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A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis

by Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 5
Year of Publication: 2012
Authors: Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail
10.5120/5537-7589

Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail . A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis. International Journal of Computer Applications. 41, 5 ( March 2012), 21-26. DOI=10.5120/5537-7589

@article{ 10.5120/5537-7589,
author = { Ahmad A. Maidamisa, Rohanin Ahmad, Abdul. A. M. Ismail },
title = { A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 5 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number5/5537-7589/ },
doi = { 10.5120/5537-7589 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:28:50.135145+05:30
%A Ahmad A. Maidamisa
%A Rohanin Ahmad
%A Abdul. A. M. Ismail
%T A Comparative Analysis of Window Width Selection Technique in Data Envelopment Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 5
%P 21-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The aim of this paper is to develop a methodology for the selection of window width in Data Envelopment Analysis (DEA). Analytical hierarchal process (AHP) is employed to achieve that purpose. Using panel data, the selected width is experimented with factual data, and results show robustness to efficiency assessment. This paper is the first to use AHP approach in the selection of a window width in DEA window analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Envelopment Analysis Window Analysis Efficiency

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