Abstract
This paper presents a Fuzzy Clustering of Fuzzy Rules Algorithm (FCFRA) with dancing cones that allows the automatic organisation of the sets of fuzzy IF ... THEN rules of one fuzzy system in a Hierarchical Prioritised Structure (HPS). The algorithm belongs to a new methodology for organizing linguistic information, SLIM (Separation of Linguistic Information Methodology), and is based on the concept of relevance of rules. The proposed FCFRA algorithm has been successfully applied to the clustering of an image.
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© 2003 Springer-Verlag Berlin Heidelberg
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Salgado, P. (2003). Possibilistic Hierarchical Fuzzy Model. 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_35
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DOI: https://doi.org/10.1007/978-3-540-45224-9_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40803-1
Online ISBN: 978-3-540-45224-9
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