International Journal of Neutrosophic Science

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https://doi.org/10.54216/IJNS

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2690-6805ISSN (Online) 2692-6148ISSN (Print)

Volume 19 , Issue 1 , PP: 314-322, 2022 | Cite this article as | XML | Html | PDF | Full Length Article

Neutrosophic Cognitive Maps for Violence Cause Analysis

H. E. Lozano Rojas 1 * , F. Sánchez Nelson 2 , Mendez Cabrita Marina 3

  • 1 Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Quevedo), Ecuador - (docentetp84@uniandes.edu.ec)
  • 2 Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Riobamba), Ecuador - (ur.nelsonfreire@uniandes.edu.ec)
  • 3 Docente de la carrera de Derecho de la Universidad Regional Autónoma de los Andes (UNIANDES Tulcán), Ecuador - (ut.carmenmmc56@uniandes.edu.ec)
  • Doi: https://doi.org/10.54216/IJNS.190128

    Received: May 03, 2022 Accepted: September 18, 2022
    Abstract

    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.

    Keywords :

    Violence , Neutrosophic , Cognitive Maps , Triangular Neutrosophic Numbers

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    Cite This Article As :
    E., H.. , Sánchez, F.. , Cabrita, Mendez. Neutrosophic Cognitive Maps for Violence Cause Analysis. International Journal of Neutrosophic Science, vol. , no. , 2022, pp. 314-322. DOI: https://doi.org/10.54216/IJNS.190128
    E., H. Sánchez, F. Cabrita, M. (2022). Neutrosophic Cognitive Maps for Violence Cause Analysis. International Journal of Neutrosophic Science, (), 314-322. DOI: https://doi.org/10.54216/IJNS.190128
    E., H.. Sánchez, F.. Cabrita, Mendez. Neutrosophic Cognitive Maps for Violence Cause Analysis. International Journal of Neutrosophic Science , no. (2022): 314-322. DOI: https://doi.org/10.54216/IJNS.190128
    E., H. , Sánchez, F. , Cabrita, M. (2022) . Neutrosophic Cognitive Maps for Violence Cause Analysis. International Journal of Neutrosophic Science , () , 314-322 . DOI: https://doi.org/10.54216/IJNS.190128
    E. H. , Sánchez F. , Cabrita M. [2022]. Neutrosophic Cognitive Maps for Violence Cause Analysis. International Journal of Neutrosophic Science. (): 314-322. DOI: https://doi.org/10.54216/IJNS.190128
    E., H. Sánchez, F. Cabrita, M. "Neutrosophic Cognitive Maps for Violence Cause Analysis," International Journal of Neutrosophic Science, vol. , no. , pp. 314-322, 2022. DOI: https://doi.org/10.54216/IJNS.190128