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

被引：0

作者：

Edalatpanah S.A. ^{[1
]}

Abdolmaleki E. ^{[2
]}

Khalifa H.A.E.-W. ^{[3
]}

Das S.K. ^{[4
]}

机构：

[1] Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon

[2] Department of Applied Mathematics, Islamic Azad University, Tonekabon Branch, Tonekabon

[3] Department of Operations Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza

[4] Department of Revenue, Ministry of Finance, Government of India, New Delhi

来源：

Neutrosophic Sets and Systems | 2023年 / 58卷

关键词：

Decision making; Linear programming; Optimal solution; Quadratic fractional programming; Score function; Taylor series;

D O I：

10.5281/zenodo.8404542

中图分类号：

学科分类号：

摘要：

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. © (2023). All Rights Reserved.

引用

页码：611 / 630

页数：19

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