An interactive fuzzy satisficing method for generalized multiobjective linear programming problems with fuzzy parameters

1990 ◽  
Vol 35 (2) ◽  
pp. 125-142 ◽  
Author(s):  
Masatoshi Sakawa ◽  
Hitoshi Yano
2007 ◽  
Vol 24 (04) ◽  
pp. 557-573 ◽  
Author(s):  
M. ZANGIABADI ◽  
H. R. MALEKI

In the real-world optimization problems, coefficients of the objective function are not known precisely and can be interpreted as fuzzy numbers. In this paper we define the concepts of optimality for linear programming problems with fuzzy parameters based on those for multiobjective linear programming problems. Then by using the concept of comparison of fuzzy numbers, we transform a linear programming problem with fuzzy parameters to a multiobjective linear programming problem. To this end, we propose several theorems which are used to obtain optimal solutions of linear programming problems with fuzzy parameters. Finally some examples are given for illustrating the proposed method of solving linear programming problem with fuzzy parameters.


Sign in / Sign up

Export Citation Format

Share Document