{"id":"https://openalex.org/W2244289870","doi":"https://doi.org/10.1109/fskd.2015.7382063","title":"Multigranulation with different grades rough set in ordered information system","display_name":"Multigranulation with different grades rough set in ordered information system","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2244289870","doi":"https://doi.org/10.1109/fskd.2015.7382063","mag":"2244289870"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th 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/A5011668076","display_name":"Jianhang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhang Yu","raw_affiliation_strings":["School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084755916","display_name":"Weihua Xu","orcid":"https://orcid.org/0000-0001-7202-2573"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, P.R. China","institution_ids":["https://openalex.org/I50632499"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011668076"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":null,"apc_paid":null,"fwci":1.4021,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83349809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"903","last_page":"908"},"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/T14262","display_name":"Extenics and Innovation Methods","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9103000164031982,"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":0.9468590021133423},{"id":"https://openalex.org/keywords/granulation","display_name":"Granulation","score":0.8359323740005493},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.6889251470565796},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.542244553565979},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5290488004684448},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5076559782028198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4526214599609375},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40374454855918884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3222559690475464},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32015007734298706},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09272763133049011}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.9468590021133423},{"id":"https://openalex.org/C88463166","wikidata":"https://www.wikidata.org/wiki/Q1543243","display_name":"Granulation","level":2,"score":0.8359323740005493},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.6889251470565796},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.542244553565979},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5290488004684448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5076559782028198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4526214599609375},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40374454855918884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3222559690475464},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32015007734298706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09272763133049011},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W9115759","https://openalex.org/W33946389","https://openalex.org/W194454197","https://openalex.org/W1966546225","https://openalex.org/W1973688644","https://openalex.org/W2011720606","https://openalex.org/W2035374712","https://openalex.org/W2048180277","https://openalex.org/W2051958371","https://openalex.org/W2060831874","https://openalex.org/W2066150658","https://openalex.org/W2069125985","https://openalex.org/W2087375159","https://openalex.org/W2153676086","https://openalex.org/W2305735113","https://openalex.org/W2339499216","https://openalex.org/W4253973370","https://openalex.org/W4255833381","https://openalex.org/W6601388661","https://openalex.org/W6704185492"],"related_works":["https://openalex.org/W2385082087","https://openalex.org/W154269579","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2484240834","https://openalex.org/W327654139","https://openalex.org/W2389689794","https://openalex.org/W1970726137","https://openalex.org/W2889473066","https://openalex.org/W2386656143"],"abstract_inverted_index":{"The":[0,23],"the":[1,19,20,31,39,78,109,112,116,124],"graded":[2,35],"rough":[3,7,13,36,60,84,126],"set":[4,8,14,37,61,127],"and":[5,77,92],"multi-granulation":[6,40,56,68,73,80],"are":[9,63,90,96],"two":[10],"significant":[11],"extended":[12],"models,":[15],"both":[16],"constructed":[17],"on":[18],"indiscernibility":[21],"relations.":[22],"purpose":[24],"of":[25,34,111,118],"this":[26],"paper":[27],"is":[28],"to":[29],"study":[30,102,122],"good":[32],"points":[33],"in":[38,43,49],"environment":[41],"which":[42,65],"different":[44,47,58,70,75,82],"granule":[45],"have":[46],"grades":[48,59,76,83],"ordered":[50],"information":[51],"system.":[52],"Three":[53],"new":[54],"types":[55],"with":[57,69,74,81],"models":[62],"proposed,":[64],"include":[66],"optimistic":[67],"grades,":[71],"pessimistic":[72],"mean":[79],"set.":[85],"Then,":[86],"their":[87,93],"principal":[88],"structure":[89],"studied,":[91],"basic":[94],"properties":[95],"obtained":[97],"as":[98],"well.":[99],"Finally,":[100],"we":[101],"a":[103],"case":[104],"about":[105],"students'":[106],"achievement":[107],"estimate":[108],"performance":[110],"proposed":[113],"properties.":[114],"In":[115],"viewpoint":[117],"granular":[119],"computing,":[120],"our":[121],"extension":[123],"classical":[125],"theory.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
