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                                       Details for article 15 of 16 found articles
 
 
  Using qualitative information to predict citizens' satisfaction
 
 
Title: Using qualitative information to predict citizens' satisfaction
Author: Domingo, Marta
Agell, Núria
Parra, Xavier
Sánchez, Mónica
Angulo, Cecilio
Appeared in: AI communications
Paging: Volume 20 (2007) nr. 1 pages 59-65
Year: 2007-05-04
Contents: 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.
Publisher: IOS Press
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 15 of 16 found articles
 
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