Ranking Function to Solve a Fuzzy Multiple Objective Function
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 th...
Main Authors: | , |
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Format: | Article |
Language: | Arabic |
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College of Science for Women, University of Baghdad
2021-03-01
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Series: | Baghdad Science Journal |
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Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815 |
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author | Rasha Jalal Mitlif Iden Hasan Hussein |
author_facet | Rasha Jalal Mitlif Iden Hasan Hussein |
author_sort | Rasha Jalal Mitlif |
collection | DOAJ |
description | 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 |
first_indexed | 2024-12-18T10:00:14Z |
format | Article |
id | doaj.art-65b2644acab64b6fb9180261f5f33592 |
institution | Directory Open Access Journal |
issn | 2078-8665 2411-7986 |
language | Arabic |
last_indexed | 2024-12-18T10:00:14Z |
publishDate | 2021-03-01 |
publisher | College of Science for Women, University of Baghdad |
record_format | Article |
series | Baghdad Science Journal |
spelling | doaj.art-65b2644acab64b6fb9180261f5f335922022-12-21T21:11:41ZaraCollege of Science for Women, University of BaghdadBaghdad Science Journal2078-86652411-79862021-03-0118110.21123/bsj.2021.18.1.0144Ranking Function to Solve a Fuzzy Multiple Objective FunctionRasha Jalal Mitlif0Iden Hasan Husseinuniversity of technologyIn 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 betterhttps://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815Fuzzy multiple objective (FMO), trapezoidal fuzzy (TF) number, linear ranking function (LRF). |
spellingShingle | Rasha Jalal Mitlif Iden Hasan Hussein Ranking Function to Solve a Fuzzy Multiple Objective Function Baghdad Science Journal Fuzzy multiple objective (FMO), trapezoidal fuzzy (TF) number, linear ranking function (LRF). |
title | Ranking Function to Solve a Fuzzy Multiple Objective Function |
title_full | Ranking Function to Solve a Fuzzy Multiple Objective Function |
title_fullStr | Ranking Function to Solve a Fuzzy Multiple Objective Function |
title_full_unstemmed | Ranking Function to Solve a Fuzzy Multiple Objective Function |
title_short | Ranking Function to Solve a Fuzzy Multiple Objective Function |
title_sort | ranking function to solve a fuzzy multiple objective function |
topic | Fuzzy multiple objective (FMO), trapezoidal fuzzy (TF) number, linear ranking function (LRF). |
url | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3815 |
work_keys_str_mv | AT rashajalalmitlif rankingfunctiontosolveafuzzymultipleobjectivefunction AT idenhasanhussein rankingfunctiontosolveafuzzymultipleobjectivefunction |