An overview of data envelopment analysis models in fuzzy stochastic environments

One of the appropriate and efficient tools in the field of productivity measurement and evaluation is data envelopment analysis, which is used as a non-parametric method to calculate the efficiency of decision-making units. Today, the use of data envelopment analysis technique is expanding rapidly a...

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Autor principal:	Fatemeh Zahra Montazeri
Formato:	article
Lenguaje:	EN
Publicado:	Ayandegan Institute of Higher Education, 2020
Materias:	decision-making efficiency stochastic fuzzy dea Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/c9625972f33745e5b4be7de27bd64427
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id	oai:doaj.org-article:c9625972f33745e5b4be7de27bd64427
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spelling	oai:doaj.org-article:c9625972f33745e5b4be7de27bd644272021-11-13T08:42:02ZAn overview of data envelopment analysis models in fuzzy stochastic environments2783-14422717-345310.22105/jfea.2020.258330.1030https://doaj.org/article/c9625972f33745e5b4be7de27bd644272020-12-01T00:00:00Zhttp://www.journal-fea.com/article_120094_ec0cdfd707a013ee562159c2aee15768.pdfhttps://doaj.org/toc/2783-1442https://doaj.org/toc/2717-3453One of the appropriate and efficient tools in the field of productivity measurement and evaluation is data envelopment analysis, which is used as a non-parametric method to calculate the efficiency of decision-making units. Today, the use of data envelopment analysis technique is expanding rapidly and is used in the evaluation of various organizations and industries such as banks, postal service, hospitals, training centers, power plants, refineries, etc.In real-world problems, the values observed from input and output data are often ambiguous and random. To solve this problem, data envelopment analysis in stochastic fuzzy environment was proposed. Although the DEA has many advantages, one of the disadvantages of this method is that the classic DEA does not actually give us a definitive conclusion and does not allow random changes in input and output. In this paper, we review some of the proposed models in data envelopment analysis with fuzzy and random inputs and outputs.Fatemeh Zahra MontazeriAyandegan Institute of Higher Education,articledecision-makingefficiencystochastic fuzzy deaMathematicsQA1-939ENJournal of Fuzzy Extension and Applications, Vol 1, Iss 4, Pp 272-278 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	decision-making efficiency stochastic fuzzy dea Mathematics QA1-939
spellingShingle	decision-making efficiency stochastic fuzzy dea Mathematics QA1-939 Fatemeh Zahra Montazeri An overview of data envelopment analysis models in fuzzy stochastic environments
description	One of the appropriate and efficient tools in the field of productivity measurement and evaluation is data envelopment analysis, which is used as a non-parametric method to calculate the efficiency of decision-making units. Today, the use of data envelopment analysis technique is expanding rapidly and is used in the evaluation of various organizations and industries such as banks, postal service, hospitals, training centers, power plants, refineries, etc.In real-world problems, the values observed from input and output data are often ambiguous and random. To solve this problem, data envelopment analysis in stochastic fuzzy environment was proposed. Although the DEA has many advantages, one of the disadvantages of this method is that the classic DEA does not actually give us a definitive conclusion and does not allow random changes in input and output. In this paper, we review some of the proposed models in data envelopment analysis with fuzzy and random inputs and outputs.
format	article
author	Fatemeh Zahra Montazeri
author_facet	Fatemeh Zahra Montazeri
author_sort	Fatemeh Zahra Montazeri
title	An overview of data envelopment analysis models in fuzzy stochastic environments
title_short	An overview of data envelopment analysis models in fuzzy stochastic environments
title_full	An overview of data envelopment analysis models in fuzzy stochastic environments
title_fullStr	An overview of data envelopment analysis models in fuzzy stochastic environments
title_full_unstemmed	An overview of data envelopment analysis models in fuzzy stochastic environments
title_sort	overview of data envelopment analysis models in fuzzy stochastic environments
publisher	Ayandegan Institute of Higher Education,
publishDate	2020
url	https://doaj.org/article/c9625972f33745e5b4be7de27bd64427
work_keys_str_mv	AT fatemehzahramontazeri anoverviewofdataenvelopmentanalysismodelsinfuzzystochasticenvironments AT fatemehzahramontazeri overviewofdataenvelopmentanalysismodelsinfuzzystochasticenvironments
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An overview of data envelopment analysis models in fuzzy stochastic environments

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