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
收藏
页码：611 / 630
页数：19
相关论文
共 24 条
  • [1] A new method for solving quadratic fractional programming problem in neutrosophic environment
    Khania, Hamiden Abd El-Wahed
    Alharbi, Majed
    Kumar, Pavan
    OPEN ENGINEERING, 2021, 11 (01): : 880 - 886
  • [2] A Novel Approach for Solving Quadratic Fractional Programming Problems
    Sivri, Mustafa
    Albayrak, Inci
    Temelcan, Gizem
    CROATIAN OPERATIONAL RESEARCH REVIEW, 2018, 9 (02) : 199 - 209
  • [3] A novel method for solving the fully neutrosophic linear programming problems
    Abdel-Basset, Mohamed
    Gunasekaran, M.
    Mohamed, Mai
    Smarandache, Florentin
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (05) : 1595 - 1605
  • [4] An Optimized Method for Solving Membership-based Neutrosophic Linear Programming Problems
    Nafei, Amirhossein
    Huang, Chien-Yi
    Azizi, S. Pourmohammad
    Chen, Shu-Chuan
    STUDIES IN INFORMATICS AND CONTROL, 2022, 31 (04): : 45 - 52
  • [5] A novel method for solving the fully neutrosophic linear programming problems: Suggested modifications
    Singh, Akanksha
    Kumar, Amit
    Appadoo, S. S.
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (01) : 885 - 895
  • [6] Integer quadratic fractional programming problems with bounded variables
    Jain, Ekta
    Dahiya, Kalpana
    Verma, Vanita
    ANNALS OF OPERATIONS RESEARCH, 2018, 269 (1-2) : 269 - 295
  • [7] Integer quadratic fractional programming problems with bounded variables
    Ekta Jain
    Kalpana Dahiya
    Vanita Verma
    Annals of Operations Research, 2018, 269 : 269 - 295
  • [8] Efficient local search procedures for quadratic fractional programming problems
    Luca Consolini
    Marco Locatelli
    Jiulin Wang
    Yong Xia
    Computational Optimization and Applications, 2020, 76 : 201 - 232
  • [9] Efficient local search procedures for quadratic fractional programming problems
    Consolini, Luca
    Locatelli, Marco
    Wang, Jiulin
    Xia, Yong
    COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2020, 76 (01) : 201 - 232
  • [10] On fuzzy fractional quadratic programming problems with an application in the tourism sector
    Mahajan, Sumati
    Gupta, S. K.
    Ahmad, Izhar
    APPLIED SOFT COMPUTING, 2024, 150
123