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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.
Abstract: The purpose of this paper is to provide a decision support tool based on a mathematical model and an algorithm that can help in the assessment of the level of vulnerability of children in Côte d'Ivoire. So, this study was conducted in three phases, the first one includes the settlement of a data warehouse. Then the second involves the application of probabilistic model. The final phase deals with the classification of children considered vulnerable in descending order from the most to the least vulnerable. The purpose of this classification is to better manage the resources of donors to support vulnerable children. This work is part of the activities of UMRI The resilience of Côte d’Ivoire. This is to propose mathematical and computational tools to facilitate the work of the Centre for social resilience. The use of the context of children made vulnerable due to crises or diseases is an example of practical application of our social resilience model
SAHA Kouassi Bernard, BROU Konan Marcelin, Gooré Bi Tra and Souleymane OUMTANAGA, “Determination of Child Vulnerability Level from a Decision-Making System based on a Probabilistic Model” International Journal of Advanced Computer Science and Applications(IJACSA), 7(11), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071150
@article{Bernard2016,
title = {Determination of Child Vulnerability Level from a Decision-Making System based on a Probabilistic Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071150},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071150},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {11},
author = {SAHA Kouassi Bernard and BROU Konan Marcelin and Gooré Bi Tra and Souleymane OUMTANAGA}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.