{"id":"https://openalex.org/W2561876799","doi":"https://doi.org/10.1504/ijads.2016.10001994","title":"Fuzzy stochastic input-oriented primal data envelopment analysis models with application to insurance industry","display_name":"Fuzzy stochastic input-oriented primal data envelopment analysis models with application to insurance industry","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2561876799","doi":"https://doi.org/10.1504/ijads.2016.10001994","mag":"2561876799"},"language":"en","primary_location":{"id":"doi:10.1504/ijads.2016.10001994","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijads.2016.10001994","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/A5016023304","display_name":"Omid Gholami","orcid":"https://orcid.org/0000-0001-9858-3280"},"institutions":[{"id":"https://openalex.org/I4871159","display_name":"University of Mazandaran","ror":"https://ror.org/05fp9g671","country_code":"IR","type":"education","lineage":["https://openalex.org/I4871159"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Omid Gholami","raw_affiliation_strings":["Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran","institution_ids":["https://openalex.org/I4871159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089713497","display_name":"Ali Ebrahimnejad","orcid":"https://orcid.org/0000-0001-6003-6601"},"institutions":[{"id":"https://openalex.org/I4210138903","display_name":"Qaemshahr Islamic Azad University","ror":"https://ror.org/03y0dv989","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210138903"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Ebrahimnejad","raw_affiliation_strings":["Department of Mathematics, Qaemshahr Branch, Islamic Azad University, P.O. Box 163, Qaemshahr, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Qaemshahr Branch, Islamic Azad University, P.O. Box 163, Qaemshahr, Iran","institution_ids":["https://openalex.org/I4210138903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103925109","display_name":"Seyed Hadi Nasseri","orcid":null},"institutions":[{"id":"https://openalex.org/I4871159","display_name":"University of Mazandaran","ror":"https://ror.org/05fp9g671","country_code":"IR","type":"education","lineage":["https://openalex.org/I4871159"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyed Hadi Nasseri","raw_affiliation_strings":["Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Faculty of Mathematical Sciences, University of Mazandaran, Babolsar, Iran","institution_ids":["https://openalex.org/I4871159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3615,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72331994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":"3","first_page":"259","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9728000164031982,"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":0.9728000164031982,"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/randomness","display_name":"Randomness","score":0.8723098039627075},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"Data envelopment analysis","score":0.7747306823730469},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6533375382423401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5579347014427185},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5554380416870117},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.41270744800567627},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33282628655433655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3327562212944031},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3206399083137512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17053136229515076},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1481010615825653}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.8723098039627075},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.7747306823730469},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6533375382423401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5579347014427185},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5554380416870117},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.41270744800567627},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33282628655433655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3327562212944031},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3206399083137512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17053136229515076},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1481010615825653}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijads.2016.10001994","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijads.2016.10001994","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2801360836","https://openalex.org/W3034924094","https://openalex.org/W3094954546","https://openalex.org/W1488708774","https://openalex.org/W2981906196","https://openalex.org/W4391100477","https://openalex.org/W4327779705","https://openalex.org/W1513698804","https://openalex.org/W4310560702","https://openalex.org/W2029712093"],"abstract_inverted_index":{"Data":[0],"envelopment":[1],"analysis":[2],"(DEA)":[3],"is":[4,113,129],"a":[5,49,59,64,86,94,116],"widely":[6],"used":[7],"technique":[8],"for":[9],"measuring":[10],"the":[11,29,33,104,107,126,133,136,139],"relative":[12],"efficiencies":[13],"of":[14,32,76,88,138],"decision":[15,44],"making":[16],"units":[17],"(DMUs)":[18],"with":[19,67,72,119],"multiple":[20,23],"inputs":[21],"and":[22,35,55,74,78,135],"outputs.":[24],"However,":[25],"in":[26,58,125],"real-world":[27],"problems,":[28],"observed":[30],"values":[31],"input":[34,77],"output":[36,79],"data":[37],"are":[38],"often":[39],"vague":[40],"or":[41],"random.":[42],"Indeed,":[43],"makers":[45],"(DMs)":[46],"may":[47],"encounter":[48],"hybrid":[50],"uncertain":[51],"environment":[52],"where":[53],"fuzziness":[54,73],"randomness":[56,75],"coexist":[57],"problem.":[60],"This":[61],"paper":[62],"proposes":[63],"normal":[65,83],"distribution":[66,84],"fuzzy":[68,89,100,109],"components":[69],"to":[70,131],"deal":[71],"data.":[80],"The":[81],"proposed":[82,108,140],"introduces":[85],"class":[87],"random":[90],"variables.":[91,102],"We":[92],"propose":[93],"DEA":[95,111],"model":[96,112,118],"problems":[97],"characterised":[98],"by":[99],"stochastic":[101,110],"Unlike":[103],"existing":[105],"approaches,":[106],"transformed":[114],"into":[115],"deterministic":[117],"linear":[120],"constraints.":[121],"A":[122],"case":[123],"study":[124],"insurance":[127],"industry":[128],"presented":[130],"exhibit":[132],"efficacy":[134],"applicability":[137],"model.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
