Add to ORKGAbstract. In this paper, we define a fuzzy version of the quadratic optimiza-tion problem and then give a method to solve these problems by using linear ranking functions. The method will be discussed in details. 1
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Because of uncertainty in the real life applications, reaching to the optimal solution is always tim...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...
The objective of this paper is to solve a particular fuzzy quadratic optimization problem, as a firs...
This paper presents a comprehensive methodology for solving and analyzing quadratic and nonlinear pr...
AbstractThis paper presents a comprehensive methodology for solving and analyzing quadratic and nonl...
Abstract:- In the real-world optimization problems, coefficients of the objective function are not k...
Abstract: A new method for solving fuzzy variable linear programming problems directly using linear ...
Quite a few problems in production planning and scheduling, location, transportation, finance, and e...
The fuzzy set theory has been applied in many fields, such as operations research, control theory, a...
Some illustrative examples are provided to identify the ineffective and unrealistic characteri...
Abstract We present a first study concerning the optimization of a non linear fuzzy function f dep...
ABSTRACT This paper deals with a fuzzy linear programming problem where the fuzzy coefficient invol...
Quadratic Programming has been widely applied to solve real-world problems. This paper describes a s...
The paper analyses the linear programming problem with fuzzy coecients in the objective function. Th...
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Because of uncertainty in the real life applications, reaching to the optimal solution is always tim...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...
The objective of this paper is to solve a particular fuzzy quadratic optimization problem, as a firs...
This paper presents a comprehensive methodology for solving and analyzing quadratic and nonlinear pr...
AbstractThis paper presents a comprehensive methodology for solving and analyzing quadratic and nonl...
Abstract:- In the real-world optimization problems, coefficients of the objective function are not k...
Abstract: A new method for solving fuzzy variable linear programming problems directly using linear ...
Quite a few problems in production planning and scheduling, location, transportation, finance, and e...
The fuzzy set theory has been applied in many fields, such as operations research, control theory, a...
Some illustrative examples are provided to identify the ineffective and unrealistic characteri...
Abstract We present a first study concerning the optimization of a non linear fuzzy function f dep...
ABSTRACT This paper deals with a fuzzy linear programming problem where the fuzzy coefficient invol...
Quadratic Programming has been widely applied to solve real-world problems. This paper describes a s...
The paper analyses the linear programming problem with fuzzy coecients in the objective function. Th...
AbstractThe optimality conditions for linear programming problems with fuzzy coefficients are derive...
Because of uncertainty in the real life applications, reaching to the optimal solution is always tim...
Linear programming (LP) is the most widely used optimization technique for solving real-life problem...