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)
1. A method for solving fully fuzzy linear system with trapezoidal fuzzy numbers

A. Kumar; A. Bansal; A. Neetu

Volume 4, Issue 2 , Summer 2012, Pages 312-323

Abstract
  Different methods have been proposed for finding the non-negative solution of fully fuzzy linear system (FFLS) i.e. fuzzy linear system with fuzzy coefficients involving fuzzy variables. To the best of our knowledge, there is no method in the literature for finding the non-negative solution ...  Read More

Data Envelopment Analysis
2. Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)

K. Shahroudi; Sh. Assimi

Volume 4, Issue 2 , Summer 2012, Pages 324-335

Abstract
  Performance evaluation has been developed in the form of management schools along by managerial thought development. Banks and financial institutes are one of the most important economic sections to each country which by receipts and payments directing and organizing facilitate business ...  Read More

Data Envelopment Analysis
3. Inverse DEA Model with Fuzzy Data for Output Estimation

A. Mahmoodi Rad; R. Dehghan; F. Hosseinzadeh Lotfi

Volume 4, Issue 2 , Summer 2012, Pages 336-353

Abstract
  In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.  Read More

Data Envelopment Analysis
4. Improving supply chain collaborations and performance of inefficient supply chain

M. Sanei; S. Mamizadeh-Chatghayeh

Volume 4, Issue 2 , Summer 2012, Pages 354-360

Abstract
  Modern manufacturing enterprises are required to collaborate by their business partners through their business process operations such as design, manufacture, distribution, and aftersales services. And furthermore performance evaluation is of great importance for effective supply chain ...  Read More