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