A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers

Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. Likewise, the present study examines a new approach to solve FFLP issues through fuzzy decision parameters and variables using triangular fuzzy numbers. The strategy, which is based on alpha-cut theory...

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Autores principales: Saeid Jafarzadeh Ghoushchi, Elnaz Osgooei, Gholamreza Haseli, Hana Tomaskova
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/a9148a76529e4bcfacf68fbd162aaddf
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spelling oai:doaj.org-article:a9148a76529e4bcfacf68fbd162aaddf2021-11-25T18:17:20ZA Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers10.3390/math92229372227-7390https://doaj.org/article/a9148a76529e4bcfacf68fbd162aaddf2021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2937https://doaj.org/toc/2227-7390Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. Likewise, the present study examines a new approach to solve FFLP issues through fuzzy decision parameters and variables using triangular fuzzy numbers. The strategy, which is based on alpha-cut theory and modified triangular fuzzy numbers, is suggested to obtain the optimal fully fuzzy solution for real-world problems. In this method, the problem is considered as a fully fuzzy problem and then is solved by applying the new definition presented for the triangular fuzzy number to optimize decision variables and the objective function. Several numerical examples are solved to illustrate the above method.Saeid Jafarzadeh GhoushchiElnaz OsgooeiGholamreza HaseliHana TomaskovaMDPI AGarticlemodified triangular fuzzy numbersfuzzy decision variablesfully fuzzy linear programmingalpha-cut theoryMathematicsQA1-939ENMathematics, Vol 9, Iss 2937, p 2937 (2021)
institution DOAJ
collection DOAJ
language EN
topic modified triangular fuzzy numbers
fuzzy decision variables
fully fuzzy linear programming
alpha-cut theory
Mathematics
QA1-939
spellingShingle modified triangular fuzzy numbers
fuzzy decision variables
fully fuzzy linear programming
alpha-cut theory
Mathematics
QA1-939
Saeid Jafarzadeh Ghoushchi
Elnaz Osgooei
Gholamreza Haseli
Hana Tomaskova
A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers
description Recently, new methods have been recommended to solve fully fuzzy linear programming (FFLP) issues. Likewise, the present study examines a new approach to solve FFLP issues through fuzzy decision parameters and variables using triangular fuzzy numbers. The strategy, which is based on alpha-cut theory and modified triangular fuzzy numbers, is suggested to obtain the optimal fully fuzzy solution for real-world problems. In this method, the problem is considered as a fully fuzzy problem and then is solved by applying the new definition presented for the triangular fuzzy number to optimize decision variables and the objective function. Several numerical examples are solved to illustrate the above method.
format article
author Saeid Jafarzadeh Ghoushchi
Elnaz Osgooei
Gholamreza Haseli
Hana Tomaskova
author_facet Saeid Jafarzadeh Ghoushchi
Elnaz Osgooei
Gholamreza Haseli
Hana Tomaskova
author_sort Saeid Jafarzadeh Ghoushchi
title A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers
title_short A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers
title_full A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers
title_fullStr A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers
title_full_unstemmed A Novel Approach to Solve Fully Fuzzy Linear Programming Problems with Modified Triangular Fuzzy Numbers
title_sort novel approach to solve fully fuzzy linear programming problems with modified triangular fuzzy numbers
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/a9148a76529e4bcfacf68fbd162aaddf
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