{"id":"https://openalex.org/W2288301540","doi":"https://doi.org/10.1007/978-3-319-25754-9_6","title":"Rough Sets and Three-Way Decisions","display_name":"Rough Sets and Three-Way Decisions","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2288301540","doi":"https://doi.org/10.1007/978-3-319-25754-9_6","mag":"2288301540"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-25754-9_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25754-9_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-25754-9_6","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063696855","display_name":"Yiyu Yao","orcid":"https://orcid.org/0000-0001-6502-6226"},"institutions":[{"id":"https://openalex.org/I194028371","display_name":"University of Regina","ror":"https://ror.org/03dzc0485","country_code":"CA","type":"education","lineage":["https://openalex.org/I194028371"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yiyu Yao","raw_affiliation_strings":["Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Regina, Regina, SK, S4S 0A2, Canada","institution_ids":["https://openalex.org/I194028371"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063696855"],"corresponding_institution_ids":["https://openalex.org/I194028371"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":20.274,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.99688399,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"73"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9717000126838684,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9535999894142151,"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":0.8633694648742676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.745101809501648},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.6117849946022034},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5700269937515259},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5497154593467712},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5350791811943054},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5009639263153076},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4964364171028137},{"id":"https://openalex.org/keywords/dominance-based-rough-set-approach","display_name":"Dominance-based rough set approach","score":0.48029085993766785},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4369077980518341},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42495304346084595},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3936315178871155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3905484974384308},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38331031799316406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24735909700393677}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8633694648742676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745101809501648},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6117849946022034},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5700269937515259},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5497154593467712},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5350791811943054},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5009639263153076},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4964364171028137},{"id":"https://openalex.org/C39105242","wikidata":"https://www.wikidata.org/wiki/Q5290286","display_name":"Dominance-based rough set approach","level":3,"score":0.48029085993766785},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4369077980518341},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42495304346084595},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3936315178871155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3905484974384308},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38331031799316406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24735909700393677},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-25754-9_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25754-9_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-25754-9_6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-25754-9_6","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W192821","https://openalex.org/W95749022","https://openalex.org/W101345952","https://openalex.org/W837378864","https://openalex.org/W881110586","https://openalex.org/W964455177","https://openalex.org/W1004203976","https://openalex.org/W1021182246","https://openalex.org/W1041128124","https://openalex.org/W1157081299","https://openalex.org/W1511669739","https://openalex.org/W1533260502","https://openalex.org/W1557923305","https://openalex.org/W1559666492","https://openalex.org/W1596067335","https://openalex.org/W1606022329","https://openalex.org/W1617290740","https://openalex.org/W1662577487","https://openalex.org/W1890412369","https://openalex.org/W1966710300","https://openalex.org/W1979029381","https://openalex.org/W1979092190","https://openalex.org/W1989393769","https://openalex.org/W1990116832","https://openalex.org/W2001692054","https://openalex.org/W2002367458","https://openalex.org/W2006873874","https://openalex.org/W2009060970","https://openalex.org/W2013300239","https://openalex.org/W2036789112","https://openalex.org/W2048472139","https://openalex.org/W2052715156","https://openalex.org/W2070813883","https://openalex.org/W2080404663","https://openalex.org/W2082185024","https://openalex.org/W2114832876","https://openalex.org/W2185670626","https://openalex.org/W2208856346","https://openalex.org/W2217596628","https://openalex.org/W2325826046","https://openalex.org/W2352490338","https://openalex.org/W2398046978","https://openalex.org/W2490295271","https://openalex.org/W2561675875","https://openalex.org/W2605103018","https://openalex.org/W2912565176","https://openalex.org/W2990482619","https://openalex.org/W4211007335","https://openalex.org/W4242309855","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2397494716","https://openalex.org/W2123662875","https://openalex.org/W2473601878","https://openalex.org/W2379884433","https://openalex.org/W2042497195","https://openalex.org/W4214891796","https://openalex.org/W2165634587","https://openalex.org/W2087213536","https://openalex.org/W2382975841","https://openalex.org/W2978519593"],"abstract_inverted_index":{"The":[0,102],"notion":[1],"of":[2,16,30,41,58,63,73,107,117],"three-way":[3,42,56,74,118],"decisions":[4,43],"was":[5],"originally":[6],"introduced":[7],"by":[8],"the":[9,13,99],"needs":[10],"to":[11,33,78,90],"explain":[12],"three":[14,35,86,100],"regions":[15,112],"probabilistic":[17],"rough":[18,24,50],"sets.":[19],"Recent":[20],"studies":[21],"show":[22],"that":[23],"set":[25,84],"theory":[26,40],"is":[27],"only":[28],"one":[29],"possible":[31],"ways":[32],"construct":[34],"regions.":[36,87,101],"A":[37],"more":[38],"general":[39],"has":[44],"been":[45],"proposed,":[46],"embracing":[47],"ideas":[48],"from":[49],"sets,":[51,53,55,60],"interval":[52],"shadowed":[54],"approximations":[57],"fuzzy":[59],"orthopairs,":[61],"square":[62],"oppositions,":[64],"and":[65,104],"others.":[66],"This":[67],"paper":[68],"presents":[69],"a":[70,82,114],"trisecting-and-acting":[71],"framework":[72],"decisions.":[75,119],"With":[76,88],"respect":[77,89],"trisecting,":[79],"we":[80,92],"divide":[81],"universal":[83],"into":[85],"acting,":[91],"design":[93],"most":[94],"effective":[95],"strategies":[96,109],"for":[97,110],"processing":[98],"identification":[103],"explicit":[105],"investigation":[106],"different":[108,111],"are":[113],"distinguishing":[115],"feature":[116]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
