EFFICIENCY ANALYSIS BASED ON SEPARATING HYPERPLANES FOR IMPROVING DISCRIMINATION AMONG DMUS

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.

MOHAMMADPOUR MANSOUR

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

Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS Year:2015 | Volume:3 | Issue:3 (11) Page(s): 767-776

Download Full-Text

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

Persian Verion

View:

577

Download:

146

Cites:

Information Journal Paper

Title

EFFICIENCY ANALYSIS BASED ON SEPARATING HYPERPLANES FOR IMPROVING DISCRIMINATION AMONG DMUS

Author(s)

MOHAMMADPOUR MANSOUR | Issue Writer Certificate

Keywords

DATA ENVELOPMENT ANALYSISQ2

EFFICIENCY ANALYSISQ2

VARIABLE RETURN TO SCALEQ2

SEPARATION HYPERPLANESQ2

DISCRIMINATION POWERQ2

Abstract

DATA ENVELOPMENT ANALYSIS (DEA) is a non-parametric method for evaluating the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. The original DEA models use positive input and output variables that are measured on a ratio scale, but these models do not apply to the variables in which interval scale data can appear. However, with the widespread use of interval scale data, the emphasis has been directed towards the simultaneous consideration of the ratio and interval scale data in DEA models. This study, introduces a measure of inefficiency and identifies efficient units as is done in DEA models with VRS technology based on separating hyper planes. The basic idea in the approach is to obtain a separating hyperplane of DMUs so that the hyper plane can separate the maximum number of DMUs whose performances are not better than a DMU under evaluation, from the rest of the DMUs. Performance measure is defined as a ratio of not-better units to all units. Also, this paper presents a relationship between the performance measures with those in DEA models with VRS technology.

Cites

No record.

References

No record.

Cite

APA: Copy

MOHAMMADPOUR, MANSOUR. (2015). EFFICIENCY ANALYSIS BASED ON SEPARATING HYPERPLANES FOR IMPROVING DISCRIMINATION AMONG DMUS. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, 3(3 (11)), 767-776. SID. https://sid.ir/paper/242712/en

Vancouver: Copy

MOHAMMADPOUR MANSOUR. EFFICIENCY ANALYSIS BASED ON SEPARATING HYPERPLANES FOR IMPROVING DISCRIMINATION AMONG DMUS. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS[Internet]. 2015;3(3 (11)):767-776. Available from: https://sid.ir/paper/242712/en

IEEE: Copy

MANSOUR MOHAMMADPOUR, “EFFICIENCY ANALYSIS BASED ON SEPARATING HYPERPLANES FOR IMPROVING DISCRIMINATION AMONG DMUS,” INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, vol. 3, no. 3 (11), pp. 767–776, 2015, [Online]. Available: https://sid.ir/paper/242712/en

Related Journal Papers