Document Type
Article
Abstract
The aim of this paper is to suggest a solution procedure to fractional programming problem based on new ranking function (RF) with triangular fuzzy number (TFN) based on alpha cuts sets of fuzzy numbers. In the present procedure the linear fractional programming (LFP) problems is converted into linear programming problems. We concentrate on linear programming problem problems in which the coefficients of objective function are fuzzy numbers, the right- hand side are fuzzy numbers too, then solving these linear programming problems by using a new ranking function. The obtained linear programming problem can be solved using win QSB program (simplex method) which yields an optimal solution of the linear fractional programming problem. Illustrated examples and comparisons with previous approaches are included to evince the feasibility of the proposed approach.
Keywords
Fuzzy set, Fuzzy number, linear fractional programming, Ranking function, Triangular fuzzy number
Recommended Citation
Mitlif, Rasha Jalal
(2020)
"Ranking Function Application for Optimal Solution of Fractional Programming Problem,"
Al-Qadisiyah Journal of Pure Science: Vol. 25
:
No.
1
, Article 5.
Available at:
https://doi.org/10.29350/2411-3514.1210