iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1016/J.INS.2019.12.020
{"id":"https://openalex.org/W2996258045","doi":"https://doi.org/10.1016/j.ins.2019.12.020","title":"Three-way decision on two universes","display_name":"Three-way decision on two universes","publication_year":2019,"publication_date":"2019-12-16","ids":{"openalex":"https://openalex.org/W2996258045","doi":"https://doi.org/10.1016/j.ins.2019.12.020","mag":"2996258045"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ins.2019.12.020","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100711196","display_name":"Xiaonan Li","orcid":"https://orcid.org/0000-0002-6925-8777"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaonan Li","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100315463","display_name":"Qianqian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Sun","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112747049","display_name":"Hongmei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmei Chen","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037164159","display_name":"Huangjian Yi","orcid":"https://orcid.org/0000-0002-0684-4402"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huangjian Yi","raw_affiliation_strings":["School of Information and Technology, Northwest University, Xi\u2019an 710069, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Technology, Northwest University, Xi\u2019an 710069, China","institution_ids":["https://openalex.org/I37802460"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100711196"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":3330,"currency":"USD","value_usd":3330,"provenance":"doaj"},"apc_paid":null,"fwci":3.497,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.999888,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"515","issue":null,"first_page":"263","last_page":"279"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets Theory and Applications","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 Theory and Applications","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/T10538","display_name":"Data Mining Techniques and Applications","score":0.9498,"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/three-way-decisions","display_name":"Three-Way Decisions","score":0.618631},{"id":"https://openalex.org/keywords/probabilistic-rough-sets","display_name":"Probabilistic Rough Sets","score":0.529831},{"id":"https://openalex.org/keywords/decision-analysis","display_name":"Decision Analysis","score":0.500311},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.44525227}],"concepts":[{"id":"https://openalex.org/C84999194","wikidata":"https://www.wikidata.org/wiki/Q1","display_name":"Universe","level":2,"score":0.74761593},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6182226},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6057587},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.51762253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4814348},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46189702},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.45784113},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.44525227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4409469},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43540797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4211521},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.25183526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24272132},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10803637},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10179624},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"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":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.ins.2019.12.020","pdf_url":null,"source":{"id":"https://openalex.org/S192650101","display_name":"Information Sciences","issn_l":"0020-0255","issn":["0020-0255","1872-6291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.72}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61906154"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61772019"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61976244"},{"funder":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation","award_id":"2016M602851"}],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W101345952","https://openalex.org/W1511669739","https://openalex.org/W1533260502","https://openalex.org/W1978539672","https://openalex.org/W1988907639","https://openalex.org/W1992639932","https://openalex.org/W1999612973","https://openalex.org/W2002367458","https://openalex.org/W2011720606","https://openalex.org/W2012413672","https://openalex.org/W2013300239","https://openalex.org/W2013378801","https://openalex.org/W2028561988","https://openalex.org/W2052294962","https://openalex.org/W2053749030","https://openalex.org/W2055266411","https://openalex.org/W2070022339","https://openalex.org/W2070813883","https://openalex.org/W2075934911","https://openalex.org/W2079680557","https://openalex.org/W2083521084","https://openalex.org/W2089923511","https://openalex.org/W2113591863","https://openalex.org/W2288301540","https://openalex.org/W2343717665","https://openalex.org/W2365382545","https://openalex.org/W2580172056","https://openalex.org/W2586356223","https://openalex.org/W260280808","https://openalex.org/W2607799247","https://openalex.org/W2640233652","https://openalex.org/W2740407498","https://openalex.org/W2787964812","https://openalex.org/W2889966968","https://openalex.org/W2890144670","https://openalex.org/W2942177650"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2383059137","https://openalex.org/W2382278777","https://openalex.org/W2375932290","https://openalex.org/W2353240132","https://openalex.org/W2352037289","https://openalex.org/W2153240894","https://openalex.org/W2107349454","https://openalex.org/W1964260090","https://openalex.org/W1587347718"],"abstract_inverted_index":{"Rough":[0],"set":[1,72],"models":[2,42,63,69],"on":[3,27,46,83,121],"two":[4,47],"universes":[5],"are":[6,24,58,99],"important":[7,51],"generalizations":[8],"of":[9,15,43,53,80,92,96,112,125,133],"Pawlak\u2019s":[10],"classical":[11],"model.":[12],"In":[13],"most":[14],"the":[16,19,35,41,78,86,93,110,122,126],"two-universe":[17,68,84,88,94],"models,":[18],"upper":[20],"and":[21,39,74,115],"lower":[22],"approximations":[23],"constructed":[25],"based":[26,120],"inclusion":[28,32],"relation.":[29],"We":[30,60],"generalize":[31],"relation":[33],"to":[34,108,131],"general":[36],"evaluation":[37,54],"function":[38],"define":[40],"three-way":[44,81,97],"decision":[45,82,98],"universes.":[48],"As":[49],"an":[50,106],"class":[52],"functions,":[55],"subsethood":[56],"measures":[57],"considered.":[59],"compare":[61],"our":[62],"with":[64,129],"other":[65],"five":[66,87],"existing":[67],"in":[70],"rough":[71],"theory":[73],"point":[75],"out":[76],"that":[77],"model":[79,95],"unifies":[85],"models.":[89],"Besides,":[90],"properties":[91],"also":[100],"given.":[101],"More":[102],"importantly,":[103],"we":[104],"propose":[105],"approach":[107,118],"computing":[109],"pair":[111],"thresholds":[113],"\u03b1":[114],"\u03b2.":[116],"Our":[117],"is":[119],"maximum":[123],"value":[124],"accuracy":[127],"measure":[128],"respect":[130],"tri-partitions":[132],"a":[134],"universe":[135],"induced":[136],"by":[137],"all":[138],"thresholds.":[139]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2996258045","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4}],"updated_date":"2024-10-27T01:29:46.788545","created_date":"2019-12-26"}