{"id":"https://openalex.org/W1987654083","doi":"https://doi.org/10.1109/icmlc.2010.5581076","title":"A generalized model of covering rough sets and its application in medical diagnosis","display_name":"A generalized model of covering rough sets and its application in medical diagnosis","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1987654083","doi":"https://doi.org/10.1109/icmlc.2010.5581076","mag":"1987654083"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5581076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100380439","display_name":"Yan Li","orcid":"https://orcid.org/0000-0003-3966-8625"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["College of Science, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101681211","display_name":"Tao Feng","orcid":"https://orcid.org/0000-0003-1611-1138"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]},{"id":"https://openalex.org/I94611258","display_name":"Hebei Normal University","ror":"https://ror.org/004rbbw49","country_code":"CN","type":"education","lineage":["https://openalex.org/I94611258"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Feng","raw_affiliation_strings":["College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, China","College of Science, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Hebei Normal University, Shijiazhuang, China","institution_ids":["https://openalex.org/I94611258"]},{"raw_affiliation_string":"College of Science, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057935636","display_name":"Shaopu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-Pu Zhang","raw_affiliation_strings":["Department of Mathematics and Physics, Shijiazhuang Tiedao University, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Physics, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075302244","display_name":"Zhan-Wen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan-Wen Li","raw_affiliation_strings":["College of Science, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"177","issue":null,"first_page":"145","last_page":"150"},"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"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.935699999332428,"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/dependency","display_name":"Dependency (UML)","score":0.7687109708786011},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.7132707238197327},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6912800073623657},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6703940033912659},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6347442865371704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828717947006226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4499838352203369},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4263668656349182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41136834025382996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3599890470504761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35408294200897217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33304253220558167},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10715392231941223}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7687109708786011},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.7132707238197327},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6912800073623657},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6703940033912659},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6347442865371704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828717947006226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4499838352203369},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4263668656349182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41136834025382996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3599890470504761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35408294200897217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33304253220558167},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10715392231941223},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5581076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5581076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1557923305","https://openalex.org/W1591618909","https://openalex.org/W2023441160","https://openalex.org/W2024638676","https://openalex.org/W2036026932","https://openalex.org/W2041596646","https://openalex.org/W2045260678","https://openalex.org/W2077183117","https://openalex.org/W2082266564","https://openalex.org/W2127336911","https://openalex.org/W2149706766","https://openalex.org/W2163982943","https://openalex.org/W2340020088","https://openalex.org/W2374422861","https://openalex.org/W2519923875","https://openalex.org/W2784007560","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4230588984","https://openalex.org/W4236137412","https://openalex.org/W4255833381","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W1964260090","https://openalex.org/W2353240132","https://openalex.org/W2375932290","https://openalex.org/W1486178390","https://openalex.org/W138553499","https://openalex.org/W2167403502","https://openalex.org/W1964755555"],"abstract_inverted_index":{"In":[0],"the":[1,37,49,64,68],"covering":[2,28],"information":[3],"system":[4],"with":[5],"decision-making":[6],"(CISD),":[7],"\u03c4-lower":[8],"and":[9,15,42,59],"upper":[10],"approximation":[11],"operators":[12],"are":[13,19,61],"introduced,":[14],"some":[16],"corresponding":[17],"properties":[18],"discussed.":[20],"This":[21],"paper":[22],"also":[23],"explores":[24],"reductions":[25],"of":[26,36,39],"a":[27,33,44,54],"which":[29],"is":[30,57,72],"based":[31,47],"on":[32,48],"new":[34],"concept":[35],"degree":[38],"approximate":[40],"dependency,":[41],"proposes":[43],"reduction":[45],"algorithm":[46],"importance":[50],"degree.":[51],"After":[52],"reduction,":[53],"decision":[55,65],"tree":[56],"generated":[58],"rules":[60],"extracted":[62],"from":[63],"tree.":[66],"Finally,":[67],"above":[69],"mentioned":[70],"method":[71],"demonstrated":[73],"by":[74],"an":[75],"example":[76],"in":[77],"medical":[78],"diagnosis.":[79]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
