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
- Archana G, Vijayalakshmi V, Improving classification precision for medical decision systems through big data analytics application , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ashutosh Pathak, Review- Significant Advancements in Electrochemical Detection of Neuron-Specific Enolase , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- K. Vani, S. Sujatha, Fault tolerance systems in open source cloud computing environments–A systematic review , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- R. A. Askerov, The role of improving the business environment in agriculture in ensuring the country’s food security , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- B. Kalpana, P. Krishnamoorthy, S. Kanageswari, Anitha J. Albert, Machine learning approaches for predicting species interactions in dynamic ecosystems , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- N. Ruba, A. S. A. Khadir, Session password Blum–Goldwasser cryptography based user three layer authentication for secured financial transaction , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Jayalakshmi K., M. Prabakaran, Feature selection in HR analytics: A hybrid optimization approach with PSO and GSO , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Regasa Begna, Worku Masho, Wondosan Wondimu, Yaregal Tilahun, Tilahun Bekele, Benyam Tadesse, Haile Negash, Participatory evaluation and demonstration of productive performance of Bovans Brown chicken under village production system in Menit Shasha Woreda, West Omo Zone, Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- G. Deena, K. Raja, M. Azhagiri, W.A. Breen, S. Prema, Application of support vector classifier for mango leaf disease classification , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
