Ranking Function to Solve a Fuzzy Multiple Objective Function

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Published: Mar 10, 2021
DOI: https://doi.org/10.21123/bsj.2021.18.1.0144
Keywords:
Fuzzy multiple objective (FMO), trapezoidal fuzzy (TF) number, linear ranking function (LRF).

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Rasha Jalal Mitlif
university of technology
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

Received 8/8/2019,  Accepted 16/2/2020,  Published Online First 6/12/2020

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1.
Ranking Function to Solve a Fuzzy Multiple Objective Function. Baghdad Sci.J [Internet]. 2021 Mar. 10 [cited 2025 Jan. 23];18(1):0144. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815
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Vol. 18 No. 1 (2021): Issue 1
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article
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

1.
Ranking Function to Solve a Fuzzy Multiple Objective Function. Baghdad Sci.J [Internet]. 2021 Mar. 10 [cited 2025 Jan. 23];18(1):0144. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815
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