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Performance evaluation for Egyptian’s Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 5
Year of Publication: 2014
Authors:
Basma E. El-demerdash
Ihab A. El-khodary
Assem A. Tharwat
10.5120/15500-4205

Basma E El-demerdash, Ihab A El-khodary and Assem A Tharwat. Article: Performance evaluation for Egyptians Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model. International Journal of Computer Applications 89(5):36-42, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Basma E. El-demerdash and Ihab A. El-khodary and Assem A. Tharwat},
	title = {Article: Performance evaluation for Egyptians Computers and Information Faculties: Using a Stochastic Input Oriented Data Envelopment Analysis Model},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {5},
	pages = {36-42},
	month = {March},
	note = {Full text available}
}

Abstract

Data Envelopment Analysis (DEA) is a great approach used for measuring relative efficiencies and performance of a collection of Decision Making Units (DMUs). These used in the various forms, such as hospitals, universities, air force, banks, courts, business firms, and others, including the performance of countries, regions, etc. One of the earliest applications of DEA called Education. It was an ideal introduction for DEA because it typically deals with comparisons of many similar and autonomous 'non-profit' entities described by inputs and outputs. Therefore, education served to test and validate DEA as a tool for analysis and decision support. Recently DEA has been extended to examine the efficiency of Higher Education operations. In this paper, a Stochastic Input Oriented Data Envelopment Analysis (SIODEA) Model is conducted for the comparison of evaluating the relative efficiency scores of Faculties of Computers and Information (FCIs) each with some of inputs are stochastic with normally distributed, recent inputs are deterministic and outputs.

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