International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/1281 2020 2020 Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Quevedo), Ecuador H. E. Lozano Rojas Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Riobamba), Ecuador F. Sánchez Nelson Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Tulcán), Ecuador Mendez Cabrita Marina Among the most valuable AI methods for modeling complicated things at the moment is the use of fuzzy cognitive mapping (FCMs). Conventional FCMs, on the other hand, can't handle the ambiguity that often arises in decision-making scenarios. A novel expansion of conventional FCMs called neutrosophic cognitive mapping (NCMs) was developed to address this shortcoming. However, the indeterminacy is not well handled by the NCMs stated in the citations since the level of indeterminacy is not quantified. In certain cases, choices should be seen as a series of steps that are only loosely related to one another. This occurs in project assessment when several activities depend on one another. Another difficult aspect of FCMs is that there isn't an appropriate topology for representing these types of decision-making difficulties. To aid in making decisions over several time periods, this research introduces a neutrosophic cognitive map built on triangular neutrosophic values (MS-TrNCM) for violence analysis. Through the use of triangular neutrosophic numbers, the suggested model allows experts to express their choices while considering various extents of truth, indeterminacy, and falsity in the underlying map linkages. 2022 2022 314 322 10.54216/IJNS.190128 https://www.americaspg.com/articleinfo/21/show/1281