Solving neutrosophic multi-objective linear fractional programming problem using central measures
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.23Keywords:
Neutrosophic multi-objective linear fractional programming problem, Neutrosophic triangular number, Harmonic averaging techniques, Advanced harmonic averaging techniques.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In this article, we present different kind of mean technique to solve Multi-Objective Linear Fractional Programming Problem (MOLFPP) in Neutrosophic Environment. Here in these mean techniques the MOLFPP is converted into Single Objective Linear Programming problem(SOLPP) and then we obtained the optimal solution by simplex method in Neutrosophic Environment. The proposed method is illustrated with the help of a numerical example.Abstract
How to Cite
Downloads
Similar Articles
- Vinodini R, Ritha W, Sasitharan Nagapan, The green inventory model for sustainable environment that includes degrading products and backordering with integration of environmental cost , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Krishna Deo Verma, A NOTE ON AGRICULTURE; CONCERNS,OPPORTUNITIES AND CHALLENGES , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Rahul Maurya, Thirupataiah B, Lakshminarayana Misro, Thulasi R, Effect of the Solvent Polarity and Temperature in the Isolation of Pure Andrographolide from Andrographis paniculata , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Jonah, Danush Kumar SM, Yugeshkrishnan M, Santhoshkumar K, Shahid Gaffa, Satellite hardfacing of mild steel using robotic mig welding , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Rashmika Vaghela, Dileep Labana, Kirit Modi, Efficient I3D-VGG19-based architecture for human activity recognition , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Abhishek Pandey, V Ramesh, Puneet Mittal, Suruthi, Muniyandy Elangovan, G.Deepa, Exploring advancements in deep learning for natural language processing tasks , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Shriram N. Kargaonkar, Sushma Pradeep Chalke, Sunil Mahajan, Statistical Modeling of Consumer Preferences for Eco-friendly Digital Products: A Data-driven Approach Toward Sustainable Consumption in India , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Narvdeshwar Pandey, Critical Analysis of Biological Warfare , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Ahmed Mustefa, Ethiopian Voluntary Resettlement Programme-Lesson to Learn , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Krishna P. Kalyanathaya, Krishna Prasad K, A novel method for developing explainable machine learning framework using feature neutralization technique , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
<< < 24 25 26 27 28 29 30 31 32 33 > >>
You may also start an advanced similarity search for this article.

