Ranking Function to Solve a Fuzzy Multiple Objective Function

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Rasha Jalal Mitlif
Iden Hasan Hussein

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

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1.
Ranking Function to Solve a Fuzzy Multiple Objective Function. Baghdad Sci.J [Internet]. 2021 Mar. 10 [cited 2024 Mar. 28];18(1):0144. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815
Section
article

How to Cite

1.
Ranking Function to Solve a Fuzzy Multiple Objective Function. Baghdad Sci.J [Internet]. 2021 Mar. 10 [cited 2024 Mar. 28];18(1):0144. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815

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