{"id":"https://openalex.org/W4387105629","doi":"https://doi.org/10.3390/data8100146","title":"Synthetic Data Generation for Data Envelopment Analysis","display_name":"Synthetic Data Generation for Data Envelopment Analysis","publication_year":2023,"publication_date":"2023-09-27","ids":{"openalex":"https://openalex.org/W4387105629","doi":"https://doi.org/10.3390/data8100146"},"language":"en","primary_location":{"id":"doi:10.3390/data8100146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8100146","pdf_url":"https://www.mdpi.com/2306-5729/8/10/146/pdf?version=1695779756","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2306-5729/8/10/146/pdf?version=1695779756","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014936976","display_name":"Andrey V. Lychev","orcid":"https://orcid.org/0000-0003-1532-1141"},"institutions":[{"id":"https://openalex.org/I12003341","display_name":"National University of Science and Technology","ror":"https://ror.org/019vsm959","country_code":"RU","type":"education","lineage":["https://openalex.org/I12003341"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Andrey V. Lychev","raw_affiliation_strings":["College of Information Technologies and Computer Sciences, National University of Science and Technology \u201cMISIS\u201d, 4 Leninsky Ave., Bldg. 1, 119049 Moscow, Russia","College of Information Technologies and Computer Sciences, National University of Science and Technology \"MISIS\", 4 Leninsky Ave., Bldg. 1, 119049 Moscow, Russia"],"raw_orcid":"https://orcid.org/0000-0003-1532-1141","affiliations":[{"raw_affiliation_string":"College of Information Technologies and Computer Sciences, National University of Science and Technology \u201cMISIS\u201d, 4 Leninsky Ave., Bldg. 1, 119049 Moscow, Russia","institution_ids":["https://openalex.org/I12003341"]},{"raw_affiliation_string":"College of Information Technologies and Computer Sciences, National University of Science and Technology \"MISIS\", 4 Leninsky Ave., Bldg. 1, 119049 Moscow, Russia","institution_ids":["https://openalex.org/I12003341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014936976"],"corresponding_institution_ids":["https://openalex.org/I12003341"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.9862,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78823763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"8","issue":"10","first_page":"146","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9998999834060669,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9509999752044678,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9283000230789185,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.744660496711731},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.6425989270210266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6154747605323792},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.611144483089447},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5407633185386658},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5177128314971924},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.48508989810943604},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4232734143733978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3217431902885437},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16382735967636108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1285358965396881},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07764169573783875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.744660496711731},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.6425989270210266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6154747605323792},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.611144483089447},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5407633185386658},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5177128314971924},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48508989810943604},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4232734143733978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3217431902885437},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16382735967636108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1285358965396881},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07764169573783875},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/data8100146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8100146","pdf_url":"https://www.mdpi.com/2306-5729/8/10/146/pdf?version=1695779756","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:gam:jdataj:v:8:y:2023:i:10:p:146-:d:1248449","is_oa":false,"landing_page_url":"https://www.mdpi.com/2306-5729/8/10/146/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:f5d11e5bf67d4edfb9811dfcb820b6a6","is_oa":true,"landing_page_url":"https://doaj.org/article/f5d11e5bf67d4edfb9811dfcb820b6a6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data, Vol 8, Iss 10, p 146 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2306-5729/8/10/146/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/data8100146","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/data8100146","is_oa":true,"landing_page_url":"https://doi.org/10.3390/data8100146","pdf_url":"https://www.mdpi.com/2306-5729/8/10/146/pdf?version=1695779756","source":{"id":"https://openalex.org/S4210226510","display_name":"Data","issn_l":"2306-5729","issn":["2306-5729"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8567088782","display_name":null,"funder_award_id":"23-11-00197","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387105629.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W130988232","https://openalex.org/W345940853","https://openalex.org/W1273009213","https://openalex.org/W1972610460","https://openalex.org/W1972699659","https://openalex.org/W1974899953","https://openalex.org/W1975720061","https://openalex.org/W1977134285","https://openalex.org/W1983385359","https://openalex.org/W1988770143","https://openalex.org/W1998842685","https://openalex.org/W1998946919","https://openalex.org/W2001994823","https://openalex.org/W2010798325","https://openalex.org/W2013984054","https://openalex.org/W2020279107","https://openalex.org/W2033379267","https://openalex.org/W2037256105","https://openalex.org/W2038761115","https://openalex.org/W2059284665","https://openalex.org/W2062083276","https://openalex.org/W2069562993","https://openalex.org/W2070095139","https://openalex.org/W2071283737","https://openalex.org/W2080611722","https://openalex.org/W2083338082","https://openalex.org/W2085051641","https://openalex.org/W2088756387","https://openalex.org/W2095723131","https://openalex.org/W2104448377","https://openalex.org/W2110250287","https://openalex.org/W2114843731","https://openalex.org/W2115414889","https://openalex.org/W2116097028","https://openalex.org/W2124370456","https://openalex.org/W2129763896","https://openalex.org/W2151278668","https://openalex.org/W2160959155","https://openalex.org/W2162180338","https://openalex.org/W2164053046","https://openalex.org/W2407754183","https://openalex.org/W2499441848","https://openalex.org/W2519298200","https://openalex.org/W2899304741","https://openalex.org/W2914841824","https://openalex.org/W2962870490","https://openalex.org/W2967104854","https://openalex.org/W3010426765","https://openalex.org/W3049173317","https://openalex.org/W3092575840","https://openalex.org/W3111101701","https://openalex.org/W3124541731","https://openalex.org/W3200137496","https://openalex.org/W4221037610","https://openalex.org/W4281931618","https://openalex.org/W4289520498","https://openalex.org/W4289767948","https://openalex.org/W4291899243","https://openalex.org/W4300395170","https://openalex.org/W4303857005","https://openalex.org/W4382560161","https://openalex.org/W4383213151","https://openalex.org/W4386963606","https://openalex.org/W6628251762","https://openalex.org/W6674722333","https://openalex.org/W6684083191","https://openalex.org/W6713774153","https://openalex.org/W6783926824","https://openalex.org/W6786767488","https://openalex.org/W6801433464","https://openalex.org/W6926302302","https://openalex.org/W6926347091","https://openalex.org/W6945393950","https://openalex.org/W6945400023"],"related_works":["https://openalex.org/W2159670039","https://openalex.org/W4226120311","https://openalex.org/W2058928070","https://openalex.org/W3016530894","https://openalex.org/W4233429336","https://openalex.org/W4256422528","https://openalex.org/W4235291650","https://openalex.org/W3196914014","https://openalex.org/W1647640974","https://openalex.org/W1492383846"],"abstract_inverted_index":{"The":[0,80,139],"paper":[1,60],"is":[2,142],"devoted":[3],"to":[4,33,41,127,131,144,158],"the":[5,28,53,62,84,88,96,104,107,117,154,174,177],"problem":[6],"of":[7,48,87,147,176],"generating":[8],"artificial":[9,75,92],"datasets":[10,44,47,123,155],"for":[11,20],"data":[12,35,39,136,179],"envelopment":[13],"analysis":[14],"(DEA),":[15],"which":[16,64],"can":[17],"be":[18],"used":[19,37],"testing":[21],"DEA":[22,32],"models":[23],"and":[24,71,77,111,170],"methods.":[25],"In":[26],"particular,":[27],"papers":[29],"that":[30,124,134,164],"applied":[31,143],"big":[34],"often":[36],"synthetic":[38,122],"generation":[40,81],"obtain":[42],"large-scale":[43],"because":[45],"real":[46,69,128],"large":[49],"size,":[50],"available":[51],"in":[52],"public":[54],"domain,":[55],"are":[56,125],"extremely":[57],"rare.":[58],"This":[59,119],"proposes":[61],"algorithm":[63,105,141],"takes":[65],"as":[66,180],"input":[67],"some":[68],"dataset":[70],"complements":[72],"it":[73],"by":[74,90],"efficient":[76,85,93,98],"inefficient":[78],"units.":[79,160],"process":[82],"extends":[83],"part":[86],"frontier":[89,99],"inserting":[91],"units,":[94],"keeping":[95],"original":[97,178],"unchanged.":[100],"For":[101],"this":[102],"purpose,":[103],"uses":[106],"assurance":[108],"region":[109],"method":[110],"consistently":[112],"relaxes":[113],"weight":[114],"restrictions":[115],"during":[116],"iterations.":[118],"approach":[120],"produces":[121],"closer":[126],"ones,":[129],"compared":[130],"other":[132],"algorithms":[133],"generate":[135],"from":[137],"scratch.":[138],"proposed":[140],"a":[145,152,181],"pair":[146],"small":[148],"real-life":[149],"datasets.":[150],"As":[151],"result,":[153],"were":[156],"expanded":[157],"50K":[159],"Computational":[161],"experiments":[162],"show":[163],"artificially":[165],"generated":[166],"DMUs":[167],"preserve":[168],"isotonicity":[169],"do":[171],"not":[172],"increase":[173],"collinearity":[175],"whole.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-23T23:20:30.427331","created_date":"2025-10-10T00:00:00"}