Data Envelopment Analysis, DEA
The voting linear assignment method for determining priority and weights in solving MADM problems

Mehdi Soltanifar

Volume 8, Special Issue , November 2021, , Pages 1-17

http://dx.doi.org/10.22105/jarie.2021.268606.1240

Abstract
  Linear Assignment (LAM) is one of the Multi-Attribute Decision Making (MADM) methods that uses integer programming models in the solution process. In this method, only the final priority of the alternatives is determined and the distance between the alternatives is not clear. The purpose of this paper ...  Read More

Data Envelopment Analysis, DEA
The relation between emotional intelligence (EQ) and mathematics performance: a DEA-based approach

Mahnaz Maghbouli; Fatemeh Moradi

Volume 8, Special Issue , November 2021, , Pages 1-14

http://dx.doi.org/10.22105/jarie.2021.274321.1258

Abstract
  Emotional Intelligence (EQ) is considered as an alternative issue in both fields of psychology and education. Studies that have been conducted in this area illustrate the role of EQ and its components in different aspects of one's life such as academic achievement, occupation, and social relationships. ...  Read More

Ranking Organizations On The Basis of Intellectual Capital Indices By Applying DEA: A Case Study of Petrochemical Companies Listed On Tehran Stock Exchange

Esmat Baktash; Behjat Amoushahi; Mohammad Mehdi Behdad

Volume 1, Issue 2 , June 2014, , Pages 59-73

Abstract
  DEA (Data Envelopment Analysis) is a linear programming method whose main purpose is comparing and evaluating a number of similar decision making units with different amounts of input and output. Using this method, one can rank efficient and inefficient companies and then among the efficient companies, ...  Read More

Determining the inefficient space and ranking of DMUs with undesirable outputs

M. Bashirzadeh; S. Daneshvar; N. Azarmir

Volume 1, Issue 1 , March 2014, , Pages 1-11

Abstract
  One of the applications of Data Envelopment Analysis (DEA) is in ranking of Decision Making Units (DMUs). When some DMUs are the same in efficiency score, this ranking results in failure. Various methods are introduced to rank efficient and inefficient DMUs and attempt to give a fully ranking in order ...  Read More

Introducing a nonlinear programming model and using genetic algorithm to rank the alternatives in analytic hierarchy process

Sahar Khoshfetrat; Farhad Hosseinzadeh Lotfi

Volume 1, Issue 1 , March 2014, , Pages 12-18

Abstract
  As ranking is one of the most important issues in data envelopment analysis (DEA), many researchers have comprehensive studies on the subject and presented different approaches. In some papers, DEA and Analytic hierarchy process (AHP) are integrated to rank the alternatives. AHP utilizes pairwise comparisons ...  Read More