An adjustable fuzzy chance-constrained network DEA approach with application to ranking investment firms

•Develop a novel Fuzzy Network DEA approach using adjustable possibilistic programming.•Reviews real-world applications of FNDEA literature.•The proposed fuzzy network DEA model is flexible, adjustable, general, and applicable.•The FNDEA method is capable to rank of Two-stage DMUs under fuzzy data.•...

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Vydáno v:	Expert systems with applications Ročník 166; s. 113938
Hlavní autoři:	Peykani, Pejman, Mohammadi, Emran, Emrouznejad, Ali
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Elsevier Ltd 15.03.2021 Elsevier BV
Témata:	Adjustable possibilistic programming Confidence intervals Data analysis Data envelopment analysis Decision making Efficiency Fuzzy chance-constrained programming Fuzzy logic Fuzzy sets Investment Investment firms Linearity Network data envelopment analysis Performance appraisal Portfolio management Ranking Two-stage structure Two-stage structure Fuzzy chance-constrained programming Investment firms Adjustable possibilistic programming Network data envelopment analysis
ISSN:	0957-4174, 1873-6793
On-line přístup:	Získat plný text
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