Using qualitative information to predict citizens' satisfaction

Marta Domingo, Núria Agell, Xavier Parra, Mónica Sánchez, Cecilio Angulo

Producció científica: Article en revista indexadaArticleAvaluat per experts


In studies concerned with sustainability the underlying models are, in most cases, not strictly numerical since they depend on many conditions that can be regarded as qualitative. In this paper, a model to evaluate citizens' satisfaction learnt from data collected from a survey is presented. The model, which involves the use of RBF neural networks, will provide local councillors with useful information, enabling them to evaluate trends and improve strategies focused on enhancing sustainability. In this paper a contribution describing a practical experience with a model-based system applied to a study commissioned by the town council of Vilanova i la Geltrú (Catalonia, Spain) is presented.

Idioma originalAnglès
Pàgines (de-a)59-65
Nombre de pàgines7
RevistaAI Communications
Estat de la publicacióPublicada - 2007
Publicat externament


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