{"id":"https://openalex.org/W3072735917","doi":"https://doi.org/10.1109/iske47853.2019.9170439","title":"Composition of Rough Approximations under the Dominance-Based Relation","display_name":"Composition of Rough Approximations under the Dominance-Based Relation","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3072735917","doi":"https://doi.org/10.1109/iske47853.2019.9170439","mag":"3072735917"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5101398904","display_name":"Shaoyong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoyong Li","raw_affiliation_strings":["Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","institution_ids":["https://openalex.org/I4210151615"]},{"raw_affiliation_string":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915359","display_name":"Lin Yu","orcid":"https://orcid.org/0009-0004-9458-0903"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Yu","raw_affiliation_strings":["Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","institution_ids":["https://openalex.org/I4210151615"]},{"raw_affiliation_string":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007920509","display_name":"Zhiyong Hong","orcid":"https://orcid.org/0000-0002-5409-2962"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Hong","raw_affiliation_strings":["Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","institution_ids":["https://openalex.org/I4210151615"]},{"raw_affiliation_string":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015010820","display_name":"Hexi Li","orcid":"https://orcid.org/0000-0003-0728-0116"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hexi Li","raw_affiliation_strings":["Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"affiliations":[{"raw_affiliation_string":"Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,China,529020","institution_ids":["https://openalex.org/I4210151615"]},{"raw_affiliation_string":"Faculty of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101398904"],"corresponding_institution_ids":["https://openalex.org/I4210151615"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25691745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"227","last_page":"231"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.9362000226974487,"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/rough-set","display_name":"Rough set","score":0.9369802474975586},{"id":"https://openalex.org/keywords/dominance-based-rough-set-approach","display_name":"Dominance-based rough set approach","score":0.7117193937301636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6057605147361755},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5970169901847839},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.5699256062507629},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5654046535491943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45872801542282104},{"id":"https://openalex.org/keywords/approximations-of-\u03c0","display_name":"Approximations of \u03c0","score":0.43070802092552185},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4145389199256897},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41041380167007446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3740772306919098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34037256240844727},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.19997695088386536}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.9369802474975586},{"id":"https://openalex.org/C39105242","wikidata":"https://www.wikidata.org/wiki/Q5290286","display_name":"Dominance-based rough set approach","level":3,"score":0.7117193937301636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6057605147361755},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5970169901847839},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.5699256062507629},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5654046535491943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45872801542282104},{"id":"https://openalex.org/C193386753","wikidata":"https://www.wikidata.org/wiki/Q1130396","display_name":"Approximations of \u03c0","level":2,"score":0.43070802092552185},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4145389199256897},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41041380167007446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3740772306919098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34037256240844727},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.19997695088386536},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/iske47853.2019.9170439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W222640076","https://openalex.org/W2001083091","https://openalex.org/W2101285186","https://openalex.org/W2273389437","https://openalex.org/W2552836761","https://openalex.org/W2555933387","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2397494716","https://openalex.org/W2473601878","https://openalex.org/W2123662875","https://openalex.org/W2379884433","https://openalex.org/W2087213536","https://openalex.org/W4214891796","https://openalex.org/W2382975841","https://openalex.org/W2963142056","https://openalex.org/W1998730025","https://openalex.org/W2386656143"],"abstract_inverted_index":{"In":[0,110],"daily":[1],"life":[2],"people":[3],"often":[4],"make":[5],"their":[6],"decisions":[7],"according":[8],"to":[9,56,68,86,89],"the":[10,21,29,47,111,144],"available":[11,22,73],"information":[12,23,74],"as":[13,15],"much":[14],"they":[16],"can":[17,53],"collect.":[18],"Most":[19],"of":[20,31,46,82,92,103,123,146],"contains":[24],"many":[25],"indicators":[26],"that":[27],"reflect":[28],"characteristics":[30],"things.":[32],"These":[33],"indicator":[34],"data":[35],"are":[36],"ordered.":[37],"The":[38,80],"dominance-based":[39,93,124,150],"rough":[40,49,77,94,125],"set":[41,50,78],"approach":[42],"is":[43,62,85],"an":[44],"extension":[45],"classical":[48],"model":[51],"and":[52,65,117,135],"be":[54],"used":[55],"process":[57],"ordered":[58],"information.":[59],"Computing":[60],"approximations":[61,91,122,148],"a":[63,115],"time-consuming":[64],"key":[66],"mission":[67],"discover":[69],"useful":[70],"knowledge":[71],"from":[72,108],"by":[75,96],"using":[76,97],"theory.":[79],"aim":[81],"this":[83,128],"work":[84],"investigate":[87],"how":[88],"compose":[90],"sets":[95],"some":[98,130],"existing":[99],"intermediate":[100],"results":[101],"instead":[102],"computing":[104,121],"them":[105],"with":[106],"beginning":[107],"scratch.":[109],"paper,":[112],"we":[113],"construct":[114],"decomposing":[116],"composing":[118,138,147],"mechanism":[119],"for":[120],"sets.":[126],"Under":[127],"mechanism,":[129],"matrix":[131],"operations":[132],"were":[133],"defined":[134],"employed":[136],"in":[137],"approximations.":[139],"A":[140],"numerical":[141],"example":[142],"illustrates":[143],"feasibility":[145],"under":[149],"relation.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}