Volume 3, Issue 1, 2023
Articles

Solving Neutrosophic Multi-Objective Linear Fractional Programming Problem Using Central Measures – II

S. N. Mohamed Assarudeen
PG & Research Department of Mathematics, Islamiah College (Autonomous) Vaniyambadi, Affiliated to Thiruvalluvar University, Serkadu, Vellore
N. Suresh Kumar
PG & Research Department of Mathematics, Islamiah College (Autonomous) Vaniyambadi, Affiliated to Thiruvalluvar University, Serkadu, Vellore
M. Devi
PG & Research Department of Mathematics, Islamiah College (Autonomous) Vaniyambadi, Affiliated to Thiruvalluvar University, Serkadu, Vellore

Published 2023-12-31

Keywords

  • Neutrosophic Multi-Objective Linear Fractional Programming Problem, Neutrosophic Triangular Number, Harmonic Averaging Techniques, and Advanced Harmonic Averaging Techniques.

How to Cite

Mohamed Assarudeen, S. N., Suresh Kumar, N., & Devi, M. (2023). Solving Neutrosophic Multi-Objective Linear Fractional Programming Problem Using Central Measures – II. Kristu Jayanti Journal of Computational Sciences (KJCS), 3(1), 1–10. https://doi.org/10.59176/kjcs.v3i1.2293

Abstract

In this paper, we introduce a new transformation method for resolving the issue of Neutrosophic Multi-Objective Linear Fractional Programming Problem (NMOLFPP). Our approach involves converting NMOLFPP into a Neutrosophic Single Objective Linear Fractional Programming Problem (NSOLFPP) and proposing an algorithm to discover its solution. To strengthen our method, we present a numerical example. The outcomes of our study indicate that the Advanced Harmonic Average technique provides the best optimal solution compared to the other methods such as Arithmetic Average, New Arithmetic Average, and Harmonic Average (

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References

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