DocumentCode :
3299430
Title :
Updating the Dynamic Fuzzy Sets Based on Immune Evolutionary
Author :
Peng, Tao ; Jiang, Minghua ; Hu, Ming
Author_Institution :
Coll. of Comput. Sci., Wuhan Univ. of Sci. & Eng., Wuhan, China
fYear :
2009
fDate :
11-12 July 2009
Firstpage :
370
Lastpage :
373
Abstract :
Fuzzy clustering plays a very important role in clustering analyze and the fuzzy set is the base of the fuzzy clustering. Dynamic fuzzy set can be changed with the environment; in a real process task; the dynamic fuzzy set should be updated, which make the fuzzy set fit the environment well. In this paper, we apply the immune evolutionary into the update of the dynamic fuzzy set; the fitness degree is used as the criteria of update, with the experiment, the schema worked well.
Keywords :
evolutionary computation; fuzzy set theory; pattern clustering; dynamic fuzzy sets; fitness degree; fuzzy clustering; immune evolutionary; Cognition; Computer science; Conference management; Educational institutions; Engineering management; Fuzzy control; Fuzzy logic; Fuzzy sets; Humans; Immune system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Science, Management and Engineering, 2009. SSME '09. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3729-0
Type :
conf
DOI :
10.1109/SSME.2009.142
Filename :
5233271
Link To Document :
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