Fuzzy programming approach to multi-objective stochastic linear programming problems

1997 ◽  
Vol 88 (2) ◽  
pp. 173-181 ◽  
Author(s):  
Suwarna Hulsurkar ◽  
M.P. Biswal ◽  
S.B. Sinha
Keyword(s):  
Linear Programming ◽  
Fuzzy Programming ◽  
Programming Approach ◽  
Stochastic Linear Programming ◽  
Multi Objective ◽  
Linear Programming Problems

A note on “a multi-objective programming approach to solve grey linear programming”

2018 ◽  
Vol 8 (1) ◽  
pp. 35-45 ◽  
Author(s):  
Amin Mahmoudi ◽  
Mohammad Reza Feylizadeh ◽  
Davood Darvishi
Keyword(s):  
Linear Programming ◽  
Linear Problem ◽  
Grey System Theory ◽  
Correct Solution ◽  
Programming Approach ◽  
Grey System ◽  
Content Type ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Linear Programming Problems

Purpose The purpose of this paper is to examine the shortcomings and problems associated with the method proposed by Razavi Hajiagha et al. (2012). Design/methodology/approach A multi-objective approach is proposed to solve the grey linear programming problems. In this method, the grey linear problem is converted into a multi-objective problem and then solved. Findings According to the numerical example presented in the study by Razavi Hajiagha et al. (2012), this method does not have a correct solution because the solution does not satisfy the constraints and the upper bounds of the variables are equal or less than their lower bound. Originality/value In recent years, various methods have been proposed for solving grey linear programming problems. Razavi Hajiagha et al. (2012) proposed a multi-objective approach to solve grey linear programming problems, but this method does not have a correct solution and using this method in other researches studies can reduce the value of the grey system theory.

Sign in / Sign up

Export Citation Format

Share Document