A qualitative reasoning approach for measuring citizens' satisfaction

M Domingo, N. Agell, JC Aguado, A Catala

Research output: Indexed journal article Meeting Abstractpeer-review

1 Citation (Web of Science)

Abstract

This paper lies within the domain of learning algorithms based on fuzzy logic connectives. It is shown how the use of qualitative information in a learning process will increase the power of generalization. A software tool able to work simultaneously with qualitative and quantitative data is constructed over the discrete structure of absolute orders of magnitude spaces. The software developed will provide city hall councillors with useful information recovered from the data they have collected in a survey designed to evaluate sustainability. The use of LAMDA algorithm to measure the satisfaction of citizens in the patterns is presented.
Original languageEnglish
Pages (from-to)193-198
Number of pages6
JournalFrontiers in Artificial Intelligence and Applications
Volume113
Publication statusPublished - 2004

Keywords

  • Data mining
  • Fuzzy logic
  • Hybrid operators
  • Learning algorithms
  • Qualitative modelling
  • Sustainability

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