Using qualitative information to predict citizens' satisfaction
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. © 2007 - IOS Press and the authors. All rights reserved.
Año de publicación:
2007
Keywords:
- Qualitative reasoning
- Sustainability indicators
- Model-based systems
- Neural networks
Fuente:
scopusTipo de documento:
Article
Estado:
Acceso restringido
Áreas de conocimiento:
- Investigación cualitativa
Áreas temáticas de Dewey:
Objetivos de Desarrollo Sostenible:
- ODS 11: Ciudades y comunidades sostenibles
- ODS 17: Alianzas para lograr los objetivos
- ODS 9: Industria, innovación e infraestructura