Title :
Genetic fuzzy clustering for the definition of fuzzy sets
Author :
Velasco, Juan R. ; López, Sergio ; Magdalena, Luis
Author_Institution :
ETSI Telecomunicacion, Univ. Politecnica de Madrid, Spain
Abstract :
This paper presents a new algorithm for fuzzy clustering applied to the definition of fuzzy sets. The aim of this algorithm is to obtain a good fuzzy partition for a given variable. It will use a historic data file as input and uses genetic algorithms to evolve a population of fuzzy sets in order to obtain the best fuzzy partition. The main advantage of this algorithm is that it does not need previous knowledge on the number of fuzzy sets. This number is inferred by the algorithm itself. At the end of this paper, some results on real industrial data are presented
Keywords :
fuzzy set theory; genetic algorithms; pattern classification; fuzzy partition; fuzzy sets; genetic fuzzy clustering; historic data file; Clustering algorithms; Clustering methods; Fuzzy control; Fuzzy sets; Genetic algorithms; Input variables; Iterative algorithms; Partitioning algorithms; Proposals; Telecommunications;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.619790
