Volume 25 , Issue 1 , PP: 475-484, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Edilberto Chacón Marcheco 1 * , Yánez Pinto Washington Eduardo 2 , Nancy Margoth Cueva Salazar 3 , Blanca Mercedes Toro Molina 4 , Lucia Monserrath Silva Déley 5 , Burkhon Dekhkonov 6
Doi: https://doi.org/10.54216/IJNS.250142
In the fast-paced world of business decision-making, where clarity and precision are vital, an integrated approach that combines the indeterminate Likert scale with the neutrosophic Analytical Hierarchy Process (AHP) offers a fresh and enriching perspective for SWOT analysis. This innovative methodology not only allows us to capture the ambiguity inherent in human evaluations, but also enhances analytical depth by incorporating neutrosophic thinking, which considers elements of truth, falsehood and indeterminacy. Instead of traditional methods that often oversimplify complexities, this integrated approach facilitates a more nuanced and holistic assessment of strengths, weaknesses, opportunities and threats, thus providing a more robust and reliable basis for formulating business strategies. Additionally, the adoption of the indeterminate Likert scale, fused with the neutrosophic AHP, introduces conceptual flexibility that is particularly useful in contexts of uncertainty and changing market dynamics. This approach not only allows decision makers to better capture the subjective and often contradictory perceptions of experts, but also facilitates the weighing of multiple criteria in a coherent and logical manner. Doing so ensures that the strategies developed are not only thoughtful and detailed, but also adaptable to the fluctuating realities of the modern business environment. In short, this integrated approach is presented as a powerful and versatile tool for strategic planning, capable of transforming complex challenges into tangible opportunities through a deep and balanced understanding of organizational reality.
Indeterminate Likert Scale , Neutrosophic AHP , SWOT , Analytical Hierarchy Process
[1] Beraún-Espíritu, M. M., Moscoso-Paucarchuco, K. M., Quispe-Quezada, L. P., Alvarez-Bernuy, S. M., Solano, M. A. Q., Julca-Marcelo, E. H., ... & Gamarra-Moreno, A. (2024). Socioeconomic and Environmental Impact of the Implementation of Renewable Energy: An Analysis from the Neutrosophic PEST-SWOT. International Journal of Neutrosophic Science, 25(1), 203-03.
[2] Abd El- khalik, W. (2022) “A Machine Learning Approach for Improved Thermal Comfort Prediction in Sustainable Built Environments”, Sustainable Machine Intelligence Journal, 1, pp. (2):1–8. doi:10.61185/SMIJ.2022.11101.
[3] Obbineni, J., Kandasamy, I., Vasantha, W. B., & Smarandache, F. (2023). Combining SWOT analysis and neutrosophic cognitive maps for multi-criteria decision making: a case study of organic agriculture in India. Soft Computing, 27(23), 18311-18332.
[4] Ali, R. Rawashdeh, A. "Decision-Making Model for Robot Selection Application using Neutrosophic Sets," Journal of International Journal of Advances in Applied Computational Intelligence, vol. 6, no. 1, pp. 36-49, 2024. DOI: https://doi.org/10.54216/IJAACI.060104
[5] Hernández, N. B., Vázquez, M. Y. L., Caballero, E. G., Cruzaty, L. E. V., Chávez, W. O., & Smarandache, F. (2021). A new method to assess entrepreneurship competence in university students using based on plithogenic numbers and SWOT analysis. International Journal of Fuzzy Logic and Intelligent Systems, 21(3), 280-292.
[6] Abdelhafeez , A., Aziz, A. and Khalil , N. (2022) “ Building a Sustainable Social Feedback Loop: A Machine Intelligence Approach for Twitter Opinion Mining ”, Sustainable Machine Intelligence Journal , 1, pp. (6):1–12. doi:10.61185/SMIJ.2022.2315.
[7] Florentin Smarandache, Said Broumi , The Set intelligentneutral is a particular case of the refined neutrosophic set , Journal of Neutrosophic and Fuzzy Systems, vol. 1, no. 1, (2021): 34-36 ( Doi : https://doi.org/10.54216/JNFS.010103 )
[8] Mahmoud Ismail , Mahmoud Ibrahiem, Multi-criteria decision-making approach based on neutrosophic sets for evaluating sustainable supplier selection in Industry 4.0, American Journal of
[9] abualkishik, A. Almajed, R. Thompson, W. "Improving the perfoamnce of Fog-assisted Internet of Things Networks using Bipolar Trapezoidal Neutrosophic sets," Journal of International Journal of Wireless and Ad Hoc Communication, vol. 6, no. 1, pp. 30-37, 2023. DOI: https://doi.org/10.54216/IJWAC.060103
[10] AB Bonilla Rodríguez, MF Cueva Moncayo, FB Morocho Quinchuela , Construction of the Sanda teaching risk assessment index system using the AHP neutrosophic method, International Journal of Neutrosophic Sciences, vol. 18, no. 4, (2022): 334-343 (Doi: https://doi.org/10.54216/IJNS.180428)
[11] González Nuñez, BM, Pérez Peña, O., & Leyva Vázquez, MY (2021). Selection of environmental indicators using multi-criteria neutrosophic decision techniques. Neutrosophic computing and machine learning, (16).
[12] M. Brizmohun Appayya et al., “Characterization of prostatic lesions of indeterminate peripheral zone (Likert score 3/5) with PSA density, PI-RADS score and qualitative descriptors in multiparametric MRI”, Br. J. Radiol. , vol. 91, no. 1083, p. 20170645, 2017,
[13] Gómez, G. Á., Armijos, CG, Fernández, AJR, & García, ARR (2023). Neutrosophic analysis of ethics in a supply chain. Neutrosophic Sets and Systems, 62(1), 36.
[14] MM Rosa Leonor, GS Manaces Easud , PP Luis Fernando, Indeterminate Likert Scale in Social Sciences Research, International Journal of Neutrosophic Sciences, vol. 19, no. 1, (2022): 289-297 (Doi: https://doi.org/10.54216/IJNS.190125 )
[15] Camayo-Lapa, BF, Ninozca, FLK, Landa-Guadalupe, LE, Quispe-Solano, MA, De La Cruz Porta, EA, Luis, LBJ, ... & Mandamiento, ASC (2023). Characterization of the social skills and emotional management of students from a Peruvian public university based on Plitogenic Statistics and Indeterminate Likert Scale. Neutrosophic Sets and Systems, 62, 28-35.
[16] Vázquez, ML and Smarandache, F. (2024). A neutrosophic approach to studying agnotology: A case study on climate change beliefs. HyperSoft Set Methods in Engineering, 2, 1-8.
[17] Chaudhari, R. Gad, R. Gawali, P. Gite, M. A., D. "Hate Speech Detection on Social Media Using Machine Learning Algorithms," Journal of Journal of Cognitive Human-Computer Interaction, vol. 2, no. 2, pp. 56-59, 2022. DOI: https://doi.org/10.54216/JCHCI.020203
[18] Lobna Osman, Multi-criteria decision-making model for industrial arc welding robots, International Journal of Wireless and Ad Hoc Communication, Vol. 4, No. 1, (2022): 19-30 (Doi: https://doi.org/10.54216/IJWAC.040102)
[19] Nabeeh, N. (2023) “Assessment and contrast of sustainable growth of various road transportation systems using a multi-criteria intelligent neutrosophic decision-making model”, Sustainable Machine Intelligence Journal, 2, pp. (2): 1–12. doi:10.61185/SMIJ.2023.22102.
[20] Abedallah Z. Abualkishik , Rasha Almajed , Photovoltaic Charging Station Site Selection Using a Multi-Criteria Decision Making (MCDM) Framework with New Criteria Identification, International Journal of Wireless and Ad Hoc Communication, Vol. 4, no. 2, (2022): 72-84 (Doi: https://doi.org/10.54216/IJWAC.040203 )
