A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems

This study introduces a novel method for addressing the pentagonal quadratic fractional programming problem (PQFPP). We employ pentagonal neutrosophic numbers for the objective function's cost, resources, and technological coefficients. The paper transforms the PQFPP into a standard quadratic f...

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Main Authors: S.A. Edalatpanah, E. Abdolmaleki, Hamiden Abd El- Wahed Khalifa, Sapan Kumar Das
Format: Article
Language:English
Published: University of New Mexico 2023-10-01
Series:Neutrosophic Sets and Systems
Subjects:
Online Access:https://fs.unm.edu/NSS/ComputationalNeutrosophicUncertainty38.pdf
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author S.A. Edalatpanah
E. Abdolmaleki
Hamiden Abd El- Wahed Khalifa
Sapan Kumar Das
author_facet S.A. Edalatpanah
E. Abdolmaleki
Hamiden Abd El- Wahed Khalifa
Sapan Kumar Das
author_sort S.A. Edalatpanah
collection DOAJ
description This study introduces a novel method for addressing the pentagonal quadratic fractional programming problem (PQFPP). We employ pentagonal neutrosophic numbers for the objective function's cost, resources, and technological coefficients. The paper transforms the PQFPP into a standard quadratic fractional programming (QFP) problem via the score function. By leveraging the Taylor series approach, the modified QFP is simplified to a single-objective linear programming (LP) task, amenable to resolution through conventional LP algorithms or software tools. A numerical example serves to demonstrate the efficacy of the suggested approach. Moreover, comparative analyses and benefits reveal that the newly developed techniques outperform existing solutions in current scholarly works.
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spelling doaj.art-711b385da3aa4017ab7407fe0178a41a2023-10-17T12:31:21ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2023-10-015861163010.5281/zenodo.8404542A novel computational method for neutrosophic uncertainty related quadratic fractional programming problemsS.A. EdalatpanahE. AbdolmalekiHamiden Abd El- Wahed Khalifa Sapan Kumar DasThis study introduces a novel method for addressing the pentagonal quadratic fractional programming problem (PQFPP). We employ pentagonal neutrosophic numbers for the objective function's cost, resources, and technological coefficients. The paper transforms the PQFPP into a standard quadratic fractional programming (QFP) problem via the score function. By leveraging the Taylor series approach, the modified QFP is simplified to a single-objective linear programming (LP) task, amenable to resolution through conventional LP algorithms or software tools. A numerical example serves to demonstrate the efficacy of the suggested approach. Moreover, comparative analyses and benefits reveal that the newly developed techniques outperform existing solutions in current scholarly works.https://fs.unm.edu/NSS/ComputationalNeutrosophicUncertainty38.pdfquadratic fractional programmingscore functiontaylor serieslinear programmingdecision makingoptimal solution
spellingShingle S.A. Edalatpanah
E. Abdolmaleki
Hamiden Abd El- Wahed Khalifa
Sapan Kumar Das
A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
Neutrosophic Sets and Systems
quadratic fractional programming
score function
taylor series
linear programming
decision making
optimal solution
title A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
title_full A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
title_fullStr A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
title_full_unstemmed A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
title_short A novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
title_sort novel computational method for neutrosophic uncertainty related quadratic fractional programming problems
topic quadratic fractional programming
score function
taylor series
linear programming
decision making
optimal solution
url https://fs.unm.edu/NSS/ComputationalNeutrosophicUncertainty38.pdf
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