2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 13 , Issue 1 , PP: 287-292, 2024 | Cite this article as | XML | Html | PDF | Full Length Article
Jose Luis Robalino Villafuerte 1 * , Sheila Belen Esparza Pijal 2 , Mónica Isabel Mora Verdezoto 3 , Lorenzo Cevallos-Torres 4 , Sanjar Mirzaliev 5
Doi: https://doi.org/10.54216/JISIoT.130121
Using Neutrosophic Cognitive Maps (NCM), this research tackles the very core of one of the main problems that exist in the analysis of complex structures and systems: how to represent and model decision making in situations of uncertainty, or where there is contradiction and ambiguity. This problem gets even worse in the areas of knowledge management, strategic evaluation, or design of public policies since orthodox methods do not always possess required versatility for combining partially available or contradicting information. To address this challenge, the researchers recommend Neutrosophic Cognitive Maps (NCM) as a more appropriate technique considering that the neutrosophic logic can depict and study more intricate relationships in the presence of indeterminacy. There is an iterative learning of cognitive maps which is coupled with neutrosophic analysis techniques enabling the construction of a comprehensive model capturing both certainties and the undefined and disputed areas of the evaluated systems. The findings obtained in this research demonstrate how effective NCMs are in the spatial and analytic representation of complex and multifactorial situations providing features that go beyond the conventional structure models. Apart from broadening theorization on decision-making processes in an uncertain situation, this research provides practical tools applicable in sectors such as strategic planning, complex problem solving and organizational management. In short, the study shows that neutrosophic, used as a methodological catalyst, not only expands the possibilities of analysis but also transforms how complex systems are conceptualized and managed in the academic and practical fields.
Neutrosophic , Neutrosophic cognitive maps , NCM, Uncertainty , Contradiction , Ambiguity , Decision making , Complex systems , Knowledge management , Strategic evaluation , Public policies , Neutrosophic logic
[1] F. Smarandache and M. Leyva Vazquez, “Fundamentals of logic and neutrosophic sets and their role in artificial intelligence (Fundamentals of logic and neutrosophic sets and their role in artificial intelligence)”, Neutrosophic Computing and Machine Learning. , vol. 1, pp. 3–8, 2018
[2] RC Ilaquiche Licta, FA Garcés Córdova, LR Ayala Ayala and KE Carrión León, “Neutrosophic analysis of the judgment of violations committed in indigenous justice”, Neutrosophic set system. , vol. 52, no. 1, pp. 183–190, 2022.
[3] S. G. Quek, S. Broumi, G. Selvachandran, A. Bakali, M. Talea, and F. Smarandache, “Some results on graph theory for complex neutrosophic sets,” Symmetry (Basel). , vol. 10, no. 6, p. 190, 2018.
[4] S. Jay et al. , “Transboundary dimensions of marine spatial planning: fostering interjurisdictional relationships and governance,” Mar. Policy , vol. 65, pp. 85–96, 2016.
[5] MN Hussain, “Assessing the impact of air transport, rail transport and trade openness on inbound and outbound tourism in BRI countries,” J. Air Transp. Manag. , vol. 106, p. 102307, 2023.
[6] T. Karlis, “Maritime Law Issues Related to the Operation of Unmanned Autonomous Cargo Ships,” WMU J. Marit. Aff. , vol. 17, no. 1, pp. 119–128, 2018.
[7] E. Van Hooydonk, “Towards a Global Reformulation of General Principles of Maritime Law,” J. Int. Marit. law , vol. 20, pp. 170–182, 2014.
[8] N. V. Emodi, C. Okereke, F. I. Abam, O. E. Diemuodeke, K. Owebor, and U. A. Nnamani, “Decarbonizing the transport sector in the global South: A systematic literature review,” Energy Strateg. Rev. , vol. 43, p. 100925, 2022,.
[9] Ecuador. National Assembly, “Organic Law on Navigation, Management of Maritime and River Safety and Protection in Aquatic Spaces”, Regist. Of. Suppl. 472 14-Jun-2021 , 2021.
[10] P. Pazmiño Manrique, J.M. Barragán and J. García Sanabria, “Advances in coastal management in Ecuador (2007–2017)”, Environment. Science. Policy , vol. 90, pp. 135–147, 2018.
[11] G. Wilmsmeier, J. Monios, and A. F. B. Farfán, “Evolution of the port system in Ecuador: migration, location division, or specialization ?” , J. Transp. Geogr. , vol. 93, p. 103042, 2021.
[12] T. Serebrisky, J.M. Sarriera, A. Suárez-Alemán, G. Araya, C. Briceño-Garmendía and J. Schwartz, “Exploring the drivers of port efficiency in Latin America and the Caribbean”, Transp. Policy , vol. 45, pp. 31–45, 2016.
[13] E. R. Menéndez Delgado, E. B. Rodríguez Ríos, D. Bernal Casasola and M. del M. Cerbán Jiménez, “Artisanal fishing in Ecuador. A case study of the city of Manta and its economic policies to improve the competitiveness of the sector”, Mar. Policy , vol. 124, p. 104313, 2021.
[14] A. Calatayud, J. Mangan, and R. Palacin, “Vulnerability of international cargo flows to maritime transport network disruptions: A multiplex network perspective,” Transp. Res. Part E Logist. Transp. Rev. , vol. 108, pp. 195–208, 2017.
[15] F. Smarandache et al. , “1 - Introduction to Neutrosophic and Neutrosophic Environment”, Y. Guo and ASBT-NS in MIA Ashour, Eds. Academic Press, 2019, pp. 3–29.
[16] González-Caballero, E., Leyva-Vázquez, M. Y., Batista-Hernández, N., & Smarandache, F. (2024). NeutroGeometry and Fractal Geometry. Neutrosophic Sets and Systems, 71(1), 2. [17] Nabeeh, N. (2023) “Evaluating and contrasting the sustainable growth of various road transport systems using an intelligent neutrosophic multi-criteria decision-making model”, Sustainable Machine Intelligence Journal, 2, pp. (2):1–12.
[18] Computing and Machine Learning , 31 , 1-22.
[31] González-Caballero, E., Leyva-Vázque, M., & Smarandache, F. (2021). On neutrosophic uninorms. Neutrosophic sets and systems , 45 (1), 22.l.
[19] M. S. Wajid, H. Terashima-Marin, P. N. Paul Rad, and M. A. Wajid, “Cloud data-based violence detection approach and neutrosophic cognitive maps,” J. Cloud Comput. , vol. 11, no. 1, p. 85, 2022, .
[20] Molina, E. A. T., Poveda, A. E. R., Pazmiño, B. M. B., & Salazar, K. N. P. (2024). Analysis of the Impact of Soft Skills on Organizational Competitiveness in Cotopaxi through Modeling of the Plithogenic IADOV. Neutrosophic Sets and Systems, 74, 66-74.
[22] X. Cangas Oña, M. Jaramillo Burgos, G. A. Calderón Vallejo and M. Orellana Cepeda, “Neutrosophic decision map for the prioritization of critical success factors in a religious art museum”, Neutrosophic Set System. , vol. 34, no. 1, pp. 48–56, 2020
[23] F. Smarandache and M. Leyva Vázquez, “Mental models and neutrosophic cognitive maps,” Neutrosophic Computing and Machine. Learning. , vol. 1, pp. 22–30, 2018
[24] Gamboa, L. M. A., León-Batallas, A., Ortiz-Mata, J., & Mendoza-Cabrera, D. (2025). Adversarial Machine Learning Challenges in Modern Network Security Systems. Journal of Cybersecurity and Information Management, (2), 01-1. [25] González, IA, Fernández, AJR, & Ricardo, JE ¨Violation of the right to health: case of Albán Cornejo Vs Ecuador¨. University and Society, vol 13 num S2, pp 60-65, 2021.
[25] Robles, H. T. H., López, M. T. C., & Espinoza, F. D. H. (2024). Analysis of the Evolution of Social Competence in Students Through Research Methods Based on Neutrosophic Sets. Neutrosophic Sets and Systems, 74, 24-36.
[26] Ricardo, JE, Fernández, AJ, & Vázquez, MY ¨Compensatory fuzzy logic with single-valued neutrosophic numbers in the analysis of university strategic management¨. International Journal of Neutrosophic Sciences (IJNS), vol 18 num 4, 2022. [27] González-Caballero, E., Leyva-Vázquez, MY, Batista-Hernández, N., & Smarandache, F. (2024). NeutroGeometry and Fractal Geometry. Neutrosophic Sets and Systems, 71 (1), 2.
[28] Smarandache, F. (2024). Foundations of State-of-the-Art Topologies (partial review article). Neutrosophic
