{"id":"https://openalex.org/W2023310494","doi":"https://doi.org/10.1109/etfa.2012.6489600","title":"A cross efficiency fuzzy Data Envelopment Analysis technique for supplier evaluation under uncertainty","display_name":"A cross efficiency fuzzy Data Envelopment Analysis technique for supplier evaluation under uncertainty","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2023310494","doi":"https://doi.org/10.1109/etfa.2012.6489600","mag":"2023310494"},"language":"en","primary_location":{"id":"doi:10.1109/etfa.2012.6489600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2012.6489600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)","raw_type":"proceedings-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/A5110168503","display_name":"Nicola Costantino","orcid":null},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"N. Costantino","raw_affiliation_strings":["Dept. of Mech. & Manage. Eng., Politec. di Bari, Bari, Italy","Politecnico di Bari, Bari, Puglia, IT"],"affiliations":[{"raw_affiliation_string":"Dept. of Mech. & Manage. Eng., Politec. di Bari, Bari, Italy","institution_ids":[]},{"raw_affiliation_string":"Politecnico di Bari, Bari, Puglia, IT","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013936778","display_name":"Mariagrazia Dotoli","orcid":"https://orcid.org/0000-0003-1459-3452"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Dotoli","raw_affiliation_strings":["Dept. of Electrotechnics & Electron., Politec. di Bari, Bari, Italy","Dept. of Electrotechnics & Electron., Politec. di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrotechnics & Electron., Politec. di Bari, Bari, Italy","institution_ids":[]},{"raw_affiliation_string":"Dept. of Electrotechnics & Electron., Politec. di Bari, Bari, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nicola Epicoco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicola Epicoco","raw_affiliation_strings":["Dept. of Electrotechnics & Electron., Politec. di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrotechnics & Electron., Politec. di Bari, Bari, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marco Falagario","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco Falagario","raw_affiliation_strings":["Dept. of Mech. & Manage. Eng., Politec. di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Mech. & Manage. Eng., Politec. di Bari, Bari, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Fabio Sciancalepore","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabio Sciancalepore","raw_affiliation_strings":["Dept. of Mech. & Manage. Eng., Politec. di Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Mech. & Manage. Eng., Politec. di Bari, Bari, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110168503"],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":1.5995,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8434087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9961000084877014,"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":0.9961000084877014,"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":0.9940999746322632,"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/T10164","display_name":"Quality and Supply Management","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"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":0.9226409196853638},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6897665858268738},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6756665706634521},{"id":"https://openalex.org/keywords/supplier-evaluation","display_name":"Supplier evaluation","score":0.6468180418014526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.641181230545044},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5771672129631042},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5749292373657227},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5115974545478821},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.5054385662078857},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49063411355018616},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.459576815366745},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.41012927889823914},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3828775882720947},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3112906813621521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21140694618225098},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.1600293517112732},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15833503007888794},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12360075116157532},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.10827341675758362}],"concepts":[{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.9226409196853638},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6897665858268738},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6756665706634521},{"id":"https://openalex.org/C2778897053","wikidata":"https://www.wikidata.org/wiki/Q125783","display_name":"Supplier evaluation","level":4,"score":0.6468180418014526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.641181230545044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5771672129631042},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5749292373657227},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5115974545478821},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.5054385662078857},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49063411355018616},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.459576815366745},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.41012927889823914},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3828775882720947},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3112906813621521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21140694618225098},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.1600293517112732},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15833503007888794},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12360075116157532},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.10827341675758362},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/etfa.2012.6489600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/etfa.2012.6489600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6800000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W72569644","https://openalex.org/W1513931578","https://openalex.org/W1965333904","https://openalex.org/W1971984261","https://openalex.org/W1992691743","https://openalex.org/W1994580593","https://openalex.org/W2002023758","https://openalex.org/W2003074920","https://openalex.org/W2008315929","https://openalex.org/W2008414351","https://openalex.org/W2010176285","https://openalex.org/W2012651708","https://openalex.org/W2013423727","https://openalex.org/W2021951270","https://openalex.org/W2031024216","https://openalex.org/W2038599921","https://openalex.org/W2045126677","https://openalex.org/W2049022210","https://openalex.org/W2056441932","https://openalex.org/W2058352759","https://openalex.org/W2068363131","https://openalex.org/W2074997807","https://openalex.org/W2075707181","https://openalex.org/W2076452041","https://openalex.org/W2078792730","https://openalex.org/W2080927129","https://openalex.org/W2082361490","https://openalex.org/W2096768134","https://openalex.org/W2097359812","https://openalex.org/W2105425187","https://openalex.org/W2122892941","https://openalex.org/W2123464072","https://openalex.org/W2128823319","https://openalex.org/W2151739142","https://openalex.org/W2261240608","https://openalex.org/W2404391746","https://openalex.org/W3125546396","https://openalex.org/W6630735120","https://openalex.org/W6712964555"],"related_works":["https://openalex.org/W2243235453","https://openalex.org/W2575034914","https://openalex.org/W2350527959","https://openalex.org/W2049019028","https://openalex.org/W2625368064","https://openalex.org/W1967167012","https://openalex.org/W4205416192","https://openalex.org/W2977225035","https://openalex.org/W2072917595","https://openalex.org/W2000054158"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,43,47,56,69],"novel":[3],"cross":[4,44],"efficiency":[5,36],"fuzzy":[6,29,34],"Data":[7],"Envelopment":[8],"Analysis":[9],"(DEA)":[10],"technique":[11],"for":[12],"supplier":[13,41,57],"selection":[14],"under":[15],"uncertainty.":[16],"In":[17],"order":[18],"to":[19,39,65],"deal":[20],"with":[21],"uncertain":[22],"input":[23],"and":[24,55,83],"output":[25],"suppliers":[26,73],"data,":[27],"triangular":[28,35],"numbers":[30],"are":[31,53],"employed.":[32],"A":[33],"is":[37,59,63],"associated":[38],"each":[40],"through":[42],"evaluation":[45,67],"by":[46],"compromise":[48],"between":[49],"objectives.":[50],"The":[51,61],"results":[52],"defuzzified":[54],"ranking":[58],"determined.":[60],"method":[62],"applied":[64],"the":[66,79],"of":[68,71,74,81],"set":[70],"candidate":[72],"an":[75],"Italian":[76],"SME,":[77],"showing":[78],"ease":[80],"application":[82],"discriminative":[84],"power":[85],"among":[86],"suppliers.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}