Volume 24 , Issue 4 , PP: 93-104, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Patricia M. Andrade-Aulestia 1 * , Luis A. Chicaiza-Sánchez 2 , César R. Delgado-Acurio 3 , Rafael A. Garzón-Jarrín 4 , Tonguc Cagin 5
Doi: https://doi.org/10.54216/IJNS.240407
The study emphasizes the need of implementing several ways to promote guinea pig farming in small family units. It highlights the relevance of enhanced nutrition, effective health management, genetic enhancement, and acceptable habitat conditions as essential factors for enhancing productivity and profitability. Suggestions encompass the adoption of advanced breeding methods, offering training and technical support, and expanding the range of goods and markets to ensure the long-term economic viability of guinea pig farming. The utilization of neutrosophic sets provided a strong framework for assessing these techniques, enabling a thorough study that considers the inherent uncertainties in decision-making processes. To enhance future study, it is recommended to improve and broaden neutrosophic approaches to comprehend the intricacies of guinea pig farming systems more effectively. It will be beneficial to create more advanced models that include a broader set of factors and extensive data, as well as to undertake longitudinal studies to evaluate the long-term effects. It is essential to work together with local communities to customize tactics that are suitable for specific geographical conditions and socioeconomic contexts. This is necessary to ensure that these interventions are practical and successful.
Neutrosophic , Guinea Pig Farming , Decision-Making , Neutrosophic TreeSoft Set , VIKOR
[1] Kaiser, S., Krüger, C., & Sachser, N. (2024). The guinea pig. The UFAW handbook on the care and management of laboratory and other research animals, 465-483.
[2] Ossebi, W., Ayssiwede, S. B., Atchiwassa, S., Djettin, A. E., Malou, R., Diop, M., & Missohou, A. (2023). Zootechnical performances and profitability of local breed’s pigs fattened through the application of feed and health technological packages in traditional livestock farms in Casamance, Senegal. Journal of Applied Animal Research, 51(1), 501-514.
[3] Lammers, P. J., Carlson, S. L., Zdorkowski, G. A., & Honeyman, M. S. (2009). Reducing food insecurity in developing countries through meat production: the potential of the guinea pig (Cavia porcellus). Renewable Agriculture and Food Systems, 24(2), 155-162.
[4] Shomer, N. H., Holcombe, H., & Harkness, J. E. (2015). Biology and diseases of guinea pigs. In Laboratory animal medicine (pp. 247-283). Academic Press.
[5] Şahin, N. M., & Uz, M. S. (2021). Multi-criteria Decision-making Applications Based on Set Valued Generalized Neutrosophic Quadruple Sets for Law. International Journal of Neutrosophic Science (IJNS), 17(1).
[6] Thong, N. T., Smarandache, F., Hoa, N. D., Son, L. H., Lan, L. T. H., Giap, C. N., ... & Long, H. V. (2020). A novel dynamic multi-criteria decision-making method based on generalized dynamic interval-valued neutrosophic set. Symmetry, 12(4), 618.
[7] Priyadarsini, S., Singh, A. V., & Broumi, S. (2023). Extraction of Knowledge from Uncertain Data Employing Weighted Bipolar and Neutrosophic Soft Sets. Neutrosophic Sets and Systems, 60(1), 5.
[8] Praveena, N., Begum, S. G., Rajkumar, A., Nagarajan, D., & Said, B. (2022). Nonagonal Neutrosophic Number and its Application in Optimization Technique. International Journal of Neutrosophic Science (IJNS), 19(2).
[9] Smarandache, F. (2023). Practical applications of IndetermSoft Set and IndetermHyperSoft Set and introduction to TreeSoft Set as an extension of MultiSoft Set. Neutrosophic Computing and Machine Learning, 25, 1-8.
[10] Dhanalakshmi, G., Sandhiya, S., & Smarandache, F. (2024). Selection of the best process for desalination under a Treesoft set environment using the multi-criteria decision-making method. International Journal of Neutrosophic Science, 23(3), 140-40.
[11] López, E., Vivar, S. M., & Chalacan, L. M. (2023). A Fusion Selection Approach of the Best Plan for Energy Remodeling Hospital Wards Using a Multi-Criteria Decision-Making. Fusion: Practice and Applications, 14(1), 138-38.
[12] Rogulj, K., Kilić Pamuković, J., & Ivić, M. (2021). Hybrid MCDM based on VIKOR and cross entropy under rough neutrosophic set theory. Mathematics, 9(12), 1334.
[13] Leyva-Vázquez, M., Quiroz-Martínez, M. A., Portilla-Castell, Y., Hechavarría-Hernández, J. R., & González-Caballero, E. (2020). A New Model for the Selection of Information Technology Project in a Neutrosophic Environment. Neutrosophic Sets & Systems, 32.
[14] Aziz, A. S., Emad, M., Ismail, M., Rashad, H., Ali, A. M., Abdelhafeez, A., & Mohamed, S. S. (2023). An Intelligent Multi-Criteria Decision-Making Model for selecting an optimal location for a data center: Case Study in Egypt. Journal of Intelligent Systems and Internet of Things, 9(2), 23-35.
