Next Article in Journal
An Approach to the Support of the Fault-Tolerance of the Double Redundant Computer Control Systems
Previous Article in Journal
Prediction of Head, Efficiency, and Power Characteristics in a Semi-Open Impeller
Article Menu

Article Versions

Export Article

Open AccessArticle
Math. Comput. Appl. 2010, 15(1), 148-155; doi:10.3390/mca15010148

Ranking Decision Making Units with Stochastic Data by Using Coefficient of Variation

1
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2
Department of Statistics, Faculty of Economics, Allameh Tabataba'i University, Tehran, Iran
3
Ph.D Student, Department of Statistics, Science and Research Branch, Islamic Azad University, 1477893855, Tehran, Iran
*
Author to whom correspondence should be addressed.
Published: 1 April 2010
Download PDF [145 KB, uploaded 1 April 2016]

Abstract

Data Envelopment Analysis (DEA) is a non-parametric technique which is based on mathematical programming for evaluating the efficiency of a set of Decision Making Units (DMUs). Throughout applications, managers encounter with stochastic data and the necessity of having a method that is able to evaluate efficiency and rank efficient units has been under consideration. In this paper considering the concept of coefficient of variation among efficient DMUs, two ranking methods has been proposed. Within these ranking methods, a DMU will have a higher rank if it's coefficient of variation be smaller. These methods are suitable when managers are able to determine weights on coefficient of variations or on inputs and outputs. At the end we applied these methods on a numerical example.
Keywords: Coefficient of variation; Data envelopment analysis; Ranking Coefficient of variation; Data envelopment analysis; Ranking
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lotfi, F.H.; Nematollahi, N.; Behzadi, M.; Mirbolouki, M. Ranking Decision Making Units with Stochastic Data by Using Coefficient of Variation. Math. Comput. Appl. 2010, 15, 148-155.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top