Title :
A distance metric suitable for fuzzy partitioning
Author :
Guillaume, Serge ; Charnomordic, Brigitte ; Titli, André
Author_Institution :
Cemagref, Montpellier, France
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this paper, we address the problem to build up from data a fuzzy partition in an iterative procedure based on an original distance metric. Thanks to the used distances: internal distance within a fuzzy set, external distance between two fuzzy sets, distance between prototypes, the family of generated fuzzy partitions keeps the relevant properties of legibility and interpretability. A small and academic example, the iris data, demonstrates the efficiency of the proposed approach
Keywords :
fuzzy logic; fuzzy set theory; pattern clustering; distance metric; fuzzy partitioning; fuzzy set distance; interpretability; iris data; iterative procedure; legibility; pattern clustering; prototype distance; Food industry; Fuzzy control; Fuzzy sets; Induction generators; Iris; Knowledge management; Mathematical model; Production systems; Prototypes; Read only memory;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1007299
