Fuzzy optimization
1. Ranking efficient DMUs using the Tchebycheff norm with fuzzy data in DEA

S. H. Mirzaei; A. Salehi

Volume 8, Issue 2 , Spring 2019, , Pages 158-175

http://dx.doi.org/10.22105/riej.2019.169577.1072

Abstract
  In many real applications, the data of production processes cannot be precisely measured. Hence the input and output of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA) may be imprecise or fuzzy-numbered. In original DEA models, inputs and outputs are measured by exact values on a ratio ...  Read More

Data Envelopment Analysis, DEA
2. 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

3. Fuzzy Big-M Method for Solving Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers

A. Hatami; H. Kazemipoor

Volume 2, Issue 3 , Summer 2013, , Pages 1-9

Abstract
  The fuzzy primal simplex method [15] and the fuzzy dual simplex method [17] have been proposed to solve a kind of fuzzy linear programming (FLP) problems involving symmetric trapezoidal fuzzy numbers. The fuzzy simplex method starts with a primal fuzzy basic feasible solution (FBFS) for FLP problem and ...  Read More