{"id":"https://openalex.org/W2566576043","doi":"https://doi.org/10.1504/ijads.2017.10002220","title":"Cooperative Mechanism based on Data Envelopment Analysis and Artificial Neural Network to Measure Efficiency: Case Study of Iranian Ports","display_name":"Cooperative Mechanism based on Data Envelopment Analysis and Artificial Neural Network to Measure Efficiency: Case Study of Iranian Ports","publication_year":2016,"publication_date":"2016-12-22","ids":{"openalex":"https://openalex.org/W2566576043","doi":"https://doi.org/10.1504/ijads.2017.10002220","mag":"2566576043"},"language":"en","primary_location":{"id":"doi:10.1504/ijads.2017.10002220","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijads.2017.10002220","pdf_url":null,"source":{"id":"https://openalex.org/S12980254","display_name":"International Journal of Applied Decision Sciences","issn_l":"1755-8077","issn":["1755-8077","1755-8085"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Decision Sciences","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/A5061942184","display_name":"Raheleh Mousavizadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I136830121","display_name":"Islamic Azad University South Tehran Branch","ror":"https://ror.org/02xc21a77","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I136830121"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Raheleh Mousavizadeh","raw_affiliation_strings":["Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I136830121"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057486515","display_name":"Kaveh Khalili\u2010Damghani","orcid":"https://orcid.org/0000-0002-2338-1673"},"institutions":[{"id":"https://openalex.org/I136830121","display_name":"Islamic Azad University South Tehran Branch","ror":"https://ror.org/02xc21a77","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I136830121"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kaveh Khalili Damghani","raw_affiliation_strings":["Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, South-Tehran Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I136830121"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061942184"],"corresponding_institution_ids":["https://openalex.org/I136830121"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20295699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9667999744415283,"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":0.9465956687927246},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7765225172042847},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.706579327583313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6903236508369446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6603578329086304},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5752690434455872},{"id":"https://openalex.org/keywords/efficiency","display_name":"Efficiency","score":0.5146433115005493},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5062729120254517},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48047202825546265},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.42001497745513916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35789796710014343},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.331083208322525},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.31111690402030945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2932335138320923},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1971905529499054},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1701764464378357},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1505412757396698},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.10201272368431091}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.9465956687927246},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7765225172042847},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.706579327583313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6903236508369446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6603578329086304},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5752690434455872},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.5146433115005493},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5062729120254517},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48047202825546265},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.42001497745513916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35789796710014343},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.331083208322525},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.31111690402030945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2932335138320923},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1971905529499054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1701764464378357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1505412757396698},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.10201272368431091},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijads.2017.10002220","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijads.2017.10002220","pdf_url":null,"source":{"id":"https://openalex.org/S12980254","display_name":"International Journal of Applied Decision Sciences","issn_l":"1755-8077","issn":["1755-8077","1755-8085"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Decision Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2035423388","https://openalex.org/W1997433734","https://openalex.org/W312923485","https://openalex.org/W2285000485","https://openalex.org/W3000540828","https://openalex.org/W2041365066","https://openalex.org/W2120745168","https://openalex.org/W2989675511","https://openalex.org/W3117803693","https://openalex.org/W2169049974"],"abstract_inverted_index":{"Ports":[0],"are":[1,20],"main":[2,54],"parts":[3],"of":[4,15,26,52,81,84,92,99,108,126,136,141],"business":[5],"and":[6,41,50,89,94,145],"transportation":[7],"in":[8,24,56,79],"every":[9],"country.":[10],"So,":[11],"measuring":[12],"the":[13,48,62,121,134,139],"efficiency":[14,49,110],"ports":[16,27,55],"is":[17],"essential.":[18],"There":[19],"several":[21],"criteria":[22],"involved":[23],"assessment":[25],"performance.":[28],"This":[29],"paper":[30],"presents":[31],"a":[32,105],"cooperative":[33],"approach":[34,64,71],"based":[35],"on":[36,138],"data":[37],"envelopment":[38],"analysis":[39],"(DEA)":[40],"artificial":[42],"neural":[43],"network":[44],"(ANN)":[45],"to":[46,115,119,132],"measure":[47],"ranking":[51],"11":[53],"Iran.":[57],"The":[58,69,123],"results":[59],"show":[60],"that":[61],"DEA-ANN":[63],"outperforms":[65],"classic":[66],"DEA":[67],"approach.":[68],"proposed":[70,124],"provides":[72],"following":[73],"advantages:":[74],"1)":[75],"high":[76,90],"discrimination":[77],"power":[78],"presence":[80],"low":[82],"number":[83,91],"decision":[85],"making":[86],"units":[87],"(DMUs)":[88],"inputs":[93,144],"outputs;":[95],"2)":[96],"suitable":[97],"estimation":[98,107],"future":[100,109,142],"production":[101],"function;":[102],"3)":[103],"providing":[104],"proper":[106],"scores;":[111],"4)":[112],"no":[113],"need":[114],"use":[116],"super-efficiency":[117],"models":[118],"rank":[120],"DMUs.":[122],"model":[125],"this":[127],"study":[128],"can":[129],"help":[130],"managers":[131],"evaluate":[133],"performance":[135],"DMUs":[137],"basis":[140],"estimated":[143],"outputs.":[146]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}