Volume 25 • Issue 1 • PP: 358-369 • 2025
Neutrosophic Approach to Increasing Production in Small Guinea Pig Breeding Systems: Exploring Tree Soft Set
Open Access & Copyright
© 2025 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
View PDF Abstract
The article examines the neutrosophic approach as an innovative tool to optimize production in small guinea pig farming systems. Through the exploration of bipolar sets and interval values, the application of this methodology in improving breeding processes is investigated, thus identifying areas of improvement and opportunities for economic and sustainable growth in the sector. The research highlights the importance of considering the uncertainty and imprecision inherent in these systems, proposing a flexible and adaptive framework that allows informed and strategic decision making to increase productivity and profitability. Likewise, the study highlights the need for a holistic and multidisciplinary understanding of the challenges and opportunities in guinea pig farming, recognizing the complexity of the social, economic, and environmental factors involved. Through an interdisciplinary approach, we seek to integrate traditional knowledge and practices with innovative approaches, thus promoting sustainability and the well-being of both producers and animals. Ultimately, this article offers a comprehensive and dynamic perspective on how the neutrosophic approach can significantly contribute to the development and optimization of guinea pig farming systems, thereby driving progress and prosperity in the agricultural sector.
Keywords
References
[1] Sánchez-Macías, D., Barba-Maggi, L., Morales-delaNuez, A., & Palmay-Paredes, J. (2018). Guinea pig for meat production: a systematic review of factors affecting the production, carcass and meat quality. Meat science, 143, 165-176.
[2] M., P. Luis, . R., C. A., R. Cagin, T. (2024). Enhancing Guinea Pig Farming: A Neutrosophic Approach with Interval-Valued and Bipolar Sets in Decision-Making Methods. Journal of International Journal of Neutrosophic Science, 24( 4), 93-104.
[3] Tobou Djoumessi, G. F., Tendonkeng, F., Kenfack, L. B. M., Miégoué, E., Fokom, D. W., Kuitche, H. M., ... & Hornick, J. L. (2023). Characterization and typology of guinea pig breeding in the Department of Menoua-Western Region, Cameroon. Tropical Animal Health and Production, 55(6), 423.
[4] Deli, I., Ali, M., & Smarandache, F. (2015, August). Bipolar neutrosophic sets and their application based on multi-criteria decision making problems. In 2015 International conference on advanced mechatronic systems (ICAMechS) (pp. 249-254). Ieee.
[5] Zhang, H. Y., Wang, J. Q., & Chen, X. H. (2014). Interval neutrosophic sets and their application in multicriteria decision making problems. The Scientific World Journal, 2014(1), 645953.
[6] Deli, I., Ali, M., & Smarandache, F. (2015, August). Bipolar neutrosophic sets and their application based on multi-criteria decision making problems. In 2015 International conference on advanced mechatronic systems (ICAMechS) (pp. 249-254). Ieee.
[7] Abdel-Monem, A., & Gawad, A. A. (2021). A hybrid Model Using MCDM Methods and Bipolar Neutrosophic Sets for Select Optimal Wind Turbine: Case Study in Egypt. Neutrosophic Sets and Systems, 42(1), 1.
[8] Roy, S., Lee, J. G., Pal, A., & Samanta, S. K. (2020). Similarity measures of quadripartitioned single valued bipolar neutrosophic sets and its application in multi-criteria decision making problems. Symmetry, 12(6), 1012.
[9] Smarandache, F. (2023). Aplicaciones prácticas de IndetermSoft Set e IndetermHyperSoft Set e Introducción a TreeSoft Set como una extensión del MultiSoft Set. Neutrosophic Computing & Machine Learning, 25.
[10] Mohamed, M., Smarandache, F., & Voskoglou, M. (2024). BV2TrS Appraiser Model: Enforcing BHARAT Version2 in Tree Soft Modelling for Appraising E-Mobility Hurdles. Neutrosophic Systems With Applications, 16, 36-47. https://doi.org/10.61356/j.nswa.2024.16214
[11] Tanaji, B. A., & Roychowdhury, S. (2024). BWM Integrated VIKOR method using Neutrosophic fuzzy sets for cybersecurity risk assessment of connected and autonomous vehicles. Applied Soft Computing, 159, 111628.
[12] Md, Z. A., N. A., N. Hakimi, M. Ahmad, G. Al-Sharqi, F. Al-Quran, A. M., A. (2024). A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things, 13( 1), 21-30.
[13] Phani, S. Sandeep, K. Raghavendra, N. Sharma, A. Pandey, J. Chouhan, V. (2024). Outlier Management and its Impact on Diabetes Prediction: A Voting Ensemble Study. Journal of Intelligent Systems and Internet of Things, 12( 1), 08-19.
[14] Phani, S. Sandeep, K. Raghavendra, N. Sharma, A. Pandey, J. Chouhan, V. (2024). Outlier Management and its Impact on Diabetes Prediction: A Voting Ensemble Study. Journal of Intelligent Systems and Internet of Things, 12( 1), 08-19.
[15] A., M. R.Mendoza-Poma, M. A., F. A., M. (2024). Technological Tools before and after COVID-19 in Ecuador. Fusion: Practice and Applications, 16( 1), 244-252.
[16] Md, Z. A., N. A., N. Hakimi, M. Ahmad, G. Al-Sharqi, F. Al-Quran, A. M., A. (2024). A DEMATEL Analysis of the Complex Barriers Hindering Digitalization Technology Adoption in the Malaysia Agriculture Sector. Journal of Intelligent Systems and Internet of Things, 13( 1), 21-30.
[17] A., S. G., J. P., M. Ibrahim, M. (2024). Fusion of Preferences with Linguistic Weighted Power Mean Operator in Complex Decision-Making Environment. Fusion: Practice and Applications, 16( 1), 67-84.
Cite This Article
Choose your preferred format
Publisher's Note
The statements, opinions, and data presented in this article are solely those of the author(s) and do not necessarily represent those of ASPG, the journal, or its editors. ASPG and the editors disclaim responsibility for any harm arising from the use of any ideas, methods, instructions, or products described in this article, to the fullest extent permitted by applicable law.