Data Envelopment Analysis, DEA
1. A new model to measuring efficiency and returns to scale on data envelopment analysis

Abbasali Monzeli; Behrouz Daneshian; Gasem Tohidi; Shabnam Razavian; Masud Sanei

Volume 10, Issue 2 , Spring 2021, , Pages 128-137

http://dx.doi.org/10.22105/riej.2021.272673.1186

Abstract
  We extend the concept of returns to scale in Data Envelopment Analysis (DEA) to the weight restriction environments. By adding weight restrictions, the status of returns to scale, i.e. increasing, constant, and decreasing, may need a change. We first define "returns to scale" underweight restrictions ...  Read More

Data Envelopment Analysis, DEA
2. The survey of data envelopment analysis models in fuzzy stochastic environments

F. Z. Montazeri

Volume 8, Issue 4 , Autumn 2019, , Pages 366-383

http://dx.doi.org/10.22105/riej.2020.219518.1121

Abstract
  One of the best techniques for evaluating the performance of organizations is data envelopment analysis. Data Envelopment Analysis (DEA) is a non-parametric method for evaluating the performance of decision-making units (DMUs) that recognizes the relative performance of DMUs based on mathematical programming. ...  Read More

Data Envelopment Analysis, DEA
3. Investment projects ranking with DEA method considering feasibility study results

M. V. Sebt; M. N. Juybari; V. R. Soleymanfar

Volume 7, Issue 3 , Autumn 2018, , Pages 320-335

http://dx.doi.org/10.22105/riej.2018.147016.1058

Abstract
  According to the increasing need of industry to financiers and investors in order to incorporate and encouraging them to invest in various fields of industry, the necessity of a method to help investors for making a decision has emphasized. We present a method which tries to omit to apply personally ...  Read More

Data Envelopment Analysis, DEA
4. Determine the Efficiency of Time Depended Units by Using Data Envelopment Analysis

Z. Taeb; F. Hosseinzadeh Lotfi; S. Abbasbandy

Volume 6, Issue 3 , Autumn 2017, , Pages 193-201

http://dx.doi.org/10.22105/riej.2017.49156

Abstract
  In the last years, several techniques have been reported for managing a system and recognition of the related decision making units. One of them is based on mathematical modeling. Efficiency of any system is very important for all decision makings. Often applied data have time dependent inputs/ outputs. ...  Read More

Fuzzy optimization
5. Organizational Performance Evaluation Considering Human Capital Management Approach by Fuzzy-DEA: A Case Study

M. M. Tavakoli; B. Molavi; H. Shirouyehzad

Volume 6, Issue 1 , Winter 2017, , Pages 1-16

http://dx.doi.org/10.22105/riej.2017.48022

Abstract
  In recent years, researchers in their studies considered human capital as one of the most important capitals of every organization and even some of them placed it beyond this definition and introduced it as the unique factor of creating the competitive advantage in the organization. Due to the importance ...  Read More

Data Envelopment Analysis, DEA
6. The Methods of Ranking based Super Efficiency

M. Nayebi; F Hosseinzadeh Lotfi

Volume 5, 1(4) , Autumn 2016, , Pages 43-66

http://dx.doi.org/10.22105/riej.2017.49169

Abstract
  The science of Data Envelopment Analysis (DEA) evaluates the effectiveness of decision making units. But, one of the problems of Data Envelopment Analysis (DEA) is that, if the number of units with the same efficiency equal to one was more than one, then we couldn’t select the best between them. ...  Read More

Data Envelopment Analysis, DEA
7. Assess the efficiency and effectiveness simultaneously in a three-stage process, by using a unified model

F Hosseinzadeh Lotfi; M. Jahanbakhsh

Volume 4, 1(4) , Autumn 2015, , Pages 15-23

http://dx.doi.org/10.22105/riej.2017.49165

Abstract
  By distinction between efficiency and effectiveness scales, the aim of this paper is to propose a model that can show the differents of efficiency and effectiveness. For this purpose, enveloping form of ICCR model ,has considered to calculate simultaneously the influences of efficiency and effectiveness. ...  Read More