Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Data Envelopment Analysis
1. The interval Malmquist productivity index in DEA

F. Rezai Balf; F. Hosseinzadeh Lotfi; M. Alizadeh Afrouzi

Volume 4, Issue 1 , Winter 2012, Pages 272-281

Abstract
  One of the most popular approaches to measuring productivity changes is based on using Malmquist productivity indexes. In this paper we propose a method for obtaining interval Malmquist productivity index (IMPI). The classical DEA models have been before used for measuring the Malmquist ...  Read More

Data Envelopment Analysis
2. Portfolio Selection using Data Envelopment Analysis with common weights

A. Alinezhad; M. Zohrebandian; F. Dehdar

Volume 4, Issue 1 , Winter 2012, Pages 282-291

Abstract
  The stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. This paper presents a methodology based on Data Envelopment Analysis for portfolio selection, decision making units ...  Read More

Data Envelopment Analysis
3. Some Results on facets for linear inequality in 0-1 variables

D. Sashi Bhusan; B. Bagaban; J.P. Tripathy

Volume 4, Issue 1 , Winter 2012, Pages 292-303

Abstract
  The facet of Knapsack ploytope, i.e. convex hull of 0-1 points satisfying a given linear inequality has been presented in this current paper. Such type of facets plays an important role in set covering set partitioning, matroidal-intersection vertex- packing, generalized assignment and ...  Read More

Data Envelopment Analysis
4. The cost and income efficiency models with MOLP structure

G.R. Jahanshahloo; M.R Mozaffari; Z. Sobhan

Volume 4, Issue 1 , Winter 2012, Pages 304-311

Abstract
  In this paper, the cost and income efficiency models have been considered with regard to the multiple objective programming structures. For finding the efficient points in purposed MOLP problem, some various methods like Lexicography & the weighted sum can be used. So by introducing ...  Read More