| publication name | An Interactive Method for Solving Fuzzy Multi-objective Linear Programming Problems |
|---|---|
| Authors | M. E. Hady Kassem; N. A. El-kholy; M. H. Eid; M. M. Ibrahim |
| year | 2022 |
| keywords | Fuzzy set, interactive method, multi-objective linear programming. |
| journal | International Journal of Advanced Trends in Computer Science and Engineering |
| volume | Vol. 10, No. 4, 2021 |
| issue | 2278-3091 |
| pages | Not Available |
| publisher | Not Available |
| Local/International | Local |
| Paper Link | Not Available |
| Full paper | download |
| Supplementary materials | Not Available |
Abstract
This paper is concerned with multi-objective linear programming problems in which the coefficients are expressed as fuzzy numbers of triangular type. An interactive method, to enhance the weights in the weighted sum problem, is introduced. In the scalarized problem, the weights are determined via the ideal minimum and maximum values of the objective functions. A numerical example is given to clarify the presented method. This paper is concerned with multi-objective linear programming problems in which the coefficients are expressed as fuzzy numbers of triangular type. An interactive method, to enhance the weights in the weighted sum problem, is introduced. In the scalarized problem, the weights are determined via the ideal minimum and maximum values of the objective functions. A numerical example is given to clarify the presented method.