Measurement of the worst practice of decision-making units: Incorporating both undesirable outputs and non-discretionary inputs into imprecise DEA

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AZIZI HOSSEIN; AMIRTEIMOORI ALIREZA; KORDROSTAMI SOHRAB

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: MODERN RESEARCHES IN DECISION MAKING Year:2018 | Volume:3 | Issue:2 Page(s): 197-222

Download Full-Text

Persian Verion

View:

333

Download:

Cites:

Information Journal Paper

Title

Measurement of the worst practice of decision-making units: Incorporating both undesirable outputs and non-discretionary inputs into imprecise DEA

Author(s)

AZIZI HOSSEIN | AMIRTEIMOORI ALIREZA | KORDROSTAMI SOHRAB | Issue Writer Certificate

Keywords

Data Envelopment AnalysisQ1

pessimistic efficienciesQ1

Performance EvaluationQ2

imprecise dataQ1

Abstract

There are two difficulties in implementing an objective evaluation of the performance of decision-making units (DMUs). The first one is how to treat undesirable outputs jointly produced with the desirable outputs, and the second one is how to treat uncontrollable variables, which often capture the impact of the operating environment. Given difficulties in both model construction and data availability, very few published papers simultaneously consider the above two problems. The objective of the present paper is to propose a novel pair of Data Envelopment Analysis (DEA) models for measurement of relative efficiencies of DMUs in the presence of non-discretionary factors, undesirable factors, and imprecise data. Compared to traditional DEA, the proposed DEA approach measures the efficiency of each DMU relative to the worst practice frontier, also called the input frontier, and is called the worst relative efficiency or pessimistic efficiency. The pair of proposed DEA models simultaneously takes into account the crisp data, ordinal preference information, and interval data, as well as undesirable factors and non-discretionary factors, for measurement of relative efficiencies of DMUs. The results of this study are not only useful for the Performance Evaluation method, but also have policy implications for industrial and academic researchers. A numeric example has been provided to illustrate the applicability of the DEA models.

Cites

No record.

References

No record.

Cite

APA: Copy

AZIZI, HOSSEIN, AMIRTEIMOORI, ALIREZA, & KORDROSTAMI, SOHRAB. (2018). Measurement of the worst practice of decision-making units: Incorporating both undesirable outputs and non-discretionary inputs into imprecise DEA. MODERN RESEARCHES IN DECISION MAKING, 3(2 ), 197-222. SID. https://sid.ir/paper/369378/en

Vancouver: Copy

AZIZI HOSSEIN, AMIRTEIMOORI ALIREZA, KORDROSTAMI SOHRAB. Measurement of the worst practice of decision-making units: Incorporating both undesirable outputs and non-discretionary inputs into imprecise DEA. MODERN RESEARCHES IN DECISION MAKING[Internet]. 2018;3(2 ):197-222. Available from: https://sid.ir/paper/369378/en

IEEE: Copy

HOSSEIN AZIZI, ALIREZA AMIRTEIMOORI, and SOHRAB KORDROSTAMI, “Measurement of the worst practice of decision-making units: Incorporating both undesirable outputs and non-discretionary inputs into imprecise DEA,” MODERN RESEARCHES IN DECISION MAKING, vol. 3, no. 2 , pp. 197–222, 2018, [Online]. Available: https://sid.ir/paper/369378/en

Related Journal Papers