Services Science, Management and Engineering, IITA International Conference on (2009)
July 11, 2009 to July 12, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSME.2009.142
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.
M. Hu, M. Jiang and T. Peng, "Updating the Dynamic Fuzzy Sets Based on Immune Evolutionary," 2009 IITA International Conference on Services Science, Management and Engineering (SSME), Zhangjiajie, 2009, pp. 370-373.