Fuzzy decision support system for risk analysis in urban requalification project

Urban requalification projects in crowded areas are a challenge for urbanists. The planned benefits are expected in mid-term after the interventions are notorious. However, the intervention is annoying for most of the population who needs to live with the construction. In this paper, we propose a decision support system to evaluate the risk of an urban requalification project do not reach their objectives and do not improve the citizen's well-being. To do so, it is used as a model that connects some famous processes in literature, as Copeland and Analytic Hierarchy Process with the as Picture fuzzy sets. This paper also presents an evaluation in a real case in of Conde da Boa Vista Avenue project, where the model is presented.