1. Using qualitative information to predict citizens' satisfaction.
- Author
-
Domingo, Marta, Agell, Núria, Parra, Xavier, Sánchez, Mónica, and Angulo, Cecilio
- Subjects
QUALITATIVE reasoning ,ARTIFICIAL intelligence ,ARTIFICIAL neural networks ,MACHINE theory - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2007