FAISC: A Fuzzy Artificial Immune System Clustering Algorithm

2007 ◽  
Author(s):  
Zhaodong Liu ◽  
Xin Jin ◽  
Rongfang Bie ◽  
Xiaozhi Gao
Keyword(s):  
Immune System ◽  
Artificial Immune System ◽  
Clustering Algorithm ◽  
Artificial Immune ◽  
System Clustering

Supplier Classification Based on Artificial Immune System Clustering Algorithm

2011 ◽  
Vol 121-126 ◽  
pp. 4796-4800
Author(s):  
Shu Xia Yang ◽  
Hui Ding ◽  
Wan Hua Liang
Keyword(s):  
Cluster Analysis ◽  
Immune System ◽  
Artificial Immune System ◽  
Clustering Algorithm ◽  
Cluster Algorithm ◽  
Optimal Solution ◽  
Artificial Immune ◽  
Analysis Process ◽  
Power Company ◽  
System Clustering

The theory of artificial immune system cluster analysis was studied firstly, the real encoding artificial immune system cluster analysis process was put forward, Then identify indexes of supplier classification were confirmed. Finally, according to a power company some supplier data, supplier were classed, using the cluster analysis with artificial immune system. Suppliers were divided into three categories: the first group includes 3 suppliers, 4 and 3 suppliers for the second group and the third group respectively. The results show that the calculation process of Artificial immune system clustering algorithm is simple, This method can minimize the requirements of professional knowledge and it is suitable to large volume of data while it is not sensitive to the different data order at the same time. So the artificial immune system cluster algorithm has many advantages in obtaining the optimal solution, and the artificial immune system cluster algorithm is feasible to be used in supplier classification.

Sign in / Sign up

Export Citation Format

Share Document