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eNauka >  Results >  An improvement on the efficiency bounds and efficiency classifications in DEA with imprecise data
Title: An improvement on the efficiency bounds and efficiency classifications in DEA with imprecise data
Authors: Bohlool Ebrahimi; Tešić, Duško  
Issue Date: 2024
Publication: Big Data and Computing Visions
ISSN: 2783-4956 Search Idenfier
Type: Article
DOI: 10.22105/bdcv.2024.486910.1216
Scopus-ID: 2-s2.0-105003187332
URI: https://enauka.gov.rs/handle/123456789/958883
URL: https://doi.org/10.22105/bdcv.2024.486910.1216
Metadata source: (Preuzeto iz ORCID-a) Tešić, Duško
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