In this paper, a fully rough integer linear fractional programming problem is introduced, in which all coefficients and decision variables in the objective function and the constraints are rough intervals. The optimal value of decision rough variables is rough interval. In order to solve this problem, we will construct four crisp integer linear fractional programming problems. Via these four crisp problems the rough optimal integer solution is obtained. An illustrative numerical example is given for the developed theory.
Ammar, E., & El jerbi, T. (2019). Solving a Fully Rough Integer Linear Fractional Programming Problem. Delta Journal of Science, 40(1), 46-58. doi: 10.21608/djs.2019.139195
MLA
El-Saeed Ammar; Tarek El jerbi. "Solving a Fully Rough Integer Linear Fractional Programming Problem". Delta Journal of Science, 40, 1, 2019, 46-58. doi: 10.21608/djs.2019.139195
HARVARD
Ammar, E., El jerbi, T. (2019). 'Solving a Fully Rough Integer Linear Fractional Programming Problem', Delta Journal of Science, 40(1), pp. 46-58. doi: 10.21608/djs.2019.139195
VANCOUVER
Ammar, E., El jerbi, T. Solving a Fully Rough Integer Linear Fractional Programming Problem. Delta Journal of Science, 2019; 40(1): 46-58. doi: 10.21608/djs.2019.139195