{"id":"https://openalex.org/W4387978490","doi":"https://doi.org/10.7546/nifs.2023.29.3.298-317","title":"Development of intuitionistic fuzzy cost efficiency model in data envelopment analysis","display_name":"Development of intuitionistic fuzzy cost efficiency model in data envelopment analysis","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4387978490","doi":"https://doi.org/10.7546/nifs.2023.29.3.298-317"},"language":"en","primary_location":{"id":"doi:10.7546/nifs.2023.29.3.298-317","doi":"https://doi.org/10.7546/nifs.2023.29.3.298-317","is_oa":true,"landing_page_url":"http://dx.doi.org/10.7546/nifs.2023.29.3.298-317","pdf_url":"https://ifigenia.org/images/9/95/NIFS-29-3-298-317.pdf","source":{"id":"https://openalex.org/S4210236489","display_name":"Notes on Intuitionistic Fuzzy Sets","issn_l":"1310-4926","issn":["1310-4926","2367-8283"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"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":"Notes on Intuitionistic Fuzzy Sets","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ifigenia.org/images/9/95/NIFS-29-3-298-317.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044009158","display_name":"Anjali Sonkariya","orcid":"https://orcid.org/0000-0002-9305-5734","observed_orcids":["https://orcid.org/0000-0002-9305-5734"]},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anjali Sonkariya","raw_affiliation_strings":["Department of Mathematics , Indian Institute of Technology Roorkee , India","Department of Mathematics, Indian Institute of Technology Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-9305-5734","affiliations":[{"raw_affiliation_string":"Department of Mathematics , Indian Institute of Technology Roorkee , India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Mathematics, Indian Institute of Technology Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016008617","display_name":"Shiv Prasad Yadav","orcid":"https://orcid.org/0000-0002-0129-3736","observed_orcids":["https://orcid.org/0000-0002-0129-3736"]},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shiv Prasad Yadav","raw_affiliation_strings":["Department of Mathematics , Indian Institute of Technology Roorkee , India","Department of Mathematics, Indian Institute of Technology Roorkee, India"],"raw_orcid":"https://orcid.org/0000-0002-0129-3736","affiliations":[{"raw_affiliation_string":"Department of Mathematics , Indian Institute of Technology Roorkee , India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Mathematics, Indian Institute of Technology Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5044009158"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16886333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"3","first_page":"298","last_page":"317"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9437999725341797,"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":0.9437999725341797,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.03929999843239784,"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":0.012500000186264515,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intuitionistic-fuzzy-sets","display_name":"intuitionistic fuzzy sets","score":0.8579999804496765},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"data envelopment analysis","score":0.9319999814033508},{"id":"https://openalex.org/keywords/cost-efficiency","display_name":"cost efficiency","score":0.6919999718666077},{"id":"https://openalex.org/keywords/decision-making-units","display_name":"decision making units","score":0.7889999747276306},{"id":"https://openalex.org/keywords/triangular-intuitionistic-fuzzy-numbers","display_name":"triangular intuitionistic fuzzy numbers","score":0.9290000200271606},{"id":"https://openalex.org/keywords/alpha-cuts","display_name":"alpha-cuts","score":0.6949999928474426},{"id":"https://openalex.org/keywords/input-prices","display_name":"input prices","score":0.5609999895095825}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.8902384638786316},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5891857743263245},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5718231201171875},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5281838178634644},{"id":"https://openalex.org/C17648541","wikidata":"https://www.wikidata.org/wiki/Q2265984","display_name":"Efficiency","level":3,"score":0.5149989128112793},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5073389410972595},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.48138025403022766},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46934640407562256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46607041358947754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41849082708358765},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3568650484085083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3399115204811096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16464495658874512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1501321792602539},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.7546/nifs.2023.29.3.298-317","doi":"https://doi.org/10.7546/nifs.2023.29.3.298-317","is_oa":true,"landing_page_url":"http://dx.doi.org/10.7546/nifs.2023.29.3.298-317","pdf_url":"https://ifigenia.org/images/9/95/NIFS-29-3-298-317.pdf","source":{"id":"https://openalex.org/S4210236489","display_name":"Notes on Intuitionistic Fuzzy Sets","issn_l":"1310-4926","issn":["1310-4926","2367-8283"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"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":"Notes on Intuitionistic Fuzzy Sets","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a48c0fec2f14c55a7c8f8787a010c0d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/7a48c0fec2f14c55a7c8f8787a010c0d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Notes on IFS, Vol 29, Iss 3, Pp 298-317 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.7546/nifs.2023.29.3.298-317","doi":"https://doi.org/10.7546/nifs.2023.29.3.298-317","is_oa":true,"landing_page_url":"http://dx.doi.org/10.7546/nifs.2023.29.3.298-317","pdf_url":"https://ifigenia.org/images/9/95/NIFS-29-3-298-317.pdf","source":{"id":"https://openalex.org/S4210236489","display_name":"Notes on Intuitionistic Fuzzy Sets","issn_l":"1310-4926","issn":["1310-4926","2367-8283"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"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":"Notes on Intuitionistic Fuzzy Sets","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387978490.pdf","grobid_xml":"https://content.openalex.org/works/W4387978490.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1976920082","https://openalex.org/W2004755379","https://openalex.org/W2038879196","https://openalex.org/W2076452041","https://openalex.org/W2129763896","https://openalex.org/W2162180338","https://openalex.org/W2277413556","https://openalex.org/W2553029177","https://openalex.org/W2560675735","https://openalex.org/W2605905388","https://openalex.org/W2791454387","https://openalex.org/W2891492643","https://openalex.org/W3169635781","https://openalex.org/W3174711022","https://openalex.org/W4231743109","https://openalex.org/W4289254296","https://openalex.org/W6645451138","https://openalex.org/W6758652401"],"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/W2354788275","https://openalex.org/W2154914552","https://openalex.org/W2362969283"],"abstract_inverted_index":{"Data":[0],"envelopment":[1],"analysis":[2],"(DEA)":[3],"is":[4,29,90,147],"a":[5,144],"non-parametric":[6],"linear":[7],"programming":[8],"(LP)":[9],"based":[10],"technique":[11],"to":[12,41,49,92],"measure":[13],"the":[14,42,55,68,82,96,132,136],"relative":[15,69],"efficiencies":[16,70],"of":[17,44,57,71,88,135],"decision-making":[18],"units":[19],"(DMUs).":[20],"The":[21,109],"conventional":[22,83],"DEA":[23,89],"models":[24,101,142],"assume":[25],"that":[26],"input-output":[27],"data":[28,75,110],"crisp,":[30],"which":[31],"may":[32],"not":[33],"always":[34],"be":[35,77],"feasible":[36],"in":[37,123],"practical":[38,133],"situations":[39],"due":[40],"presence":[43],"ambiguity":[45],"and":[46,52,98,106,114],"imprecision.":[47],"Therefore,":[48],"handle":[50],"uncertain":[51,74],"imprecise":[53],"data,":[54],"concept":[56],"intuitionistic":[58,119,126,138],"fuzzy":[59,120,127,139],"sets":[60],"(IFS)":[61],"has":[62],"been":[63],"introduced.":[64],"In":[65],"this":[66,80],"study,":[67],"DMUs":[72],"with":[73],"will":[76],"determined.":[78],"For":[79],"reason,":[81],"cost":[84,140],"efficiency":[85,100,141],"(CE)":[86],"model":[87],"extended":[91],"IF":[93],"environment.":[94],"Also,":[95],"lower":[97],"upper-cost":[99],"are":[102,117],"developed":[103],"using":[104],"\u03b1-cut":[105],"\u03b2-cut":[107],"approach.":[108],"for":[111],"inputs,":[112],"outputs":[113],"input":[115],"prices":[116],"considered":[118],"numbers":[121,128],"(IFNs),":[122],"particular":[124],"triangular":[125],"(TIFNs).":[129],"To":[130],"demonstrate":[131],"application":[134],"proposed":[137],"(IFCEMs),":[143],"numerical":[145],"example":[146],"presented.":[148]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
