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
- Balasaheb Waphare, Rahilanaz Shaikh, Nitin Rane, A pair of fractional power of generalized hankel-clifford type transformations and their characteristics , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Anuj Kumar, R C Vishwakarma, K Sunita, Exploring Novel Panorama Within Plant-microbe Interface , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Ravikiran K, Neerav Nishant, M Sreedhar, N.Kavitha, Mathur N Kathiravan, Geetha A, Deep learning methods and integrated digital image processing techniques for detecting and evaluating wheat stripe rust disease , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Suprabha Amit Kshatriya, Arvind R Yadav, Early detection of fire and smoke using motion estimation algorithms utilizing machine learning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Maya Kumari, Vikas Y Patade, Z Ahmad, TRANSGENIC APPROACH TOWARDS DEVELOPMENT OF COLD STRESS TOLERANT VEGETABLES FOR HIGH ALTITUDE AREAS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- C. S. Manikandababu, V. Rukkumani, Advanced VLSI-based digital image contrast enhancement: A novel approach with modified image pixel evaluation logic , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Sachin V. Chaudhari, Jayamangala Sristi, R. Gopal, M. Amutha, V. Akshaya, Vijayalakshmi P, Optimizing biocompatible materials for personalized medical implants using reinforcement learning and Bayesian strategies , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Mufeeda V. K., R. Suganya, Novel deep learning assisted plant leaf classification system using optimized threshold-based CNN , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Jyoti Kataria, Himanshi Rawat, Himani Tomar, Naveen Gaurav, Arun Kumar, Azo Dyes Degradation Approaches and Challenges: An Overview , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Swetadri Samadder, Analyzing the impact of COVID-19 on global stock markets: An international comparative analysis , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 2 3 4 5 6 7 8 9 10 11 > >>
You may also start an advanced similarity search for this article.
