Abstract
In this paper two ranking functions are employed to treat the fuzzy multiple objective (FMO) programming model, then using two kinds of membership function, the first one is trapezoidal fuzzy (TF) ordinary membership function, the second one is trapezoidal fuzzy weighted membership function. When the objective function is fuzzy, then should transform and shrinkage the fuzzy model to traditional model, finally solving these models to know which one is better
Keywords
Fuzzy multiple objective (FMO), trapezoidal fuzzy (TF) number, linear ranking function (LRF).
Article Type
Article
How to Cite this Article
Mitlif, Rasha Jalal and Hussein, Iden Hasan
(2021)
"Ranking Function to Solve a Fuzzy Multiple Objective Function,"
Baghdad Science Journal: Vol. 18:
Iss.
1, Article 4.
DOI: https://doi.org/10.21123/bsj.2021.18.1.0144
