Abstract
This work presents a fuzzy system for pattern recognition in a real application: the selection of traffic information messages to be displayed in Variable Message Signs located at the main routes of the city of Rio de Janeiro. In this application, flow and occupancy rate data is used to fit human operators’ evaluation of traffic condition, which is currently done from images of strategically located cameras. The fuzzy rule-base mining is presented considering the symbolic relationships between linguistic terms describing variables and classes. The application presents three classifiers built from data.
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© 2003 Springer-Verlag Berlin Heidelberg
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Evsukoff, A.G., Ebecken, N.F.F. (2003). Mining Fuzzy Rules for a Traffic Information System. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_34
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DOI: https://doi.org/10.1007/978-3-540-45224-9_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
Online ISBN: 978-3-540-45224-9
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