Evaluating decision-making units under uncertainty using fuzzy multi-objective nonlinear programming

This paper proposes a new method to evaluate decision-making units (DMUs) under uncertainty using fuzzy data envelopment analysis (DEA). In the proposed multi-objective nonlinear programming methodology, both the objective functions and the constraints are considered fuzzy. This model is comprehensi...

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Vydané v:	INFOR. Information systems and operational research Ročník 55; číslo 1; s. 1 - 15
Hlavní autori:	Zerafat Angiz, Madjid Langroudi, Nawawi, Mohd Kamal Mohd, Khalid, Ruzelan, Mustafa, Adli, Emrouznejad, Ali, John, Robert, Kendall, Graham
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 01.01.2017
Predmet:	Fuzzy DEA fuzzy multi-objective linear programming membership function possibility programming
ISSN:	0315-5986, 1916-0615
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