{"id":"https://openalex.org/W4387020117","doi":"https://doi.org/10.1007/s10462-023-10605-1","title":"GDTRSET: a generalized decision-theoretic rough sets based on evidence theory","display_name":"GDTRSET: a generalized decision-theoretic rough sets based on evidence theory","publication_year":2023,"publication_date":"2023-09-25","ids":{"openalex":"https://openalex.org/W4387020117","doi":"https://doi.org/10.1007/s10462-023-10605-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-023-10605-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-023-10605-1","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-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/A5029174092","display_name":"Luyuan Chen","orcid":"https://orcid.org/0000-0003-3506-5296"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyuan Chen","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741983","display_name":"Yong Deng","orcid":"https://orcid.org/0000-0001-9286-2123"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yong Deng","raw_affiliation_strings":["Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","School of Medicine, Vanderbilt University, Nashville, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Medicine, Vanderbilt University, Nashville, USA","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100741983"],"corresponding_institution_ids":["https://openalex.org/I150229711","https://openalex.org/I200719446"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":1.2091,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82265837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"56","issue":"S3","first_page":"3341","last_page":"3362"},"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":0.9514999985694885,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9291999936103821,"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/conditional-probability","display_name":"Conditional probability","score":0.6848247647285461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739453077316284},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6158407926559448},{"id":"https://openalex.org/keywords/decision-theory","display_name":"Decision theory","score":0.5473785400390625},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.519027829170227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4742533266544342},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4580572545528412},{"id":"https://openalex.org/keywords/law-of-total-probability","display_name":"Law of total probability","score":0.44779232144355774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44067493081092834},{"id":"https://openalex.org/keywords/decision-rule","display_name":"Decision rule","score":0.4114149808883667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3644927740097046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2709258794784546},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.26726585626602173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12228325009346008}],"concepts":[{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.6848247647285461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739453077316284},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6158407926559448},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.5473785400390625},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.519027829170227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4742533266544342},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4580572545528412},{"id":"https://openalex.org/C49698424","wikidata":"https://www.wikidata.org/wiki/Q1989192","display_name":"Law of total probability","level":4,"score":0.44779232144355774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44067493081092834},{"id":"https://openalex.org/C84839998","wikidata":"https://www.wikidata.org/wiki/Q5249245","display_name":"Decision rule","level":2,"score":0.4114149808883667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3644927740097046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2709258794784546},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.26726585626602173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12228325009346008},{"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:10.1007/s10462-023-10605-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10462-023-10605-1","pdf_url":null,"source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5598836513","display_name":null,"funder_award_id":"No. 61973332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1965832725","https://openalex.org/W2032172961","https://openalex.org/W2070813883","https://openalex.org/W2084186462","https://openalex.org/W2089923511","https://openalex.org/W2117079761","https://openalex.org/W2276992463","https://openalex.org/W2328093939","https://openalex.org/W2568228263","https://openalex.org/W2623978803","https://openalex.org/W2753546593","https://openalex.org/W2772794611","https://openalex.org/W2773841211","https://openalex.org/W2784166218","https://openalex.org/W2790162574","https://openalex.org/W2792234535","https://openalex.org/W2807108612","https://openalex.org/W2822638269","https://openalex.org/W2884615103","https://openalex.org/W2887732625","https://openalex.org/W2889077617","https://openalex.org/W2896890561","https://openalex.org/W2898660825","https://openalex.org/W2901104715","https://openalex.org/W2910302374","https://openalex.org/W2911964244","https://openalex.org/W2915420273","https://openalex.org/W2916784550","https://openalex.org/W2933160470","https://openalex.org/W2937482221","https://openalex.org/W2942289617","https://openalex.org/W2946021995","https://openalex.org/W2960746948","https://openalex.org/W2972050006","https://openalex.org/W2986647026","https://openalex.org/W2999963010","https://openalex.org/W3006993671","https://openalex.org/W3007999534","https://openalex.org/W3013560346","https://openalex.org/W3026092610","https://openalex.org/W3034900477","https://openalex.org/W3039996349","https://openalex.org/W3047412327","https://openalex.org/W3080250612","https://openalex.org/W3084456568","https://openalex.org/W3095580593","https://openalex.org/W3116811081","https://openalex.org/W3119069582","https://openalex.org/W3128472026","https://openalex.org/W3163723672","https://openalex.org/W3196611792","https://openalex.org/W3214776501","https://openalex.org/W4200228453","https://openalex.org/W4206075111","https://openalex.org/W4210420716","https://openalex.org/W4224062983","https://openalex.org/W4226181437","https://openalex.org/W4296606738","https://openalex.org/W4301347335","https://openalex.org/W4307404699","https://openalex.org/W4310193697","https://openalex.org/W4318559608","https://openalex.org/W4323923523","https://openalex.org/W4385453403"],"related_works":["https://openalex.org/W2362625891","https://openalex.org/W2285782125","https://openalex.org/W2900754349","https://openalex.org/W2387621747","https://openalex.org/W2496080982","https://openalex.org/W4250816003","https://openalex.org/W4214891796","https://openalex.org/W2041511828","https://openalex.org/W2384634999","https://openalex.org/W1566590766"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}
