Applying MCDEA Models to Rank Decision Making Units with Stochastic Data

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.

GHOFRAN A.; SANEI M.; TOHIDI G.; BEVRANI H.

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

Journal Paper

Paper Information

Journal: International Journal of Industrial Mathematics Year:2021 | Volume:13 | Issue:2 Page(s): 101-111

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Applying MCDEA Models to Rank Decision Making Units with Stochastic Data

Author(s)

GHOFRAN A. | SANEI M. | TOHIDI G. | BEVRANI H. | Issue Writer Certificate

Keywords

Data envelopment analysis (DEA)

Multiple criteria DEA (MCDEA)

Stochastic Data

Ranking

Probability

Abstract

As a technique based on mathematical programming, Data Envelopment Analysis (DEA) is used for evaluating the e ciency of homogeneous Decision Making Units (DMUs). DEA models need accurate input and output data. In many situations, on the one hand, accurate measurement of inputs and outputs is di cult due to their volatility and complexity. This con ict results in uncertain DEA models. Its main problem is transformation of deterministic equivalent of stochastic model into quadratic programming, time-consuming and complexity and it requires presuppositions. By means of Bi-objective multiple criteria DEA (Bio-MCDEA) model that considers Stochastic Data, our proposed model reduces some of these problems and facilitates problem solving through presenting primary presupposition and nal linear model. The e ciency score of DMUs is determined by applying stochastic Bio-MCDEA model. Eventually, we used the data of seventeen Iranian electricity distribution companies to illustrate the methods developed in the present paper.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

GHOFRAN, A., SANEI, M., TOHIDI, G., & BEVRANI, H.. (2021). Applying MCDEA Models to Rank Decision Making Units with Stochastic Data. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 13(2), 101-111. SID. https://sid.ir/paper/969704/en

Vancouver: Copy

GHOFRAN A., SANEI M., TOHIDI G., BEVRANI H.. Applying MCDEA Models to Rank Decision Making Units with Stochastic Data. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2021;13(2):101-111. Available from: https://sid.ir/paper/969704/en

IEEE: Copy

A. GHOFRAN, M. SANEI, G. TOHIDI, and H. BEVRANI, “Applying MCDEA Models to Rank Decision Making Units with Stochastic Data,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 13, no. 2, pp. 101–111, 2021, [Online]. Available: https://sid.ir/paper/969704/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops