{"id":"https://openalex.org/W4386950792","doi":"https://doi.org/10.1051/ro/2023154","title":"Improved efficiency assessment in network DEA through interval data analysis: An empirical study in agriculture","display_name":"Improved efficiency assessment in network DEA through interval data analysis: An empirical study in agriculture","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4386950792","doi":"https://doi.org/10.1051/ro/2023154"},"language":"en","primary_location":{"id":"doi:10.1051/ro/2023154","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2023154","pdf_url":"https://www.rairo-ro.org/articles/ro/pdf/forth/ro230258.pdf","source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.rairo-ro.org/articles/ro/pdf/forth/ro230258.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100331345","display_name":"Nan Zhang","orcid":"https://orcid.org/0009-0001-0255-8484"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nan Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021644169","display_name":"Amir Kalhor","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amir Kalhor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063354891","display_name":"Roza Azizi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roza Azizi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108865298","display_name":"Reza Kazemi-Matin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reza Kazemi-Matin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100331345"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2166,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81373408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"57","issue":"6","first_page":"3007","last_page":"3031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9817000031471252,"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":0.9817000031471252,"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/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.7984664440155029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6446848511695862},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6224234700202942},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.49507489800453186},{"id":"https://openalex.org/keywords/pessimism","display_name":"Pessimism","score":0.4886670410633087},{"id":"https://openalex.org/keywords/efficiency","display_name":"Efficiency","score":0.4177249073982239},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.41280683875083923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4119187593460083},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3225099444389343},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2036142647266388},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1663028597831726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15971964597702026},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15849637985229492}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.7984664440155029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446848511695862},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6224234700202942},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.49507489800453186},{"id":"https://openalex.org/C9992130","wikidata":"https://www.wikidata.org/wiki/Q484954","display_name":"Pessimism","level":2,"score":0.4886670410633087},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.4177249073982239},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.41280683875083923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4119187593460083},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3225099444389343},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2036142647266388},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1663028597831726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15971964597702026},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15849637985229492},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1051/ro/2023154","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2023154","pdf_url":"https://www.rairo-ro.org/articles/ro/pdf/forth/ro230258.pdf","source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/ro/2023154","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.rairo-ro.org/10.1051/ro/2023154/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/ro/2023154","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1051/ro/2023154","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2023154","pdf_url":"https://www.rairo-ro.org/articles/ro/pdf/forth/ro230258.pdf","source":{"id":"https://openalex.org/S4393919633","display_name":"RAIRO. Operations research","issn_l":"2804-7303","issn":["2804-7303"],"is_oa":false,"is_in_doaj":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386950792.pdf","grobid_xml":"https://content.openalex.org/works/W4386950792.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1502683951","https://openalex.org/W1968353627","https://openalex.org/W1970239994","https://openalex.org/W1970587782","https://openalex.org/W1972137251","https://openalex.org/W1973442454","https://openalex.org/W1976661361","https://openalex.org/W1987120331","https://openalex.org/W1990706648","https://openalex.org/W1992571033","https://openalex.org/W1996475019","https://openalex.org/W1996825162","https://openalex.org/W1997234144","https://openalex.org/W1997385924","https://openalex.org/W1999657350","https://openalex.org/W2009366868","https://openalex.org/W2017563827","https://openalex.org/W2018454036","https://openalex.org/W2019902041","https://openalex.org/W2019920401","https://openalex.org/W2023523802","https://openalex.org/W2026605296","https://openalex.org/W2028190032","https://openalex.org/W2032833645","https://openalex.org/W2036891820","https://openalex.org/W2037016507","https://openalex.org/W2046054477","https://openalex.org/W2048452634","https://openalex.org/W2051804159","https://openalex.org/W2052120772","https://openalex.org/W2054644785","https://openalex.org/W2063703088","https://openalex.org/W2072547811","https://openalex.org/W2074103727","https://openalex.org/W2075873452","https://openalex.org/W2076452041","https://openalex.org/W2091313095","https://openalex.org/W2095569416","https://openalex.org/W2107547974","https://openalex.org/W2116275639","https://openalex.org/W2122672261","https://openalex.org/W2124951147","https://openalex.org/W2133143457","https://openalex.org/W2155519323","https://openalex.org/W2162693653","https://openalex.org/W2167397081","https://openalex.org/W2167491077","https://openalex.org/W2185947508","https://openalex.org/W2193781308","https://openalex.org/W2283033505","https://openalex.org/W2294703265","https://openalex.org/W2296821311","https://openalex.org/W2601289346","https://openalex.org/W2603418147","https://openalex.org/W2615277761","https://openalex.org/W2903898092","https://openalex.org/W2907275255","https://openalex.org/W2923244038","https://openalex.org/W3011886453","https://openalex.org/W3165152080","https://openalex.org/W3174457140","https://openalex.org/W4210307310","https://openalex.org/W4210495951","https://openalex.org/W4213314772","https://openalex.org/W4281618535","https://openalex.org/W4285392845","https://openalex.org/W4294958564","https://openalex.org/W4297347996","https://openalex.org/W4321437391","https://openalex.org/W4385213544"],"related_works":["https://openalex.org/W2035423388","https://openalex.org/W312923485","https://openalex.org/W2041365066","https://openalex.org/W2120745168","https://openalex.org/W3117803693","https://openalex.org/W2169049974","https://openalex.org/W2043018577","https://openalex.org/W1971975847","https://openalex.org/W2354788275","https://openalex.org/W2154914552"],"abstract_inverted_index":{"Conventional":[0],"Network":[1],"Data":[2],"Envelopment":[3],"Analysis":[4],"(NDEA)":[5],"models":[6],"often":[7],"make":[8],"an":[9,70],"assumption":[10],"of":[11,22,48,61,88,106,127,150],"data":[12,64],"precision,":[13],"which":[14],"frequently":[15],"does":[16],"not":[17,145],"align":[18],"with":[19,28],"the":[20,45,58,85,104,125,130,140,148],"realities":[21],"many":[23],"real-world":[24,166],"scenarios.":[25],"When":[26],"dealing":[27],"ambiguous":[29],"data,":[30,44],"whether":[31],"it":[32,96],"involves":[33],"input,":[34],"output,":[35],"or":[36,42],"intermediate":[37],"products":[38],"represented":[39],"as":[40],"bounded":[41],"ordinal":[43],"accurate":[46],"assessment":[47],"efficiency":[49,94,108,121],"scores":[50],"poses":[51],"a":[52,117,136],"significant":[53],"challenge.":[54],"This":[55],"study":[56,131,138],"addresses":[57],"crucial":[59],"issue":[60],"handling":[62],"interval":[63,107],"within":[65],"NDEA":[66],"structures":[67],"by":[68],"introducing":[69],"innovative":[71],"methodology":[72,82,153],"that":[73],"integrates":[74],"both":[75],"optimistic":[76],"and":[77,90,100,164],"pessimistic":[78],"strategies.":[79],"Our":[80],"proposed":[81,152],"goes":[83],"beyond":[84],"mere":[86],"determination":[87],"upper":[89],"lower":[91],"bounds":[92],"for":[93,109,120,159],"scores;":[95],"also":[97,155],"incorporates":[98],"target-setting":[99],"improvement":[101],"approaches.":[102],"Through":[103],"calculation":[105],"each":[110],"decision-making":[111],"unit":[112],"(DMU),":[113],"our":[114,151],"approach":[115],"offers":[116],"comprehensive":[118],"framework":[119],"classification.":[122],"To":[123],"underscore":[124],"effectiveness":[126],"this":[128],"methodology,":[129],"presents":[132],"empirical":[133],"evidence":[134],"through":[135],"case":[137],"in":[139,162],"agriculture":[141],"industry.":[142],"The":[143],"results":[144],"only":[146],"showcase":[147],"advantages":[149],"but":[154],"emphasize":[156],"its":[157],"potential":[158],"practical":[160],"application":[161],"diverse":[163],"complex":[165],"contexts.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
