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 Cote 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 Cote 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

Highlights

  • Today, while data abound, resources are dwindling, it is necessary to have a tools for decision support based on computer and information technologies

  • The use of Bayesian networks technology and dimensional modeling to analyze the level of vulnerability of children in Côte d'Ivoire will be discussed later in this article in order to ease the decision-making of facilitators for the support of children considered vulnerable

  • The care for children in difficulty in order to reduce the level of poverty in African states and even in developing countries is a major issue

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Summary

INTRODUCTION

While data abound, resources are dwindling, it is necessary to have a tools for decision support based on computer and information technologies. These are based on data warehouses which are nothing but conventional databases, the only difference being that the underlying model does not use the entity-base relationship formalism. To offer a dimensional model suitable for the settlement of a data warehouse dedicated to children's resilience. The use of Bayesian networks technology and dimensional modeling to analyze the level of vulnerability of children in Côte d'Ivoire will be discussed later in this article in order to ease the decision-making of facilitators for the support of children considered vulnerable

REVIEW OF LITERATURE ON SOCIAL RESILIENCE
DIMENSIONAL MODELING OF VULNERABLE CHILDREN JUDGED RESILIENCE DATA
BAYESIAN NETWORK RESILIENCE MODELING
PROBABILISTIC MODELING OF THE RESILIENCE OF VULNERABLE CHILDREN
ASSOCIATION GATE DESIGN FOR BEARING-ONLY TARGET TRACKING
CONCLUSION
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