Determination of Child Vulnerability Level from a Decision-Making System based on a Probabilistic Model
Autor: | Saha Kouassi Bernard, Goore Bi Tra, Souleymane Oumtanaga, Brou Konan Marcelin |
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Rok vydání: | 2016 |
Předmět: |
Decision support system
General Computer Science Computer science media_common.quotation_subject Vulnerability Context (language use) Statistical model Computer security computer.software_genre Phase (combat) Data warehouse Work (electrical) Risk analysis (engineering) Psychological resilience Resilience (network) computer media_common |
Zdroj: | International Journal of Advanced Computer Science and Applications. 7 |
ISSN: | 2156-5570 2158-107X |
DOI: | 10.14569/ijacsa.2016.071150 |
Popis: | 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 |
Databáze: | OpenAIRE |
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