Classification of areas using a multiple criteria approach for a public security problem
Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Débora V. S. Pereira · 2015
This study presents a multiple criteria decision model, integrated with a georeferencing information systems, to identify and classify the most violent areas from a previously defined region. For this study, we analyzed a neighborhood called Boa Viagem, in Pernambuco, Brazil, where a set of factors influencing criminality were considered to indicate an increase of violence. We applied the multiple criteria Dominance-based Rough Set Approach in order to classify sites from this neighborhood. Subsequently, we present alternative strategies to prevent crime according to each region, as the result of the final classification. Therefore, the proposed approach can be combined with a georeferenced graphical environment, revealing a valuable approach to propose solutions and strategies to combat crime.