex.org/W2102877059","https://openalex.org/W2131323062","https://openalex.org/W2131437896","https://openalex.org/W2134866037","https://openalex.org/W2149509893","https://openalex.org/W2150227999","https://openalex.org/W2162364423","https://openalex.org/W2357529875","https://openalex.org/W2382278777","https://openalex.org/W2390491203","https://openalex.org/W2393744875","https://openalex.org/W2784007560","https://openalex.org/W4232753567","https://openalex.org/W4289255536","https://openalex.org/W7024396413"],"related_works":["https://openalex.org/W2352037289","https://openalex.org/W2397494716","https://openalex.org/W2042497195","https://openalex.org/W2473601878","https://openalex.org/W2123662875","https://openalex.org/W2379884433","https://openalex.org/W2087213536","https://openalex.org/W4214891796","https://openalex.org/W2978519593","https://openalex.org/W2096751418"],"abstract_inverted_index":{"Many":[0],"theories":[1],"and":[2,24,74,79],"methods":[3,23],"have":[4],"been":[5],"studied":[6],"for":[7],"the":[8,41,67,92,114],"uncertainty":[9,35,89],"measure":[10,36,90,101],"of":[11,43,60,94,99,104],"rough":[12,50,61,72],"sets":[13,73,76],"generated":[14],"by":[15,110],"a":[16,33,44,47,53,58],"covering.":[17],"This":[18],"paper":[19],"reviews":[20],"all":[21],"these":[22],"give":[25],"some":[26,80],"examples":[27],"to":[28,52,63],"illustrate":[29],"their":[30],"limitations.":[31],"Then":[32],"novel":[34],"is":[37,77,108],"developed":[38],"based":[39,49],"on":[40],"construction":[42],"mapping":[45],"from":[46],"covering":[48],"set":[51,55],"fuzzy":[54,75],"through":[56],"assigning":[57],"degree":[59],"belongingness":[62],"every":[64],"object":[65],"in":[66,102,113],"universe.":[68],"The":[69,97],"connection":[70],"between":[71],"constructed":[78],"important":[81],"properties":[82],"are":[83],"derived.":[84],"Analysis":[85],"shows":[86],"that":[87],"this":[88,100],"overcomes":[91],"limitations":[93],"previous":[95],"measures.":[96],"application":[98],"reduction":[103],"incomplete":[105],"information":[106],"systems":[107],"illustrated":[109],"an":[111],"example":[112],"end.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}