DocumentCode
1674667
Title
A distance metric suitable for fuzzy partitioning
Author
Guillaume, Serge ; Charnomordic, Brigitte ; Titli, André
Author_Institution
Cemagref, Montpellier, France
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
264
Lastpage
267
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1007299
Filename
1007299
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