This paper illustrates a procedure to generate pareto optimal solutions of multi-objective linear fractional programming problem (MOLFPP) with closed interval coefficients of decision variables both in objective and constraint functions. E-constraint method is applied to produce pareto optimal solutions comprising most preferred solution to satisfy all objectives. A numerical example is solved using our proposed method and the result so obtained is compared with that of fuzzy programming which justifies the efficiency and authenticity of the proposed method
Multi-objective Programming Problem consists of conflicting objective functions, therefore, it is no...
In this study, we have proposed an alternative solution to the multi objective linear fractional pro...
This paper presents fuzzy goal programming approach for bi-level linear fractional programming probl...
The importance of linear fractional programming comes from the fact that many real life problems are...
This paper develops a method to solve multi-level multi-objective linear fractional programming prob...
In this paper, an interactive approach for solving multi-level multi-objective fractional programmin...
In this study, we present a novel method for solving fully fuzzy multi-objective linear fractional p...
Non linear programming is the most important optimizations. One of them is linear fractional p...
This study aims to present an interactive method in order to solve multiple objective linear fractio...
This paper introduces an algorithm for solving fully rough intervalmulti-level multi-objective linea...
A bilevel programming problem (BLPP) is a hierarchical optimization problem where the constraint reg...
This paper presents a modification of Pal, Moitra and Maulik\u27s goal programming procedure for fuz...
The multi-objective linear fractional programming is an interesting topic with many applications in ...
This study presents a hybrid algorithm consisting of game theory and the first order Taylor series a...
The motivation behind this paper is to present multi-level multi-objective quadratic fractional prog...
Multi-objective Programming Problem consists of conflicting objective functions, therefore, it is no...
In this study, we have proposed an alternative solution to the multi objective linear fractional pro...
This paper presents fuzzy goal programming approach for bi-level linear fractional programming probl...
The importance of linear fractional programming comes from the fact that many real life problems are...
This paper develops a method to solve multi-level multi-objective linear fractional programming prob...
In this paper, an interactive approach for solving multi-level multi-objective fractional programmin...
In this study, we present a novel method for solving fully fuzzy multi-objective linear fractional p...
Non linear programming is the most important optimizations. One of them is linear fractional p...
This study aims to present an interactive method in order to solve multiple objective linear fractio...
This paper introduces an algorithm for solving fully rough intervalmulti-level multi-objective linea...
A bilevel programming problem (BLPP) is a hierarchical optimization problem where the constraint reg...
This paper presents a modification of Pal, Moitra and Maulik\u27s goal programming procedure for fuz...
The multi-objective linear fractional programming is an interesting topic with many applications in ...
This study presents a hybrid algorithm consisting of game theory and the first order Taylor series a...
The motivation behind this paper is to present multi-level multi-objective quadratic fractional prog...
Multi-objective Programming Problem consists of conflicting objective functions, therefore, it is no...
In this study, we have proposed an alternative solution to the multi objective linear fractional pro...
This paper presents fuzzy goal programming approach for bi-level linear fractional programming probl...